144 Commits
2.7.0 ... 3.0.0

Author SHA1 Message Date
k4yt3x
5db2cfd2a3 added anime4k instructions 2020-01-12 03:32:25 -05:00
k4yt3x
652b9f34bd fixing #180 bug2 attempt 2 2020-01-04 17:03:16 -05:00
k4yt3x
f3c50ea728 fixing #180 bug2 2020-01-04 16:59:51 -05:00
k4yt3x
880087241d updated waifu2x-ncnn-vulkan path key for new config structure 2020-01-04 16:56:08 -05:00
k4yt3x
067e17290a 1.6.1 changed driver paths to 3.0.0 config style 2020-01-04 16:49:13 -05:00
k4yt3x
fc675e7899 updated copyright date 2020-01-04 16:48:37 -05:00
K4YT3X
2d81270e44 Set theme jekyll-theme-slate 2019-12-22 06:00:02 +00:00
K4YT3X
3ace2447c2 Create CNAME 2019-12-22 05:48:39 +00:00
K4YT3X
30b0e2c7bf Delete CNAME 2019-12-22 05:48:25 +00:00
k4yt3x
d54fea0310 enables available memory warning for Linux platform 2019-12-19 23:03:58 -05:00
k4yt3x
332055a4e5 fixed temp directory cleaning problem on exit 2019-12-11 22:20:01 -05:00
k4yt3x
19e17b1a8f updated platform information 2019-12-11 21:59:38 -05:00
k4yt3x
9e745fb747 video2x_gui 1.1.3: fixed driver path key name 2019-12-11 21:59:20 -05:00
K4YT3X
fd5edead7e Merge pull request #171 from YOUSIKI/master
Check platform correctly
2019-11-30 19:56:08 +00:00
YOUSIKI
aa7c0b3f12 Check platform correctly
Continue if running on win32.
Exit if running on other platforms.
2019-11-30 22:56:34 +08:00
k4yt3x
65cc4c6afb Merge branch '3.0.0' 2019-11-26 04:14:13 -05:00
k4yt3x
bd2da021bd updated README for 3.0.0 2019-11-26 04:12:04 -05:00
k4yt3x
7e888db7b2 formatted YAML file 2019-11-26 04:10:01 -05:00
k4yt3x
7726a86e35 added platform check, made PermissionError more obvious 2019-11-26 04:03:03 -05:00
K4YT3X
a0595136ab Create CNAME 2019-11-18 06:43:00 +00:00
K4YT3X
5c93a5a73b Delete CNAME 2019-11-18 06:42:54 +00:00
K4YT3X
7b9b87fa9b Create CNAME 2019-11-17 05:41:13 +00:00
k4yt3x
cb255da65c added missing sys library import 2019-11-16 02:54:25 -05:00
k4yt3x
d503325a62 changed YAML load to FullLoader to make it WIndows-compatible 2019-11-16 02:52:33 -05:00
k4yt3x
954233c238 changed default config path from JSON to YAML 2019-11-16 01:51:01 -05:00
k4yt3x
95416f68a8 make the GUI script YAML-compatible 2019-11-16 01:50:41 -05:00
k4yt3x
dce778b3bf 1.1.2 fixed repeated output file extensions 2019-11-15 22:40:48 -05:00
k4yt3x
c537dd726c changed YAML loader to Windows compatible FullLoader 2019-11-15 22:40:19 -05:00
k4yt3x
b1918a4a8a fixed pixel_formats print bug and subprocess execution bug 2019-11-15 02:39:27 -05:00
k4yt3x
7ae9618785 updated file modification date 2019-11-15 02:38:39 -05:00
k4yt3x
eb3d29103c fixed anime4k path key 2019-11-15 02:38:11 -05:00
k4yt3x
a188f6ebda 1.6.0 added support for YAML, better exception handling 2019-11-15 02:04:12 -05:00
k4yt3x
fd67dfca11 docstring modifications, added JDK warning 2019-11-15 02:03:44 -05:00
k4yt3x
b1f29f1098 fixed NCNN Vulkan driver argument error 2019-11-15 01:09:55 -05:00
k4yt3x
fe7c0c840d fixed type error for waifu2x-ncnn-vulkan argument 2019-10-24 21:33:05 -04:00
k4yt3x
dc2410d4da renaming variables, using YAML to replace JSON 2019-10-19 21:53:12 -04:00
k4yt3x
91ac512d57 remove .exe extension for Linux compatibility 2019-10-19 21:52:31 -04:00
k4yt3x
732288f075 renamed waifu2x_settings to driver_settings 2019-10-19 21:52:11 -04:00
k4yt3x
e812c228c3 updated file permissions 2019-10-19 21:51:18 -04:00
k4yt3x
9841fa9577 converted JSON config into YAML 2019-10-19 21:45:44 -04:00
k4yt3x
5391f59847 renamed bin to src since python isn't binary 2019-10-19 21:40:00 -04:00
k4yt3x
6180ccd9b2 fixing folder upscaling function 2019-08-29 16:03:15 -04:00
k4yt3x
e10315f89e using contextlib instead of try-catch 2019-08-25 23:03:37 -04:00
k4yt3x
6521e071ce enhanced logo-printing 2019-08-25 23:03:18 -04:00
k4yt3x
a685e91b14 removed unused dependencies 2019-08-25 23:02:59 -04:00
k4yt3x
9d72bad314 temporary fix for Anime4K download 2019-08-20 22:40:26 -04:00
k4yt3x
2b63b5f0a6 added total time display 2019-08-17 23:28:37 -04:00
k4yt3x
9c84228c17 added screenshot for video2x gui 2019-08-17 23:19:47 -04:00
k4yt3x
f9bb191336 fixed gui compatibility with anime4k, added constraints for a4k 2019-08-17 18:16:47 -04:00
K4YT3X
7a3af366f8 Merge pull request #137 from k4yt3x/2.10.0-anime4k
2.10.0 anime4k
2019-08-16 15:49:33 +00:00
k4yt3x
d4223f93ec fixed a4k not installed bug 2019-08-16 02:53:07 -04:00
k4yt3x
c5c764a91f GUI 1.1.1: Added support for Anime4K 2019-08-16 02:49:38 -04:00
k4yt3x
ba6472c9fc exe build is out of beta 2019-08-16 02:49:22 -04:00
k4yt3x
dc1244580f updated README for 2.10.0 2019-08-16 00:46:43 -04:00
k4yt3x
0347d05127 setup script 1.5.0: added support for Anime4K 2019-08-16 00:36:45 -04:00
k4yt3x
45f5bf91e6 updated anime4k path 2019-08-16 00:36:22 -04:00
k4yt3x
5e78beabcf added thread dialog for anime4k 2019-08-16 00:19:36 -04:00
k4yt3x
6c5b7ea17f moved constants into one single place 2019-08-15 23:57:24 -04:00
k4yt3x
d9610abae0 fixed thread-unsafe printing 2019-08-15 23:56:55 -04:00
k4yt3x
47471352ba 2.10.0 added anime4k support 2019-08-15 23:34:24 -04:00
k4yt3x
969cfe5c0d fixing issue #134 2019-08-11 23:57:10 -04:00
k4yt3x
e12db41213 updated bug report template for newest version of v2x 2019-08-07 23:07:55 -04:00
k4yt3x
7a69d58e28 placed version number into window title 2019-08-07 22:56:41 -04:00
k4yt3x
ad6308d385 relocated docstrings 2019-08-07 22:54:39 -04:00
k4yt3x
8c3a85ac42 GUI 1.1.0 added basic menu bar and better output file naming check 2019-08-07 22:54:33 -04:00
k4yt3x
db603062e9 updated main file date 2019-08-03 23:15:36 -04:00
k4yt3x
807276fcc3 fixing converter frame filename issues 2019-08-03 23:15:19 -04:00
k4yt3x
9be46f7d62 fixing support for waifu2x_ncnn_vulkan 2019-08-03 23:15:03 -04:00
k4yt3x
f42a8ab71f fixed waifu2x-ncnn-vulkan argument errors 2019-08-03 21:29:13 -04:00
k4yt3x
e3b2624977 fixed the issue where subprocess tries to execute pathlib.Path 2019-08-03 19:45:22 -04:00
k4yt3x
685d894bef Merge remote-tracking branch 'origin/master' 2019-07-30 01:28:43 -04:00
k4yt3x
b0167e9f08 Setup Script 1.4.0: fixed ncnn setup error, fixed JSON error 2019-07-30 01:28:29 -04:00
K4YT3X
74767743bd Merge pull request #130 from k4yt3x/video2x_gui
added alpha version of video2x gui
2019-07-30 05:12:08 +00:00
k4yt3x
ece345e531 added alpha version of video2x gui 2019-07-28 03:09:40 -04:00
k4yt3x
47e787c80c added more exceptions for better error handling 2019-07-27 17:52:31 -04:00
k4yt3x
4639555626 added a missing new line 2019-07-27 17:52:18 -04:00
k4yt3x
d423fa1b6e updated code contributors list 2019-07-27 17:38:52 -04:00
K4YT3X
734cf7bb0e Merge pull request #129 from k4yt3x/2.9.0
2.9.0
2019-07-27 21:34:35 +00:00
k4yt3x
77ad212b01 updated README for 2.9.0 2019-07-27 17:33:35 -04:00
k4yt3x
a27bdb4b63 changed file handling method from os to pathlib 2019-07-27 17:29:33 -04:00
k4yt3x
89dfd21f97 removed f_string support for legacy versions of Python 2019-07-27 13:39:40 -04:00
k4yt3x
5151be4122 fixing issue #94 2019-07-26 14:22:49 -04:00
K4YT3X
f8d3fa5c25 Merge pull request #122 from sat3ll/waifu2x_vk_update
update waifu2x_ncnn_vulkan wrapper
2019-07-13 05:07:47 +00:00
sat3ll
61abcc6a3a When batch upscaling (new behavior), for sub 8G VRAM gpus, the recommended value is 200. 2019-07-13 01:08:31 +01:00
sat3ll
40a4d3a602 update waifu2x_ncnn_vulkan wrapper for directory as input
add workaround for the double file extension
2019-07-12 23:12:08 +01:00
K4YT3X
9429b04528 Merge pull request #121 from sat3ll/w2x-vulkan-update
update waifu2x_ncnn_vulkan to new options
2019-07-10 02:51:15 +00:00
k4yt3x
55c2f7abfb extracting frames into rgba64be format 2019-07-09 22:48:29 -04:00
k4yt3x
c7c83d35ed updated README for 2.8.1 2019-07-09 20:48:54 -04:00
k4yt3x
ca90c5be02 2.8.1 added automatic pixel format and color depth detection 2019-07-09 20:47:55 -04:00
sat3ll
5a2b387b9d deduplicate code 2019-07-10 01:36:26 +01:00
sat3ll
eda5d70773 update waifu2x_ncnn_vulkan to new options 2019-07-10 01:30:50 +01:00
k4yt3x
8b845e35b3 matching JSON indentation 2019-06-29 13:49:34 -04:00
k4yt3x
e3b7110ff5 added vulkan reference link 2019-06-25 23:59:51 -04:00
k4yt3x
cefa2c4f30 updated README for 2.8.0 2019-06-25 23:48:41 -04:00
k4yt3x
4d9c0866ce 2.8.0 added support for waifu2x-ncnn-vulkan 2019-06-25 23:48:22 -04:00
K4YT3X
25fca78eb4 Merge pull request #112 from sat3ll/waifu2x-ncnn-vk
Add support for waifu2x-ncnn-vulkan engine
2019-06-26 03:40:34 +00:00
k4yt3x
4a0ffae6c8 updated key order for w2x ncnn 2019-06-25 23:39:53 -04:00
k4yt3x
f94f99eb1c sorted imports, updated dates 2019-06-25 23:36:03 -04:00
k4yt3x
a9586bf508 updated version to 1.3.0, using shutil.rmtree instead of os.rmdir 2019-06-25 23:35:42 -04:00
k4yt3x
5f69a44bf7 changed some wording 2019-06-25 23:35:17 -04:00
k4yt3x
1ee76c0224 removed redundant code block 2019-06-25 23:34:57 -04:00
sat3ll
0b99ac33a6 change waifu2x-ncnn-vulkan to underscores
agglomerate waifu2x choices to a list
2019-06-26 00:50:29 +01:00
sat3ll
4e3565b3ac Add support for waifu2x-ncnn-vulkan engine 2019-06-26 00:25:27 +01:00
K4YT3X
b40aee0cd7 Merge pull request #107 from BrianPetkovsek/Fix-encoding-problem
Fixed encoding problem
2019-06-18 14:28:20 +00:00
Brian Petkovsek
5b27cf26e1 Merge pull request #3 from BrianPetkovsek/master
remove uninstall not needed
2019-06-17 22:38:50 -04:00
BrianPetkovsek
8fe6fd4009 Fix encoding problem 2019-06-17 22:37:04 -04:00
BrianPetkovsek
d4d485e132 Revert "Added uninstall function to setup"
This reverts commit d25857a178.
2019-06-17 22:34:45 -04:00
BrianPetkovsek
53f5192896 Revert "Fix encoding problem"
This reverts commit 81af7b1c1b.
2019-06-17 22:33:27 -04:00
Brian Petkovsek
e6d865a80d Merge pull request #2 from BrianPetkovsek/master
Added uninstall function to setup
2019-06-17 12:06:43 -04:00
BrianPetkovsek
d25857a178 Added uninstall function to setup 2019-06-17 12:05:06 -04:00
BrianPetkovsek
81af7b1c1b Fix encoding problem 2019-06-16 17:32:41 -04:00
K4YT3X
81b8e45b6f Merge pull request #104 from BrianPetkovsek/master
make video2x backwards compatible
2019-06-15 14:44:32 -04:00
K4YT3X
e003cbc568 Merge branch 'master' into master 2019-06-15 14:42:56 -04:00
k4yt3x
f96b95563e code style adjustments 2019-06-15 14:35:22 -04:00
K4YT3X
76144b589a Merge pull request #103 from sat3ll/wip_1
use os.path.join
2019-06-15 14:26:28 -04:00
sat3ll
15d2dbb07a use os.path.join 2019-06-15 12:32:36 +01:00
BrianPetkovsek
9d5ad2f70c make video2x backwards compatible
adds future-fstrings package
transforms the source to .format() format on runtime
2019-06-14 21:43:18 -04:00
BrianPetkovsek
b5da9ebbf7 make setup backwards compatible
change the f'' to ''.format()
2019-06-14 21:37:38 -04:00
BrianPetkovsek
a1e1d98929 Make pip_install function more flexible
sys.executable gets the python.exe used to run the script
-r allows pip to use requirements.txt
2019-06-14 21:11:31 -04:00
BrianPetkovsek
fafd5fadd3 Merge remote-tracking branch 'upstream/master' 2019-06-14 20:54:04 -04:00
k4yt3x
1280a791ec fixing issue #102 2019-06-14 01:15:13 -04:00
k4yt3x
8e85d6a6d3 fixed threading bugs found by @Aidolii 2019-06-13 23:49:18 -04:00
k4yt3x
8b0f82e95e 2.7.2 fixed threading bugs found by @Aidolii 2019-06-13 23:49:10 -04:00
k4yt3x
a6666c3c3b added version option 2019-06-13 23:42:43 -04:00
BrianPetkovsek
585164a508 Merge remote-tracking branch 'upstream/master' 2019-06-12 18:06:08 -04:00
k4yt3x
6b3e1b9768 fixing video to frames ffmpeg config parsing order error 2019-06-09 21:31:13 -04:00
k4yt3x
0f4daa12d2 fixing a bug found by @CardinalPanda 2019-06-05 12:18:51 -04:00
k4yt3x
4cf83dc565 fixing progress bar bug found by @CardinalPanda 2019-05-25 23:20:31 -04:00
k4yt3x
146044505b fixed issue #77 incorrect output video format 2019-05-06 16:25:10 -04:00
k4yt3x
a7d41cafdf changed default number of threads to 1 2019-04-30 03:53:40 -04:00
k4yt3x
875572c75a corrected repo links and step by step instruction description 2019-04-29 00:11:30 -04:00
k4yt3x
c7353c4bf2 unified all "folder/directory" into "directory" to end this mess 2019-04-29 00:06:54 -04:00
k4yt3x
0af68bb39c added description for Q&A page 2019-04-29 00:05:56 -04:00
k4yt3x
19cb823591 all string formatting switched to f-string 2019-04-22 01:26:36 -04:00
k4yt3x
6c1a714a1e updated README for 2.7.1 2019-04-18 14:57:30 -04:00
k4yt3x
837aca371e fixed temp folders bug 2019-04-18 14:56:30 -04:00
k4yt3x
6538abd6e5 corrected a typo 2019-04-11 14:56:51 -04:00
k4yt3x
a57465e866 added input and output file type mismatch check 2019-04-11 14:53:46 -04:00
k4yt3x
405c4b6636 fixed error reading video resolution 2019-04-02 16:23:59 -04:00
k4yt3x
3d46e1a822 changed default crf value to visually lossless, added video bitrate limit option 2019-04-01 16:02:26 -04:00
k4yt3x
7b501f2c67 added video2x builds information 2019-03-31 03:58:09 -04:00
k4yt3x
98e2cbdb04 1.2.1 added support for exe packaging 2019-03-31 03:46:15 -04:00
k4yt3x
25156077f2 added function to absolutify paths set in config file for better exe support 2019-03-31 03:23:08 -04:00
Brian Petkovsek
b984977227 Merge pull request #1 from K4YT3X/master
Pull latest updates
2019-03-25 02:14:50 -04:00
23 changed files with 2460 additions and 1123 deletions

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@@ -11,10 +11,11 @@ assignees: K4YT3X
|Module|Version|
|-|-|
|`video2x`||
|`ffmpeg`||
|`Video2X`||
|`FFmpeg`||
|`waifu2x-caffe`||
|`waifu2x-converter-cpp`||
|`waifu2x-ncnn-vulkan`||
## Symptom

1
CNAME Normal file
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@@ -0,0 +1 @@
video2x.org

122
README.md
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@@ -2,36 +2,51 @@
### Official Discussion Group (Telegram): https://t.me/video2x
## Download Builds (Windows)
You can go to the [releases page](https://github.com/k4yt3x/video2x/releases) to download the latest builds of `Video2X`. The exe files will require no Python or Python module installation.
The **`full`** package provides all packages that will possibly be needed by `Video2X`, including `FFmpeg`, `waifu2x-caffe`, `waifu2x-converter-cpp`, `waifu2x-ncnn-vulkan`, and `Anime4K`. The config file (`video2x.json`) is also already configured for the environment. All you need to do is just to launch `video2x.exe`.
The **`light`** package provides only the most basic functions of `Video2X`. Only `video2x.exe`, `video2x_setup.exe` and `video2x.json` are included. To setup dependencies (e.g. `FFmpeg` and `Waifu2X`) automatically, simply launch `video2x_setup.exe`.
## Prerequisites
Component names that are **bolded** are mandatory.
Component names that are **bolded** can be automatically downloaded and configured with the `video2x_setup.py` script.
Component names that are *italicized* can be automatically downloaded and configured with the `video2x_setup.py` script.
1. Operating System: Windows
1. AMD GPU / Nvidia GPU
1. AMD GPU driver / Nvidia GPU driver / Nvidia CUDNN
1. [***FFMPEG***](https://ffmpeg.zeranoe.com/builds/)
1. [***waifu2x-caffe***](https://github.com/lltcggie/waifu2x-caffe/releases) / [***waifu2x-converter-cpp***](https://github.com/DeadSix27/waifu2x-converter-cpp/releases)
1. Operating System: Windows / Linux
2. AMD GPU / Nvidia GPU
3. AMD GPU driver / Nvidia GPU driver / Nvidia CUDNN
4. [**FFmpeg**](https://ffmpeg.zeranoe.com/builds/)
5. One of the following drivers
- [**waifu2x-caffe**](https://github.com/lltcggie/waifu2x-caffe/releases)
- [**waifu2x-converter-cpp**](https://github.com/DeadSix27/waifu2x-converter-cpp/releases)
- [**waifu2x-ncnn-vulkan**](https://github.com/nihui/waifu2x-ncnn-vulkan)
- [**Anime4K**](https://github.com/bloc97/Anime4K)
## Recent Changes
### 2.7.0 (March 30, 2019)
### 3.0.0 (November 26, 2019)
- Added support for different extracted image formats.
- Redesigned FFMPEG wrapper, FFMPEG settings are now customizable in the `video2x.json` config file.
- Other minor enhancements and adjustments (e.g. argument -> method variable)
- Linux compatibility
- Configuration file changed to YAML format
- You may still use a JSON-formatted config file. To do so, please specify `-c video2x.json`.
- Other code clean-up and optimization
### Setup Script 1.2.0 (March 26, 2019)
### 2.10.0 (August 16, 2019)
- `video2x_setup.py` script can now automatically download and configure `waifu2x-converter-cpp`.
- replaced old progress indicator with progress bar.
- **Added support for [Anime4K](https://github.com/bloc97/Anime4K)**
### 2.6.3 (March 24, 2019)
### 2.9.0 (July 27, 2019)
- Added image cleaner by @BrianPetkovsek which removes upscaled frames.
- Fixed some PEP8 issues.
- Exceptions in waifu2x are now caught, and script will now stop on waifu2x error instead of keep going on to FFMPEG.
- Changed file handling method from `os` to `pathlib`
- Removed f_string dependency and support for legacy versions of Python
- Organized file import statements
### Setup Script 1.6.0 (November 26, 2019)
- Added compatibility for new YAML configuration file
- Added better exception handling
## Description
@@ -49,23 +64,29 @@ Clip is from trailer of animated movie "千と千尋の神隠し". Copyright bel
## Screenshot
![video2x_gui](https://user-images.githubusercontent.com/21986859/63219691-ee478400-c166-11e9-8c15-dcf59228bd96.png)
![screenshot](https://user-images.githubusercontent.com/21986859/40265170-39c0caae-5b01-11e8-8371-8b6c24769639.png)
---
## Documentations
### [Video2X Wiki](https://github.com/K4YT3X/video2x/wiki)
### [Video2X Wiki](https://github.com/k4yt3x/video2x/wiki)
You can find all detailed user-facing and developer-facing documentations in the [Video2X Wiki](https://github.com/K4YT3X/video2x/wiki). It covers everything from step-by-step instructions for beginners, to the code structure of this program for advanced users and developers. If this README page doesn't answer all your questions, the wiki page is where you should head to.
You can find all detailed user-facing and developer-facing documentations in the [Video2X Wiki](https://github.com/k4yt3x/video2x/wiki). It covers everything from step-by-step instructions for beginners, to the code structure of this program for advanced users and developers. If this README page doesn't answer all your questions, the wiki page is where you should head to.
### [Step-By-Step Tutorial](https://github.com/K4YT3X/video2x/wiki/Step-By-Step-Tutorial) (Nvidia GPUs)
### [Step-By-Step Tutorial](https://github.com/k4yt3x/video2x/wiki/Step-By-Step-Tutorial)
For those who want a detailed walk-through of how to use `Video2X`, you can head to the [Step-By-Step Tutorial](https://github.com/K4YT3X/video2x/wiki/Step-By-Step-Tutorial) wiki page. It includes almost every step you need to perform in order to enlarge your first video.
For those who want a detailed walk-through of how to use `Video2X`, you can head to the [Step-By-Step Tutorial](https://github.com/k4yt3x/video2x/wiki/Step-By-Step-Tutorial) wiki page. It includes almost every step you need to perform in order to enlarge your first video.
### [Waifu2X Drivers](https://github.com/K4YT3X/video2x/wiki/Waifu2X-Drivers)
### [Waifu2X Drivers](https://github.com/k4yt3x/video2x/wiki/Waifu2X-Drivers)
Go to the [Waifu2X Drivers](https://github.com/K4YT3X/video2x/wiki/Waifu2X-Drivers) wiki page if you want to see a detailed description on the different types of `waifu2x` drivers implemented by `Video2X`. This wiki page contains detailed difference between different drivers, and how to download and set each of them up for `Video2X`.
Go to the [Waifu2X Drivers](https://github.com/k4yt3x/video2x/wiki/Waifu2X-Drivers) wiki page if you want to see a detailed description on the different types of `waifu2x` drivers implemented by `Video2X`. This wiki page contains detailed difference between different drivers, and how to download and set each of them up for `Video2X`.
### [Q&A](https://github.com/k4yt3x/video2x/wiki/Q&A)
If you have any questions, first try visiting our [Q&A](https://github.com/k4yt3x/video2x/wiki/Q&A) page to see if your question is answered there. If not, open an issue and we will respond to your questions ASAP.
---
@@ -73,27 +94,31 @@ Go to the [Waifu2X Drivers](https://github.com/K4YT3X/video2x/wiki/Waifu2X-Drive
### Prerequisites
- **Python 3**
- **Python 3**
Download: https://www.python.org/downloads/windows/
- **FFMPEG Windows Build**
Download: https://ffmpeg.org/download.html
- **waifu2x-caffe** (for Nvidia CUDA/CUDNN)
- **FFmpeg Windows Build**
Download: https://ffmpeg.org/download.html
- **waifu2x-caffe** (for Nvidia CUDA/CUDNN)
Download: https://github.com/lltcggie/waifu2x-caffe/releases
- **waifu2x-converter-cpp** (required for AMD, OpenCL and OpenGL processing)
- **waifu2x-converter-cpp** (required for AMD, OpenCL and OpenGL processing)
Download: https://github.com/DeadSix27/waifu2x-converter-cpp/releases
- **waifu2x-ncnn-vulkan**
Download: https://github.com/nihui/waifu2x-ncnn-vulkan/releases
- **Anime4K**
Download: https://github.com/bloc97/Anime4K/releases
### Installing Dependencies
First, clone the video2x repository.
```shell
git clone https://github.com/K4YT3X/video2x.git
git clone https://github.com/k4yt3x/video2x.git
cd video2x/bin
```
Then you may run the `video2x_setup.py` script to install and configure the dependencies automatically. This script is designed and tested on Windows 10.
This script will install the newest version of `ffmpeg`, either or both of `waifu2x-caffe` and `waifu2x-converter-cpp` to `%LOCALAPPDATA%\\video2x` and all required python libraries.
This script will install the newest version of `ffmpeg`, any one or all `waifu2x-caffe`, `waifu2x-converter-cpp`, and `waifu2x-ncnn-vulkan` to `%LOCALAPPDATA%\\video2x` and all required python libraries.
```shell
python video2x_setup.py
@@ -128,7 +153,7 @@ Enlarge the video to 1920x1080 using CUDA. You may also use the `-r/--ratio` opt
python video2x.py -i sample_input.mp4 -o sample_output.mp4 -m gpu --width=1920 --height=1080
```
### Nvidia CNDNN
### Nvidia CUDNN
Enlarge the video to 1920x1080 using CUDNN. You may also use the `-r/--ratio` option.
@@ -144,9 +169,23 @@ Enlarge the video by 2 times using OpenCL. Note that `waifu2x-converter-cpp` doe
python video2x.py -i sample_input.mp4 -o sample_output.mp4 -m gpu -r 2 -d waifu2x_converter
```
### AMD or Nvidia (waifu2x-ncnn-vulkan Vulkan)
```shell
python video2x.py -i sample_input.mp4 -o sample_output.mp4 -m gpu -r 2 -d waifu2x_ncnn_vulkan
```
### Anime4K
Enlarge the video by 2 times using Anime4K. **Remember to install and configure [JRE 12](https://www.oracle.com/technetwork/java/javase/downloads/java-archive-javase12-5440181.html) path in the configuration file.**
```shell
python video2x.py -i sample_input.mp4 -o sample_output.mp4 -r 2 -d anime4k
```
### CPU
Enlarge the video to 1920x1080 using the CPU. You may also use the `-r/--ratio` option. This is potentially much slower than using a GPU. The configuration file for this method is similar to the previous methods.
Enlarge the video to 1920x1080 using the CPU. You may also use the `-r/--ratio` option. **waifu2x-based upscalers potentially run much slower than using a GPU, but Anime4K is more CPU-dependant**. The configuration file for this method is similar to the previous methods.
```shell
python video2x.py -i sample_input.mp4 -o sample_output.mp4 -m cpu --width=1920 --height=1080
@@ -209,16 +248,25 @@ https://www.gnu.org/licenses/gpl-3.0.txt
![GPLv3 Icon](https://www.gnu.org/graphics/gplv3-127x51.png)
(C) 2018-2019 K4YT3X
(C) 2018-2020 K4YT3X
## Credits
This project relies on the following software and projects.
- [FFMPEG]('https://www.ffmpeg.org/')
- [FFmpeg]('https://www.ffmpeg.org/')
- [waifu2x-caffe](https://github.com/lltcggie/waifu2x-caffe)
- [waifu2x-converter-cpp](https://github.com/DeadSix27/waifu2x-converter-cpp)
- [waifu2x-ncnn-vulkan](https://github.com/nihui/waifu2x-ncnn-vulkan)
- [Anime4K](https://github.com/bloc97/Anime4K)
## Special Thanks
Appreciations given to the following code contributors:
- @BrianPetkovsek
- @SAT3LL
## Related Resources
- [Dandere2x](https://github.com/CardinalPanda/dandere2x): `Dandere2x` is a lossy video upscaler also built around `waifu2x`, but with video compression techniques to shorten the time needed to process a video.
- [Dandere2x](https://github.com/CardinalPanda/dandere2x): `Dandere2x` is a lossy video upscaler also built around `waifu2x`, but with video compression techniques to shorten the time needed to process a video.

1
_config.yml Normal file
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@@ -0,0 +1 @@
theme: jekyll-theme-slate

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@@ -1,13 +0,0 @@
#!/usr/bin/env python3
# -*- code:utf-8 -*-
"""
Name: Video2X Exceptions
Dev: K4YT3X
Date Created: December 13, 2018
Last Modified: March 19, 2019
"""
class ArgumentError(Exception):
def __init__(self, message):
super().__init__(message)

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@@ -1,147 +0,0 @@
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Name: FFMPEG Class
Author: K4YT3X
Date Created: Feb 24, 2018
Last Modified: March 30, 2019
Description: This class handles all FFMPEG related
operations.
"""
from avalon_framework import Avalon
import json
import subprocess
class Ffmpeg:
"""This class communicates with ffmpeg
This class deals with ffmpeg. It handles extracitng
frames, stripping audio, converting images into videos
and inserting audio tracks to videos.
"""
def __init__(self, ffmpeg_settings, image_format):
self.ffmpeg_settings = ffmpeg_settings
self.ffmpeg_path = self.ffmpeg_settings['ffmpeg_path']
# add a forward slash to directory if not present
# otherwise there will be a format error
if self.ffmpeg_path[-1] != '/' and self.ffmpeg_path[-1] != '\\':
self.ffmpeg_path = '{}\\'.format(self.ffmpeg_path)
self.ffmpeg_binary = '{}ffmpeg.exe'.format(self.ffmpeg_path)
self.ffmpeg_probe_binary = '{}ffprobe.exe'.format(self.ffmpeg_path)
self.image_format = image_format
def get_video_info(self, input_video):
""" Gets input video information
This method reads input video information
using ffprobe in dictionary.
Arguments:
input_video {string} -- input video file path
Returns:
dictionary -- JSON text of input video information
"""
# this execution command needs to be hard-coded
# since video2x only strictly recignizes this one format
execute = [
self.ffmpeg_probe_binary,
'-v',
'quiet',
'-print_format',
'json',
'-show_format',
'-show_streams',
'-i',
'{}'.format(input_video)
]
Avalon.debug_info('Executing: {}'.format(' '.join(execute)))
json_str = subprocess.run(execute, check=True, stdout=subprocess.PIPE).stdout
return json.loads(json_str.decode('utf-8'))
def extract_frames(self, input_video, extracted_frames):
"""Extract every frame from original videos
This method extracts every frame from videoin
using ffmpeg
Arguments:
input_video {string} -- input video path
extracted_frames {string} -- video output folder
"""
execute = [
self.ffmpeg_binary,
'-i',
input_video,
'{}\\extracted_%0d.{}'.format(extracted_frames, self.image_format)
]
self._execute(execute=execute, phase='video_to_frames')
def convert_video(self, framerate, resolution, upscaled_frames):
"""Converts images into videos
This method converts a set of images into a
video.
Arguments:
framerate {float} -- target video framerate
resolution {string} -- target video resolution
upscaled_frames {string} -- source images folder
"""
execute = [
self.ffmpeg_binary,
'-r',
str(framerate),
'-s',
resolution,
'-i',
'{}\\extracted_%d.{}'.format(upscaled_frames, self.image_format),
'{}\\no_audio.mp4'.format(upscaled_frames)
]
self._execute(execute=execute, phase='frames_to_video')
def migrate_audio_tracks_subtitles(self, input_video, output_video, upscaled_frames):
""" Migrates audio tracks and subtitles from input video to output video
Arguments:
input_video {string} -- input video file path
output_video {string} -- output video file path
upscaled_frames {string} -- directory containing upscaled frames
"""
execute = [
self.ffmpeg_binary,
'-i',
'{}\\no_audio.mp4'.format(upscaled_frames),
'-i',
input_video,
output_video
]
self._execute(execute=execute, phase='migrating_tracks')
def _execute(self, execute, phase):
for key in self.ffmpeg_settings[phase].keys():
value = self.ffmpeg_settings[phase][key]
# null or None means that leave this option out (keep default)
if value is None or value is False:
continue
else:
execute.append(key)
# true means key is an option
if value is True:
continue
execute.append(str(value))
Avalon.debug_info('Executing: {}'.format(execute))
return subprocess.run(execute, shell=True, check=True).returncode

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@@ -1,305 +0,0 @@
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Name: Video2X Upscaler
Author: K4YT3X
Date Created: December 10, 2018
Last Modified: March 30, 2019
Licensed under the GNU General Public License Version 3 (GNU GPL v3),
available at: https://www.gnu.org/licenses/gpl-3.0.txt
(C) 2018-2019 K4YT3X
"""
from avalon_framework import Avalon
from exceptions import *
from ffmpeg import Ffmpeg
from fractions import Fraction
from image_cleaner import ImageCleaner
from tqdm import tqdm
from waifu2x_caffe import Waifu2xCaffe
from waifu2x_converter import Waifu2xConverter
import os
import re
import shutil
import tempfile
import threading
import time
class Upscaler:
""" An instance of this class is a upscaler that will
upscale all images in the given folder.
Raises:
Exception -- all exceptions
ArgumentError -- if argument is not valid
"""
def __init__(self, input_video, output_video, method, waifu2x_settings, ffmpeg_settings):
# mandatory arguments
self.input_video = input_video
self.output_video = output_video
self.method = method
self.waifu2x_settings = waifu2x_settings
self.ffmpeg_settings = ffmpeg_settings
# optional arguments
self.waifu2x_driver = 'waifu2x_caffe'
self.scale_width = None
self.scale_height = None
self.scale_ratio = None
self.model_dir = None
self.threads = 5
self.video2x_cache_folder = '{}\\video2x'.format(tempfile.gettempdir())
self.image_format = 'png'
self.preserve_frames = False
# create temporary folder/directories
self.extracted_frames = tempfile.mkdtemp(dir=self.video2x_cache_folder)
Avalon.debug_info('Extracted frames are being saved to: {}'.format(self.extracted_frames))
self.upscaled_frames = tempfile.mkdtemp(dir=self.video2x_cache_folder)
Avalon.debug_info('Upscaled frames are being saved to: {}'.format(self.upscaled_frames))
def cleanup(self):
# delete temp directories when done
# avalon framework cannot be used if python is shutting down
# therefore, plain print is used
if not self.preserve_frames:
for directory in [self.extracted_frames, self.upscaled_frames]:
try:
print('Cleaning up cache directory: {}'.format(directory))
shutil.rmtree(directory)
except (OSError, FileNotFoundError):
pass
def _check_arguments(self):
# check if arguments are valid / all necessary argument
# values are specified
if not self.input_video:
raise ArgumentError('You need to specify the video to process')
elif (not self.scale_width or not self.scale_height) and not self.scale_ratio:
raise ArgumentError('You must specify output video width and height or upscale factor')
elif not self.output_video:
raise ArgumentError('You need to specify the output video name')
elif not self.method:
raise ArgumentError('You need to specify the enlarging processing unit')
def _progress_bar(self, extracted_frames_folders):
""" This method prints a progress bar
This method prints a progress bar by keeping track
of the amount of frames in the input directory/folder
and the output directory/folder. This is originally
suggested by @ArmandBernard.
"""
# get number of extracted frames
total_frames = 0
for folder in extracted_frames_folders:
total_frames += len([f for f in os.listdir(folder) if f[-4:] == '.png'])
with tqdm(total=total_frames, ascii=True, desc='Upscaling Progress') as progress_bar:
# tqdm update method adds the value to the progress
# bar instead of setting the value. Therefore, a delta
# needs to be calculated.
previous_cycle_frames = 0
while not self.progress_bar_exit_signal:
try:
total_frames_upscaled = len([f for f in os.listdir(self.upscaled_frames) if f[-4:] == '.png'])
delta = total_frames_upscaled - previous_cycle_frames
previous_cycle_frames = total_frames_upscaled
# if upscaling is finished
if total_frames_upscaled >= total_frames:
return
# adds the detla into the progress bar
progress_bar.update(delta)
except FileNotFoundError:
pass
time.sleep(1)
def _upscale_frames(self, w2):
""" Upscale video frames with waifu2x-caffe
This function upscales all the frames extracted
by ffmpeg using the waifu2x-caffe binary.
Arguments:
w2 {Waifu2x Object} -- initialized waifu2x object
"""
# progress bar thread exit signal
self.progress_bar_exit_signal = False
# create a container for exceptions in threads
# if this thread is not empty, then an exception has occured
self.upscaler_exceptions = []
# it's easier to do multi-threading with waifu2x_converter
# the number of threads can be passed directly to waifu2x_converter
if self.waifu2x_driver == 'waifu2x_converter':
progress_bar = threading.Thread(target=self._progress_bar, args=([self.extracted_frames],))
progress_bar.start()
w2.upscale(self.extracted_frames, self.upscaled_frames, self.scale_ratio, self.threads, self.image_format, self.upscaler_exceptions)
for image in [f for f in os.listdir(self.upscaled_frames) if os.path.isfile(os.path.join(self.upscaled_frames, f))]:
renamed = re.sub('_\[.*-.*\]\[x(\d+(\.\d+)?)\]\.{}'.format(self.image_format), '.{}'.format(self.image_format), image)
shutil.move('{}\\{}'.format(self.upscaled_frames, image), '{}\\{}'.format(self.upscaled_frames, renamed))
self.progress_bar_exit_signal = True
progress_bar.join()
return
# create a container for all upscaler threads
upscaler_threads = []
# list all images in the extracted frames
frames = [os.path.join(self.extracted_frames, f) for f in os.listdir(self.extracted_frames) if os.path.isfile(os.path.join(self.extracted_frames, f))]
# if we have less images than threads,
# create only the threads necessary
if len(frames) < self.threads:
self.threads = len(frames)
# create a folder for each thread and append folder
# name into a list
thread_pool = []
thread_folders = []
for thread_id in range(self.threads):
thread_folder = '{}\\{}'.format(self.extracted_frames, str(thread_id))
thread_folders.append(thread_folder)
# delete old folders and create new folders
if os.path.isdir(thread_folder):
shutil.rmtree(thread_folder)
os.mkdir(thread_folder)
# append folder path into list
thread_pool.append((thread_folder, thread_id))
# evenly distribute images into each folder
# until there is none left in the folder
for image in frames:
# move image
shutil.move(image, thread_pool[0][0])
# rotate list
thread_pool = thread_pool[-1:] + thread_pool[:-1]
# create threads and start them
for thread_info in thread_pool:
# create thread
if self.scale_ratio:
thread = threading.Thread(target=w2.upscale, args=(thread_info[0], self.upscaled_frames, self.scale_ratio, False, False, self.image_format, self.upscaler_exceptions))
else:
thread = threading.Thread(target=w2.upscale, args=(thread_info[0], self.upscaled_frames, False, self.scale_width, self.scale_height, self.image_format, self.upscaler_exceptions))
thread.name = thread_info[1]
# add threads into the pool
upscaler_threads.append(thread)
# start progress bar in a different thread
progress_bar = threading.Thread(target=self._progress_bar, args=(thread_folders,))
progress_bar.start()
# create the clearer and start it
Avalon.debug_info('Starting upscaled image cleaner')
image_cleaner = ImageCleaner(self.extracted_frames, self.upscaled_frames, len(upscaler_threads))
image_cleaner.start()
# start all threads
for thread in upscaler_threads:
thread.start()
# wait for threads to finish
for thread in upscaler_threads:
thread.join()
# upscaling done, kill the clearer
Avalon.debug_info('Killing upscaled image cleaner')
image_cleaner.stop()
self.progress_bar_exit_signal = True
if len(self.upscaler_exceptions) != 0:
raise(self.upscaler_exceptions[0])
def run(self):
"""Main controller for Video2X
This function controls the flow of video conversion
and handles all necessary functions.
"""
# parse arguments for waifu2x
# check argument sanity
self._check_arguments()
# convert paths to absolute paths
self.input_video = os.path.abspath(self.input_video)
self.output_video = os.path.abspath(self.output_video)
# initialize objects for ffmpeg and waifu2x-caffe
fm = Ffmpeg(self.ffmpeg_settings, self.image_format)
# initialize waifu2x driver
if self.waifu2x_driver == 'waifu2x_caffe':
w2 = Waifu2xCaffe(self.waifu2x_settings, self.method, self.model_dir)
elif self.waifu2x_driver == 'waifu2x_converter':
w2 = Waifu2xConverter(self.waifu2x_settings, self.model_dir)
else:
raise Exception('Unrecognized waifu2x driver: {}'.format(self.waifu2x_driver))
# extract frames from video
fm.extract_frames(self.input_video, self.extracted_frames)
Avalon.info('Reading video information')
video_info = fm.get_video_info(self.input_video)
# analyze original video with ffprobe and retrieve framerate
# width, height = info['streams'][0]['width'], info['streams'][0]['height']
# find index of video stream
video_stream_index = None
for stream in video_info['streams']:
if stream['codec_type'] == 'video':
video_stream_index = stream['index']
break
# exit if no video stream found
if video_stream_index is None:
Avalon.error('Aborting: No video stream found')
exit(1)
# get average frame rate of video stream
framerate = float(Fraction(video_info['streams'][video_stream_index]['avg_frame_rate']))
Avalon.info('Framerate: {}'.format(framerate))
# width/height will be coded width/height x upscale factor
if self.scale_ratio:
coded_width = video_info['streams'][video_stream_index]['coded_width']
coded_height = video_info['streams'][video_stream_index]['coded_height']
self.scale_width = int(self.scale_ratio * coded_width)
self.scale_height = int(self.scale_ratio * coded_height)
# upscale images one by one using waifu2x
Avalon.info('Starting to upscale extracted images')
self._upscale_frames(w2)
Avalon.info('Upscaling completed')
# frames to Video
Avalon.info('Converting extracted frames into video')
# use user defined output size
fm.convert_video(framerate, '{}x{}'.format(self.scale_width, self.scale_height), self.upscaled_frames)
Avalon.info('Conversion completed')
# migrate audio tracks and subtitles
Avalon.info('Migrating audio tracks and subtitles to upscaled video')
fm.migrate_audio_tracks_subtitles(self.input_video, self.output_video, self.upscaled_frames)

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@@ -1,307 +0,0 @@
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
__ __ _ _ ___ __ __
\ \ / / (_) | | |__ \ \ \ / /
\ \ / / _ __| | ___ ___ ) | \ V /
\ \/ / | | / _` | / _ \ / _ \ / / > <
\ / | | | (_| | | __/ | (_) | / /_ / . \
\/ |_| \__,_| \___| \___/ |____| /_/ \_\
Name: Video2X Controller
Author: K4YT3X
Date Created: Feb 24, 2018
Last Modified: March 30, 2019
Licensed under the GNU General Public License Version 3 (GNU GPL v3),
available at: https://www.gnu.org/licenses/gpl-3.0.txt
(C) 2018-2019 K4YT3X
Video2X is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
Video2X is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see <https://www.gnu.org/licenses/>.
Description: Video2X is an automation software based on waifu2x image
enlarging engine. It extracts frames from a video, enlarge it by a
number of times without losing any details or quality, keeping lines
smooth and edges sharp.
"""
from avalon_framework import Avalon
from upscaler import Upscaler
import argparse
import GPUtil
import json
import os
import psutil
import shutil
import sys
import tempfile
import time
import traceback
VERSION = '2.7.0'
# each thread might take up to 2.5 GB during initialization.
# (system memory, not to be confused with GPU memory)
SYS_MEM_PER_THREAD = 2.5
GPU_MEM_PER_THREAD = 3.5
def process_arguments():
"""Processes CLI arguments
This function parses all arguments
This allows users to customize options
for the output video.
"""
parser = argparse.ArgumentParser(formatter_class=argparse.ArgumentDefaultsHelpFormatter)
# video options
file_options = parser.add_argument_group('File Options')
file_options.add_argument('-i', '--input', help='Source video file/directory', action='store', required=True)
file_options.add_argument('-o', '--output', help='Output video file/directory', action='store', required=True)
# upscaler options
upscaler_options = parser.add_argument_group('Upscaler Options')
upscaler_options.add_argument('-m', '--method', help='Upscaling method', action='store', default='gpu', choices=['cpu', 'gpu', 'cudnn'], required=True)
upscaler_options.add_argument('-d', '--driver', help='Waifu2x driver', action='store', default='waifu2x_caffe', choices=['waifu2x_caffe', 'waifu2x_converter'])
upscaler_options.add_argument('-y', '--model_dir', help='Folder containing model JSON files', action='store')
upscaler_options.add_argument('-t', '--threads', help='Number of threads to use for upscaling', action='store', type=int, default=5)
upscaler_options.add_argument('-c', '--config', help='Video2X config file location', action='store', default='{}\\video2x.json'.format(os.path.dirname(os.path.abspath(sys.argv[0]))))
upscaler_options.add_argument('-b', '--batch', help='Enable batch mode (select all default values to questions)', action='store_true')
# scaling options
scaling_options = parser.add_argument_group('Scaling Options')
scaling_options.add_argument('--width', help='Output video width', action='store', type=int)
scaling_options.add_argument('--height', help='Output video height', action='store', type=int)
scaling_options.add_argument('-r', '--ratio', help='Scaling ratio', action='store', type=float)
# parse arguments
return parser.parse_args()
def print_logo():
print('__ __ _ _ ___ __ __')
print('\\ \\ / / (_) | | |__ \\ \\ \\ / /')
print(' \\ \\ / / _ __| | ___ ___ ) | \\ V /')
print(' \\ \\/ / | | / _` | / _ \\ / _ \\ / / > <')
print(' \\ / | | | (_| | | __/ | (_) | / /_ / . \\')
print(' \\/ |_| \\__,_| \\___| \\___/ |____| /_/ \\_\\')
print('\n Video2X Video Enlarger')
spaces = ((44 - len("Version {}".format(VERSION))) // 2) * " "
print('{}\n{} Version {}\n{}'.format(Avalon.FM.BD, spaces, VERSION, Avalon.FM.RST))
def check_memory():
""" Check usable system memory
Warn the user if insufficient memory is available for
the number of threads that the user have chosen.
"""
memory_status = []
# get system available memory
system_memory_available = psutil.virtual_memory().available / (1024 ** 3)
memory_status.append(('system', system_memory_available))
# check if Nvidia-smi is available
# GPUtil requires nvidia-smi.exe to interact with GPU
if args.method == 'gpu' or args.method == 'cudnn':
if not os.path.isfile('C:\\Program Files\\NVIDIA Corporation\\NVSMI\\nvidia-smi.exe'):
# Nvidia System Management Interface not available
Avalon.warning('Nvidia-smi not available, skipping available memory check')
Avalon.warning('If you experience error \"cudaSuccess out of memory\", try reducing number of threads you\'re using')
else:
try:
# "0" is GPU ID. Both waifu2x drivers use the first GPU available, therefore only 0 makes sense
gpu_memory_available = (GPUtil.getGPUs()[0].memoryTotal - GPUtil.getGPUs()[0].memoryUsed) / 1024
memory_status.append(('GPU', gpu_memory_available))
except ValueError:
pass
# go though each checkable memory type and check availability
for memory_type, memory_available in memory_status:
if memory_type == 'system':
mem_per_thread = SYS_MEM_PER_THREAD
else:
mem_per_thread = GPU_MEM_PER_THREAD
# if user doesn't even have enough memory to run even one thread
if memory_available < mem_per_thread:
Avalon.warning('You might have insufficient amount of {} memory available to run this program ({} GB)'.format(memory_type, memory_available))
Avalon.warning('Proceed with caution')
if args.threads > 1:
if Avalon.ask('Reduce number of threads to avoid crashing?', default=True, batch=args.batch):
args.threads = 1
# if memory available is less than needed, warn the user
elif memory_available < (mem_per_thread * args.threads):
Avalon.warning('Each waifu2x-caffe thread will require up to 2.5 GB of system memory')
Avalon.warning('You demanded {} threads to be created, but you only have {} GB {} memory available'.format(args.threads, round(memory_available, 4), memory_type))
Avalon.warning('{} GB of {} memory is recommended for {} threads'.format(mem_per_thread * args.threads, memory_type, args.threads))
Avalon.warning('With your current amount of {} memory available, {} threads is recommended'.format(memory_type, int(memory_available // mem_per_thread)))
# ask the user if he / she wants to change to the recommended
# number of threads
if Avalon.ask('Change to the recommended value?', default=True, batch=args.batch):
args.threads = int(memory_available // mem_per_thread)
else:
Avalon.warning('Proceed with caution')
def read_config(config_file):
""" Reads configuration file
Returns a dictionary read by JSON.
"""
with open(config_file, 'r') as raw_config:
config = json.load(raw_config)
return config
# /////////////////// Execution /////////////////// #
# this is not a library
if __name__ != '__main__':
Avalon.error('This file cannot be imported')
raise ImportError('{} cannot be imported'.format(__file__))
print_logo()
# process CLI arguments
args = process_arguments()
# arguments sanity check
if args.driver == 'waifu2x_converter' and args.width and args.height:
Avalon.error('Waifu2x Converter CPP accepts only scaling ratio')
exit(1)
if (args.width or args.height) and args.ratio:
Avalon.error('You can only specify either scaling ratio or output width and height')
exit(1)
if (args.width and not args.height) or (not args.width and args.height):
Avalon.error('You must specify both width and height')
exit(1)
# check available memory
check_memory()
# read configurations from JSON
config = read_config(args.config)
# load waifu2x configuration
if args.driver == 'waifu2x_caffe':
waifu2x_settings = config['waifu2x_caffe']
if not os.path.isfile(waifu2x_settings['waifu2x_caffe_path']):
Avalon.error('Specified waifu2x-caffe directory doesn\'t exist')
Avalon.error('Please check the configuration file settings')
raise FileNotFoundError(waifu2x_settings['waifu2x_caffe_path'])
elif args.driver == 'waifu2x_converter':
waifu2x_settings = config['waifu2x_converter']
if not os.path.isdir(waifu2x_settings['waifu2x_converter_path']):
Avalon.error('Specified waifu2x-conver-cpp directory doesn\'t exist')
Avalon.error('Please check the configuration file settings')
raise FileNotFoundError(waifu2x_settings['waifu2x_converter_path'])
# check if waifu2x path is valid
# read FFMPEG configuration
ffmpeg_settings = config['ffmpeg']
# load video2x settings
video2x_cache_folder = config['video2x']['video2x_cache_folder']
image_format = config['video2x']['image_format'].lower()
preserve_frames = config['video2x']['preserve_frames']
# create temp directories if they don't exist
if not video2x_cache_folder:
video2x_cache_folder = '{}\\video2x'.format(tempfile.gettempdir())
if video2x_cache_folder and not os.path.isdir(video2x_cache_folder):
if not os.path.isfile(video2x_cache_folder) and not os.path.islink(video2x_cache_folder):
Avalon.warning('Specified cache folder/directory {} does not exist'.format(video2x_cache_folder))
if Avalon.ask('Create folder/directory?', default=True, batch=args.batch):
if os.mkdir(video2x_cache_folder) is None:
Avalon.info('{} created'.format(video2x_cache_folder))
else:
Avalon.error('Unable to create {}'.format(video2x_cache_folder))
Avalon.error('Aborting...')
exit(1)
else:
Avalon.error('Specified cache folder/directory is a file/link')
Avalon.error('Unable to continue, exiting...')
exit(1)
# start execution
try:
# start timer
begin_time = time.time()
if os.path.isfile(args.input):
""" Upscale single video file """
Avalon.info('Upscaling single video file: {}'.format(args.input))
upscaler = Upscaler(input_video=args.input, output_video=args.output, method=args.method, waifu2x_settings=waifu2x_settings, ffmpeg_settings=ffmpeg_settings)
# set optional options
upscaler.waifu2x_driver = args.driver
upscaler.scale_width = args.width
upscaler.scale_height = args.height
upscaler.scale_ratio = args.ratio
upscaler.model_dir = args.model_dir
upscaler.threads = args.threads
upscaler.video2x_cache_folder = video2x_cache_folder
upscaler.image_format = image_format
upscaler.preserve_frames = preserve_frames
# run upscaler-
upscaler.run()
upscaler.cleanup()
elif os.path.isdir(args.input):
""" Upscale videos in a folder/directory """
Avalon.info('Upscaling videos in folder/directory: {}'.format(args.input))
for input_video in [f for f in os.listdir(args.input) if os.path.isfile(os.path.join(args.input, f))]:
output_video = '{}\\{}'.format(args.output, input_video)
upscaler = Upscaler(input_video=os.path.join(args.input, input_video), output_video=output_video, method=args.method, waifu2x_settings=waifu2x_settings, ffmpeg_settings=ffmpeg_settings)
# set optional options
upscaler.waifu2x_driver = args.driver
upscaler.scale_width = args.width
upscaler.scale_height = args.height
upscaler.scale_ratio = args.ratio
upscaler.model_dir = args.model_dir
upscaler.threads = args.threads
upscaler.video2x_cache_folder = video2x_cache_folder
upscaler.image_format = image_format
upscaler.preserve_frames = preserve_frames
# run upscaler
upscaler.run()
upscaler.cleanup()
else:
Avalon.error('Input path is neither a file nor a folder/directory')
raise FileNotFoundError('{} is neither file nor folder/directory'.format(args.input))
Avalon.info('Program completed, taking {} seconds'.format(round((time.time() - begin_time), 5)))
except Exception:
Avalon.error('An exception has occurred')
traceback.print_exc()
Avalon.warning('If you experience error \"cudaSuccess out of memory\", try reducing number of threads you\'re using')
finally:
# remove Video2X Cache folder
try:
if not preserve_frames:
shutil.rmtree(video2x_cache_folder)
except FileNotFoundError:
pass

View File

@@ -1,223 +0,0 @@
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Name: Video2X Setup Script
Author: K4YT3X
Date Created: November 28, 2018
Last Modified: March 26, 2019
Licensed under the GNU General Public License Version 3 (GNU GPL v3),
available at: https://www.gnu.org/licenses/gpl-3.0.txt
(C) 2018-2019 K4YT3X
Description: This script helps installing all dependencies of video2x
and generates a configuration for it.
Installation Details:
- ffmpeg: %LOCALAPPDATA%\\video2x\\ffmpeg
- waifu2x-caffe: %LOCALAPPDATA%\\video2x\\waifu2x-caffe
"""
import argparse
import json
import os
import subprocess
import tempfile
import traceback
import zipfile
# Requests doesn't come with windows, therefore
# it will be installed as a dependency and imported
# later in the script.
# import requests
VERSION = '1.2.0'
def process_arguments():
"""Processes CLI arguments
"""
parser = argparse.ArgumentParser(formatter_class=argparse.ArgumentDefaultsHelpFormatter)
# video options
general_options = parser.add_argument_group('General Options')
general_options.add_argument('-d', '--driver', help='driver to download and configure', action='store', choices=['all', 'waifu2x_caffe', 'waifu2x_converter'], default='all')
# parse arguments
return parser.parse_args()
class Video2xSetup:
""" Install dependencies for video2x video enlarger
This library is meant to be executed as a stand-alone
script. All files will be installed under %LOCALAPPDATA%\\video2x.
"""
def __init__(self, driver):
self.driver = driver
self.trash = []
def run(self):
print('\nInstalling Python libraries')
self._install_python_requirements()
print('\nInstalling FFMPEG')
self._install_ffmpeg()
if self.driver == 'all':
self._install_waifu2x_caffe()
self._install_waifu2x_converter_cpp()
elif self.driver == 'waifu2x_caffe':
self._install_waifu2x_caffe()
elif self.driver == 'waifu2x_converter':
self._install_waifu2x_converter_cpp()
print('\nGenerating Video2X configuration file')
self._generate_config()
print('\nCleaning up temporary files')
self._cleanup()
def _install_python_requirements(self):
""" Read requirements.txt and return its content
"""
with open('requirements.txt', 'r') as req:
for line in req:
package = line.split('==')[0]
pip_install(package)
def _cleanup(self):
""" Cleanup all the temp files downloaded
"""
for file in self.trash:
try:
print('Deleting: {}'.format(file))
os.remove(file)
except FileNotFoundError:
pass
def _install_ffmpeg(self):
""" Install FFMPEG
"""
latest_release = 'https://ffmpeg.zeranoe.com/builds/win64/static/ffmpeg-latest-win64-static.zip'
ffmpeg_zip = download(latest_release, tempfile.gettempdir())
self.trash.append(ffmpeg_zip)
with zipfile.ZipFile(ffmpeg_zip) as zipf:
zipf.extractall('{}\\video2x'.format(os.getenv('localappdata')))
def _install_waifu2x_caffe(self):
""" Install waifu2x_caffe
"""
print('\nInstalling waifu2x-caffe')
import requests
# Get latest release of waifu2x-caffe via GitHub API
latest_release = json.loads(requests.get('https://api.github.com/repos/lltcggie/waifu2x-caffe/releases/latest').content)
for a in latest_release['assets']:
if 'waifu2x-caffe.zip' in a['browser_download_url']:
waifu2x_caffe_zip = download(a['browser_download_url'], tempfile.gettempdir())
self.trash.append(waifu2x_caffe_zip)
with zipfile.ZipFile(waifu2x_caffe_zip) as zipf:
zipf.extractall('{}\\video2x'.format(os.getenv('localappdata')))
def _install_waifu2x_converter_cpp(self):
""" Install waifu2x_caffe
"""
print('\nInstalling waifu2x-converter-cpp')
import re
import requests
# Get latest release of waifu2x-caffe via GitHub API
latest_release = json.loads(requests.get('https://api.github.com/repos/DeadSix27/waifu2x-converter-cpp/releases/latest').content)
for a in latest_release['assets']:
if re.search(r'waifu2x-DeadSix27-win64_v[0-9]*\.zip', a['browser_download_url']):
waifu2x_converter_cpp_zip = download(a['browser_download_url'], tempfile.gettempdir())
self.trash.append(waifu2x_converter_cpp_zip)
with zipfile.ZipFile(waifu2x_converter_cpp_zip) as zipf:
zipf.extractall('{}\\video2x\\waifu2x-converter-cpp'.format(os.getenv('localappdata')))
def _generate_config(self):
""" Generate video2x config
"""
# Open current video2x.json file as template
with open('video2x.json', 'r') as template:
template_dict = json.load(template)
template.close()
# configure only the specified drivers
if self.driver == 'all':
template_dict['waifu2x_caffe']['waifu2x_caffe_path'] = '{}\\video2x\\waifu2x-caffe\\waifu2x-caffe-cui.exe'.format(os.getenv('localappdata'))
template_dict['waifu2x_converter']['waifu2x_converter_path'] = '{}\\video2x\\waifu2x-converter-cpp'.format(os.getenv('localappdata'))
elif self.driver == 'waifu2x_caffe':
template_dict['waifu2x_caffe']['waifu2x_caffe_path'] = '{}\\video2x\\waifu2x-caffe\\waifu2x-caffe-cui.exe'.format(os.getenv('localappdata'))
elif self.driver == 'waifu2x_converter':
template_dict['waifu2x_converter']['waifu2x_converter_path'] = '{}\\video2x\\waifu2x-converter-cpp'.format(os.getenv('localappdata'))
template_dict['ffmpeg']['ffmpeg_path'] = '{}\\video2x\\ffmpeg-latest-win64-static\\bin'.format(os.getenv('localappdata'))
template_dict['ffmpeg']['ffmpeg_hwaccel'] = 'auto'
template_dict['ffmpeg']['extra_arguments'] = []
template_dict['video2x']['video2x_cache_folder'] = False
template_dict['video2x']['preserve_frames'] = False
# Write configuration into file
with open('video2x.json', 'w') as config:
json.dump(template_dict, config, indent=2)
config.close()
def download(url, save_path, chunk_size=4096):
""" Download file to local with requests library
"""
from tqdm import tqdm
import requests
output_file = '{}\\{}'.format(save_path, url.split('/')[-1])
print('Downloading: {}'.format(url))
print('Chunk size: {}'.format(chunk_size))
print('Saving to: {}'.format(output_file))
stream = requests.get(url, stream=True)
total_size = int(stream.headers['content-length'])
# Write content into file
with open(output_file, 'wb') as output:
with tqdm(total=total_size, ascii=True) as progress_bar:
for chunk in stream.iter_content(chunk_size=chunk_size):
if chunk:
output.write(chunk)
progress_bar.update(len(chunk))
return output_file
def pip_install(package):
""" Install python package via python pip module
pip.main() is not available after pip 9.0.1, thus
pip module is not used in this case.
"""
return subprocess.run(['python', '-m', 'pip', 'install', '-U', package]).returncode
if __name__ == "__main__":
try:
args = process_arguments()
print('Video2x Setup Script')
print('Version: {}'.format(VERSION))
setup = Video2xSetup(args.driver)
setup.run()
print('\n Script finished successfully')
except Exception:
traceback.print_exc()
print('An error has occurred')
print('Video2X Automatic Setup has failed')
exit(1)

92
src/anime4k.py Executable file
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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Name: Anime4K Driver
Author: K4YT3X
Date Created: August 15, 2019
Last Modified: November 15, 2019
Description: This class is a high-level wrapper
for Anime4k.
"""
# built-in imports
import subprocess
import threading
# third-party imports
from avalon_framework import Avalon
class Anime4k:
"""This class communicates with Anime4K engine
An object will be created for this class, containing information
about the binary address and the processing method. When being called
by the main program, other detailed information will be passed to
the upscale function.
"""
def __init__(self, driver_settings):
self.driver_settings = driver_settings
self.print_lock = threading.Lock()
def upscale(self, input_directory, output_directory, scale_ratio, upscaler_exceptions, push_strength=None, push_grad_strength=None):
""" Anime4K wrapper
Arguments:
file_in {string} -- input file path
file_out {string} -- output file path
Keyword Arguments:
scale {int} -- scale ratio (default: {None})
push_strength {int} -- residual push strength (default: {None})
push_grad_strength {int} -- residual gradient push strength (default: {None})
Returns:
subprocess.Popen.returncode -- command line return value of execution
"""
try:
# return value is the sum of all execution return codes
return_value = 0
# get a list lof all image files in input_directory
extracted_frame_files = [f for f in input_directory.iterdir() if str(f).lower().endswith('.png') or str(f).lower().endswith('.jpg')]
# upscale each image in input_directory
for image in extracted_frame_files:
execute = [
self.driver_settings['java_path'],
'-jar',
self.driver_settings['path'],
str(image.absolute()),
str(output_directory / image.name),
str(scale_ratio)
]
# optional arguments
kwargs = [
'push_strength',
'push_grad_strength'
]
# if optional argument specified, append value to execution list
for arg in kwargs:
if locals()[arg] is not None:
execute.extend([locals([arg])])
self.print_lock.acquire()
Avalon.debug_info(f'Executing: {execute}', )
self.print_lock.release()
return_value += subprocess.run(execute, check=True).returncode
# print thread exiting message
self.print_lock.acquire()
Avalon.debug_info(f'[upscaler] Thread {threading.current_thread().name} exiting')
self.print_lock.release()
# return command execution return code
return return_value
except Exception as e:
upscaler_exceptions.append(e)

28
src/exceptions.py Executable file
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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Name: Video2X Exceptions
Dev: K4YT3X
Date Created: December 13, 2018
Last Modified: July 27, 2019
"""
class ArgumentError(Exception):
def __init__(self, message):
super().__init__(message)
class StreamNotFoundError(Exception):
def __init__(self, message):
super().__init__(message)
class UnrecognizedDriverError(Exception):
def __init__(self, message):
super().__init__(message)
class UnsupportedPixelError(Exception):
def __init__(self, message):
super().__init__(message)

287
src/ffmpeg.py Executable file
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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Name: Video2X FFmpeg Controller
Author: K4YT3X
Date Created: Feb 24, 2018
Last Modified: November 15, 2019
Description: This class handles all FFmpeg related operations.
"""
# built-in imports
import json
import pathlib
import subprocess
# third-party imports
from avalon_framework import Avalon
class Ffmpeg:
"""This class communicates with FFmpeg
This class deals with FFmpeg. It handles extracting
frames, stripping audio, converting images into videos
and inserting audio tracks to videos.
"""
def __init__(self, ffmpeg_settings, image_format):
self.ffmpeg_settings = ffmpeg_settings
self.ffmpeg_path = pathlib.Path(self.ffmpeg_settings['ffmpeg_path'])
self.ffmpeg_binary = self.ffmpeg_path / 'ffmpeg'
self.ffmpeg_probe_binary = self.ffmpeg_path / 'ffprobe'
self.image_format = image_format
self.pixel_format = None
def get_pixel_formats(self):
""" Get a dictionary of supported pixel formats
List all supported pixel formats and their
corresponding bit depth.
Returns:
dictionary -- JSON dict of all pixel formats to bit depth
"""
execute = [
self.ffmpeg_probe_binary,
'-v',
'quiet',
'-pix_fmts'
]
# turn elements into str
execute = [str(e) for e in execute]
Avalon.debug_info(f'Executing: {" ".join(execute)}')
# initialize dictionary to store pixel formats
pixel_formats = {}
# record all pixel formats into dictionary
for line in subprocess.run(execute, check=True, stdout=subprocess.PIPE).stdout.decode().split('\n'):
try:
pixel_formats[' '.join(line.split()).split()[1]] = int(' '.join(line.split()).split()[3])
except (IndexError, ValueError):
pass
# print pixel formats for debugging
Avalon.debug_info(str(pixel_formats))
return pixel_formats
def get_video_info(self, input_video):
""" Gets input video information
This method reads input video information
using ffprobe in dictionary
Arguments:
input_video {string} -- input video file path
Returns:
dictionary -- JSON text of input video information
"""
# this execution command needs to be hard-coded
# since video2x only strictly recignizes this one format
execute = [
self.ffmpeg_probe_binary,
'-v',
'quiet',
'-print_format',
'json',
'-show_format',
'-show_streams',
'-i',
input_video
]
# turn elements into str
execute = [str(e) for e in execute]
Avalon.debug_info(f'Executing: {" ".join(execute)}')
json_str = subprocess.run(execute, check=True, stdout=subprocess.PIPE).stdout
return json.loads(json_str.decode('utf-8'))
def extract_frames(self, input_video, extracted_frames):
"""Extract every frame from original videos
This method extracts every frame from input video using FFmpeg
Arguments:
input_video {string} -- input video path
extracted_frames {string} -- video output directory
"""
execute = [
self.ffmpeg_binary
]
execute.extend(self._read_configuration(phase='video_to_frames'))
execute.extend([
'-i',
input_video
])
execute.extend(self._read_configuration(phase='video_to_frames', section='output_options'))
execute.extend([
extracted_frames / f'extracted_%0d.{self.image_format}'
])
self._execute(execute)
def convert_video(self, framerate, resolution, upscaled_frames):
"""Converts images into videos
This method converts a set of images into a video
Arguments:
framerate {float} -- target video framerate
resolution {string} -- target video resolution
upscaled_frames {string} -- source images directory
"""
execute = [
self.ffmpeg_binary,
'-r',
str(framerate),
'-s',
resolution
]
# read other options
execute.extend(self._read_configuration(phase='frames_to_video'))
# read FFmpeg input options
execute.extend(self._read_configuration(phase='frames_to_video', section='input_options'))
# WORKAROUND FOR WAIFU2X-NCNN-VULKAN
# Dev: SAT3LL
# rename all .png.png suffixes to .png
import re
regex = re.compile(r'\.png\.png$', re.IGNORECASE)
for frame_name in upscaled_frames.iterdir():
(upscaled_frames / frame_name).rename(upscaled_frames / regex.sub('.png', str(frame_name)))
# END WORKAROUND
# append input frames path into command
execute.extend([
'-i',
upscaled_frames / f'extracted_%d.{self.image_format}'
])
# read FFmpeg output options
execute.extend(self._read_configuration(phase='frames_to_video', section='output_options'))
# specify output file location
execute.extend([
upscaled_frames / 'no_audio.mp4'
])
self._execute(execute)
def migrate_audio_tracks_subtitles(self, input_video, output_video, upscaled_frames):
""" Migrates audio tracks and subtitles from input video to output video
Arguments:
input_video {string} -- input video file path
output_video {string} -- output video file path
upscaled_frames {string} -- directory containing upscaled frames
"""
execute = [
self.ffmpeg_binary
]
execute.extend(self._read_configuration(phase='migrating_tracks'))
execute.extend([
'-i',
upscaled_frames / 'no_audio.mp4',
'-i',
input_video
])
execute.extend(self._read_configuration(phase='migrating_tracks', section='output_options'))
execute.extend([
output_video
])
self._execute(execute)
def _read_configuration(self, phase, section=None):
""" read configuration from JSON
Read the configurations (arguments) from the JSON
configuration file and append them to the end of the
FFmpeg command.
Arguments:
execute {list} -- list of arguments to be executed
phase {str} -- phase of operation
"""
configuration = []
# if section is specified, read configurations or keys
# from only that section
if section:
source = self.ffmpeg_settings[phase][section].keys()
# if pixel format is not specified, use the source pixel format
try:
if self.ffmpeg_settings[phase][section].get('-pix_fmt') is None:
self.ffmpeg_settings[phase][section]['-pix_fmt'] = self.pixel_format
except KeyError:
pass
else:
source = self.ffmpeg_settings[phase].keys()
for key in source:
if section:
value = self.ffmpeg_settings[phase][section][key]
else:
value = self.ffmpeg_settings[phase][key]
# null or None means that leave this option out (keep default)
if value is None or value is False or isinstance(value, dict):
continue
# if the value is a list, append the same argument and all values
elif isinstance(value, list):
for subvalue in value:
configuration.append(key)
if value is not True:
configuration.append(str(subvalue))
# otherwise the value is typical
else:
configuration.append(key)
# true means key is an option
if value is True:
continue
configuration.append(str(value))
return configuration
def _execute(self, execute):
""" execute command
Arguments:
execute {list} -- list of arguments to be executed
Returns:
int -- execution return code
"""
# turn all list elements into string to avoid errors
execute = [str(e) for e in execute]
Avalon.debug_info(f'Executing: {execute}')
return subprocess.run(execute, check=True).returncode

36
bin/image_cleaner.py → src/image_cleaner.py Normal file → Executable file
View File

@@ -5,13 +5,13 @@ Name: Video2X Image Cleaner
Author: BrianPetkovsek
Author: K4YT3X
Date Created: March 24, 2019
Last Modified: March 24, 2019
Last Modified: July 27, 2019
Description: This class is to remove the extracted frames
that have already been upscaled.
"""
import os
# built-in imports
import threading
import time
@@ -27,11 +27,11 @@ class ImageCleaner(threading.Thread):
threading.Thread
"""
def __init__(self, input_folder, output_folder, num_threads):
def __init__(self, input_directory, output_directory, threads):
threading.Thread.__init__(self)
self.input_folder = input_folder
self.output_folder = output_folder
self.num_threads = num_threads
self.input_directory = input_directory
self.output_directory = output_directory
self.threads = threads
self.running = False
def run(self):
@@ -53,24 +53,24 @@ class ImageCleaner(threading.Thread):
""" remove frames that have already been upscaled
This method compares the files in the extracted frames
folder with the upscaled frames folder, and removes
directory with the upscaled frames directory, and removes
the frames that has already been upscaled.
"""
# list all images in the extracted frames
output_frames = [f for f in os.listdir(self.output_folder) if os.path.isfile(os.path.join(self.output_folder, f))]
output_frames = [f for f in self.output_directory.iterdir() if f.is_file()]
# compare and remove frames downscaled images that finished being upscaled
# within each thread's extracted frames folder
for i in range(self.num_threads):
dir_path = os.path.join(self.input_folder, str(i))
# within each thread's extracted frames directory
for thread_id in range(self.threads):
dir_path = self.input_directory / str(thread_id)
# for each file within all the folders
for f in os.listdir(dir_path):
file_path = os.path.join(dir_path, f)
# for each file within all the directories
for file in dir_path.iterdir():
file_path = dir_path / file
# if file also exists in the output folder, then the file
# if file also exists in the output directory, then the file
# has already been processed, thus not needed anymore
if os.path.isfile(file_path) and f in output_frames:
os.remove(file_path)
output_frames.remove(f)
if file_path.is_file() and file in output_frames:
file_path.unlink(file)
output_frames.remove(file)

View File

@@ -2,5 +2,6 @@ avalon_framework
colorama
GPUtil
psutil
pyyaml
requests
tqdm

369
src/upscaler.py Executable file
View File

@@ -0,0 +1,369 @@
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Name: Video2X Upscaler
Author: K4YT3X
Date Created: December 10, 2018
Last Modified: December 11, 2019
Dev: SAT3LL
Licensed under the GNU General Public License Version 3 (GNU GPL v3),
available at: https://www.gnu.org/licenses/gpl-3.0.txt
(C) 2018-2019 K4YT3X
"""
# local imports
from anime4k import Anime4k
from exceptions import *
from ffmpeg import Ffmpeg
from image_cleaner import ImageCleaner
from waifu2x_caffe import Waifu2xCaffe
from waifu2x_converter import Waifu2xConverter
from waifu2x_ncnn_vulkan import Waifu2xNcnnVulkan
# built-in imports
from fractions import Fraction
import contextlib
import copy
import pathlib
import re
import shutil
import tempfile
import threading
import time
import traceback
# third-party imports
from avalon_framework import Avalon
from tqdm import tqdm
AVAILABLE_DRIVERS = ['waifu2x_caffe', 'waifu2x_converter', 'waifu2x_ncnn_vulkan', 'anime4k']
class Upscaler:
""" An instance of this class is a upscaler that will
upscale all images in the given directory.
Raises:
Exception -- all exceptions
ArgumentError -- if argument is not valid
"""
def __init__(self, input_video, output_video, method, driver_settings, ffmpeg_settings):
# mandatory arguments
self.input_video = input_video
self.output_video = output_video
self.method = method
self.driver_settings = driver_settings
self.ffmpeg_settings = ffmpeg_settings
# optional arguments
self.waifu2x_driver = 'waifu2x_caffe'
self.scale_width = None
self.scale_height = None
self.scale_ratio = None
self.model_dir = None
self.threads = 5
self.video2x_cache_directory = pathlib.Path(tempfile.gettempdir()) / 'video2x'
self.image_format = 'png'
self.preserve_frames = False
def create_temp_directories(self):
"""create temporary directory
"""
self.extracted_frames = pathlib.Path(tempfile.mkdtemp(dir=self.video2x_cache_directory))
Avalon.debug_info(f'Extracted frames are being saved to: {self.extracted_frames}')
self.upscaled_frames = pathlib.Path(tempfile.mkdtemp(dir=self.video2x_cache_directory))
Avalon.debug_info(f'Upscaled frames are being saved to: {self.upscaled_frames}')
def cleanup_temp_directories(self):
"""delete temp directories when done
"""
if not self.preserve_frames:
for directory in [self.extracted_frames, self.upscaled_frames, self.video2x_cache_directory]:
try:
# avalon framework cannot be used if python is shutting down
# therefore, plain print is used
print(f'Cleaning up cache directory: {directory}')
shutil.rmtree(directory)
except (OSError, FileNotFoundError):
print(f'Unable to delete: {directory}')
traceback.print_exc()
def _check_arguments(self):
# check if arguments are valid / all necessary argument
# values are specified
if not self.input_video:
raise ArgumentError('You need to specify the video to process')
elif (not self.scale_width or not self.scale_height) and not self.scale_ratio:
raise ArgumentError('You must specify output video width and height or upscale factor')
elif not self.output_video:
raise ArgumentError('You need to specify the output video name')
elif not self.method:
raise ArgumentError('You need to specify the enlarging processing unit')
def _progress_bar(self, extracted_frames_directories):
""" This method prints a progress bar
This method prints a progress bar by keeping track
of the amount of frames in the input directory
and the output directory. This is originally
suggested by @ArmandBernard.
"""
# get number of extracted frames
self.total_frames = 0
for directory in extracted_frames_directories:
self.total_frames += len([f for f in directory.iterdir() if str(f)[-4:] == f'.{self.image_format}'])
with tqdm(total=self.total_frames, ascii=True, desc='Upscaling Progress') as progress_bar:
# tqdm update method adds the value to the progress
# bar instead of setting the value. Therefore, a delta
# needs to be calculated.
previous_cycle_frames = 0
while not self.progress_bar_exit_signal:
with contextlib.suppress(FileNotFoundError):
self.total_frames_upscaled = len([f for f in self.upscaled_frames.iterdir() if str(f)[-4:] == f'.{self.image_format}'])
delta = self.total_frames_upscaled - previous_cycle_frames
previous_cycle_frames = self.total_frames_upscaled
# if upscaling is finished
if self.total_frames_upscaled >= self.total_frames:
return
# adds the delta into the progress bar
progress_bar.update(delta)
time.sleep(1)
def _upscale_frames(self):
""" Upscale video frames with waifu2x-caffe
This function upscales all the frames extracted
by ffmpeg using the waifu2x-caffe binary.
Arguments:
w2 {Waifu2x Object} -- initialized waifu2x object
"""
# progress bar thread exit signal
self.progress_bar_exit_signal = False
# create a container for exceptions in threads
# if this thread is not empty, then an exception has occured
self.upscaler_exceptions = []
# initialize waifu2x driver
drivers = AVAILABLE_DRIVERS
if self.waifu2x_driver not in drivers:
raise UnrecognizedDriverError(f'Unrecognized waifu2x driver: {self.waifu2x_driver}')
# it's easier to do multi-threading with waifu2x_converter
# the number of threads can be passed directly to waifu2x_converter
if self.waifu2x_driver == 'waifu2x_converter':
w2 = Waifu2xConverter(self.driver_settings, self.model_dir)
progress_bar = threading.Thread(target=self._progress_bar, args=([self.extracted_frames],))
progress_bar.start()
w2.upscale(self.extracted_frames, self.upscaled_frames, self.scale_ratio, self.threads, self.image_format, self.upscaler_exceptions)
for image in [f for f in self.upscaled_frames.iterdir() if f.is_file()]:
renamed = re.sub(f'_\[.*-.*\]\[x(\d+(\.\d+)?)\]\.{self.image_format}', f'.{self.image_format}', str(image))
(self.upscaled_frames / image).rename(self.upscaled_frames / renamed)
self.progress_bar_exit_signal = True
progress_bar.join()
return
# drivers that are to be multi-threaded by video2x
else:
# create a container for all upscaler threads
upscaler_threads = []
# list all images in the extracted frames
frames = [(self.extracted_frames / f) for f in self.extracted_frames.iterdir() if f.is_file]
# if we have less images than threads,
# create only the threads necessary
if len(frames) < self.threads:
self.threads = len(frames)
# create a directory for each thread and append directory
# name into a list
thread_pool = []
thread_directories = []
for thread_id in range(self.threads):
thread_directory = self.extracted_frames / str(thread_id)
thread_directories.append(thread_directory)
# delete old directories and create new directories
if thread_directory.is_dir():
shutil.rmtree(thread_directory)
thread_directory.mkdir(parents=True, exist_ok=True)
# append directory path into list
thread_pool.append((thread_directory, thread_id))
# evenly distribute images into each directory
# until there is none left in the directory
for image in frames:
# move image
image.rename(thread_pool[0][0] / image.name)
# rotate list
thread_pool = thread_pool[-1:] + thread_pool[:-1]
# create threads and start them
for thread_info in thread_pool:
# create a separate w2 instance for each thread
if self.waifu2x_driver == 'waifu2x_caffe':
w2 = Waifu2xCaffe(copy.deepcopy(self.driver_settings), self.method, self.model_dir, self.bit_depth)
if self.scale_ratio:
thread = threading.Thread(target=w2.upscale,
args=(thread_info[0],
self.upscaled_frames,
self.scale_ratio,
False,
False,
self.image_format,
self.upscaler_exceptions))
else:
thread = threading.Thread(target=w2.upscale,
args=(thread_info[0],
self.upscaled_frames,
False,
self.scale_width,
self.scale_height,
self.image_format,
self.upscaler_exceptions))
# if the driver being used is waifu2x_ncnn_vulkan
elif self.waifu2x_driver == 'waifu2x_ncnn_vulkan':
w2 = Waifu2xNcnnVulkan(copy.deepcopy(self.driver_settings))
thread = threading.Thread(target=w2.upscale,
args=(thread_info[0],
self.upscaled_frames,
self.scale_ratio,
self.upscaler_exceptions))
# if the driver being used is anime4k
elif self.waifu2x_driver == 'anime4k':
w2 = Anime4k(copy.deepcopy(self.driver_settings))
thread = threading.Thread(target=w2.upscale,
args=(thread_info[0],
self.upscaled_frames,
self.scale_ratio,
self.upscaler_exceptions))
# create thread
thread.name = thread_info[1]
# add threads into the pool
upscaler_threads.append(thread)
# start progress bar in a different thread
progress_bar = threading.Thread(target=self._progress_bar, args=(thread_directories,))
progress_bar.start()
# create the clearer and start it
Avalon.debug_info('Starting upscaled image cleaner')
image_cleaner = ImageCleaner(self.extracted_frames, self.upscaled_frames, len(upscaler_threads))
image_cleaner.start()
# start all threads
for thread in upscaler_threads:
thread.start()
# wait for threads to finish
for thread in upscaler_threads:
thread.join()
# upscaling done, kill the clearer
Avalon.debug_info('Killing upscaled image cleaner')
image_cleaner.stop()
self.progress_bar_exit_signal = True
if len(self.upscaler_exceptions) != 0:
raise(self.upscaler_exceptions[0])
def run(self):
"""Main controller for Video2X
This function controls the flow of video conversion
and handles all necessary functions.
"""
# parse arguments for waifu2x
# check argument sanity
self._check_arguments()
# convert paths to absolute paths
self.input_video = self.input_video.absolute()
self.output_video = self.output_video.absolute()
# initialize objects for ffmpeg and waifu2x-caffe
fm = Ffmpeg(self.ffmpeg_settings, self.image_format)
# extract frames from video
fm.extract_frames(self.input_video, self.extracted_frames)
Avalon.info('Reading video information')
video_info = fm.get_video_info(self.input_video)
# analyze original video with ffprobe and retrieve framerate
# width, height = info['streams'][0]['width'], info['streams'][0]['height']
# find index of video stream
video_stream_index = None
for stream in video_info['streams']:
if stream['codec_type'] == 'video':
video_stream_index = stream['index']
break
# exit if no video stream found
if video_stream_index is None:
Avalon.error('Aborting: No video stream found')
raise StreamNotFoundError('no video stream found')
# get average frame rate of video stream
framerate = float(Fraction(video_info['streams'][video_stream_index]['avg_frame_rate']))
fm.pixel_format = video_info['streams'][video_stream_index]['pix_fmt']
# get a dict of all pixel formats and corresponding bit depth
pixel_formats = fm.get_pixel_formats()
try:
self.bit_depth = pixel_formats[fm.pixel_format]
except KeyError:
Avalon.error(f'Unsupported pixel format: {fm.pixel_format}')
raise UnsupportedPixelError(f'unsupported pixel format {fm.pixel_format}')
Avalon.info(f'Framerate: {framerate}')
# width/height will be coded width/height x upscale factor
if self.scale_ratio:
original_width = video_info['streams'][video_stream_index]['width']
original_height = video_info['streams'][video_stream_index]['height']
self.scale_width = int(self.scale_ratio * original_width)
self.scale_height = int(self.scale_ratio * original_height)
# upscale images one by one using waifu2x
Avalon.info('Starting to upscale extracted images')
self._upscale_frames()
Avalon.info('Upscaling completed')
# frames to Video
Avalon.info('Converting extracted frames into video')
# use user defined output size
fm.convert_video(framerate, f'{self.scale_width}x{self.scale_height}', self.upscaled_frames)
Avalon.info('Conversion completed')
# migrate audio tracks and subtitles
Avalon.info('Migrating audio tracks and subtitles to upscaled video')
fm.migrate_audio_tracks_subtitles(self.input_video, self.output_video, self.upscaled_frames)

View File

@@ -39,34 +39,63 @@
"output": null,
"input": null
},
"waifu2x_ncnn_vulkan": {
"waifu2x_ncnn_vulkan_path": "C:\\Users\\K4YT3X\\AppData\\Local\\video2x\\waifu2x-ncnn-vulkan\\waifu2x-ncnn-vulkan.exe",
"v": null,
"i": null,
"o": null,
"n": 2,
"s": 2,
"t": 400,
"m": "models-cunet",
"g": 0,
"j": "1:2:2"
},
"anime4k": {
"anime4k_path": "C:\\Users\\K4YT3X\\AppData\\Local\\video2x\\anime4k\\Anime4K.jar",
"java_path": "C:\\Program Files\\Java\\jdk-12.0.2\\bin\\java.exe"
},
"ffmpeg": {
"ffmpeg_path": "C:\\Users\\K4YT3X\\AppData\\Local\\video2x\\ffmpeg-latest-win64-static\\bin",
"video_to_frames": {
"output_options": {
"-qscale:v": null,
"-hwaccel": "auto",
"-y": true
"-pix_fmt": "rgba64be"
},
"-hwaccel": "auto",
"-y": true
},
"frames_to_video": {
"input_options": {
"-qscale:v": null,
"-qscale:a": null,
"-f": "image2",
"-f": "image2"
},
"output_options": {
"-vcodec": "libx264",
"-crf": 25,
"-pix_fmt": "yuv420p",
"-hwaccel": "auto",
"-y": true
"-crf": 17,
"-b:v": null,
"-pix_fmt": null
},
"-hwaccel": "auto",
"-y": true
},
"migrating_tracks": {
"-map": "0:v:0?",
"-map": "1?",
"output_options": {
"-map": [
"0:v:0?",
"1?",
"-1:v?"
],
"-c": "copy",
"-map": "-1:v?",
"-hwaccel": "auto",
"-y": true
"-pix_fmt": null
},
"-hwaccel": "auto",
"-y": true
}
},
"video2x": {
"video2x_cache_folder": null,
"video2x_cache_directory": null,
"image_format": "png",
"preserve_frames": false
}

446
src/video2x.py Executable file
View File

@@ -0,0 +1,446 @@
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
r"""
__ __ _ _ ___ __ __
\ \ / / (_) | | |__ \ \ \ / /
\ \ / / _ __| | ___ ___ ) | \ V /
\ \/ / | | / _` | / _ \ / _ \ / / > <
\ / | | | (_| | | __/ | (_) | / /_ / . \
\/ |_| \__,_| \___| \___/ |____| /_/ \_\
Name: Video2X Controller
Creator: K4YT3X
Date Created: Feb 24, 2018
Last Modified: January 4, 2020
Editor: BrianPetkovsek
Editor: SAT3LL
Licensed under the GNU General Public License Version 3 (GNU GPL v3),
available at: https://www.gnu.org/licenses/gpl-3.0.txt
(C) 2018 - 2020 K4YT3X
Video2X is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
Video2X is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see <https://www.gnu.org/licenses/>.
Description: Video2X is an automation software based on waifu2x image
enlarging engine. It extracts frames from a video, enlarge it by a
number of times without losing any details or quality, keeping lines
smooth and edges sharp.
"""
# local imports
from exceptions import *
from upscaler import AVAILABLE_DRIVERS
from upscaler import Upscaler
# built-in imports
import argparse
import contextlib
import pathlib
import re
import shutil
import sys
import tempfile
import time
import traceback
import yaml
# third-party imports
from avalon_framework import Avalon
import GPUtil
import psutil
VERSION = '3.0.0'
LEGAL_INFO = f'''Video2X Version: {VERSION}
Author: K4YT3X
License: GNU GPL v3
Github Page: https://github.com/k4yt3x/video2x
Contact: k4yt3x@k4yt3x.com'''
LOGO = r'''
__ __ _ _ ___ __ __
\ \ / / (_) | | |__ \ \ \ / /
\ \ / / _ __| | ___ ___ ) | \ V /
\ \/ / | | / _` | / _ \ / _ \ / / > <
\ / | | | (_| | | __/ | (_) | / /_ / . \
\/ |_| \__,_| \___| \___/ |____| /_/ \_\
'''
# each thread might take up to 2.5 GB during initialization.
# (system memory, not to be confused with GPU memory)
SYS_MEM_PER_THREAD = 2.5
GPU_MEM_PER_THREAD = 3.5
def parse_arguments():
"""Processes CLI arguments
This function parses all arguments
This allows users to customize options
for the output video.
"""
parser = argparse.ArgumentParser(formatter_class=argparse.ArgumentDefaultsHelpFormatter)
# video options
file_options = parser.add_argument_group('File Options')
file_options.add_argument('-i', '--input', type=pathlib.Path, help='source video file/directory', action='store')
file_options.add_argument('-o', '--output', type=pathlib.Path, help='output video file/directory', action='store')
# upscaler options
upscaler_options = parser.add_argument_group('Upscaler Options')
upscaler_options.add_argument('-m', '--method', help='upscaling method', action='store', default='gpu', choices=['cpu', 'gpu', 'cudnn'])
upscaler_options.add_argument('-d', '--driver', help='upscaling driver', action='store', default='waifu2x_caffe', choices=AVAILABLE_DRIVERS)
upscaler_options.add_argument('-y', '--model_dir', type=pathlib.Path, help='directory containing model JSON files', action='store')
upscaler_options.add_argument('-t', '--threads', help='number of threads to use for upscaling', action='store', type=int, default=1)
upscaler_options.add_argument('-c', '--config', type=pathlib.Path, help='video2x config file location', action='store', default=pathlib.Path(sys.argv[0]).parent.absolute() / 'video2x.yaml')
upscaler_options.add_argument('-b', '--batch', help='enable batch mode (select all default values to questions)', action='store_true')
# scaling options
scaling_options = parser.add_argument_group('Scaling Options')
scaling_options.add_argument('--width', help='output video width', action='store', type=int)
scaling_options.add_argument('--height', help='output video height', action='store', type=int)
scaling_options.add_argument('-r', '--ratio', help='scaling ratio', action='store', type=float)
# extra options
extra_options = parser.add_argument_group('Extra Options')
extra_options.add_argument('-v', '--version', help='display version, lawful information and exit', action='store_true')
# parse arguments
return parser.parse_args()
def print_logo():
"""print video2x logo"""
print(LOGO)
print(f'\n{"Video2X Video Enlarger".rjust(40, " ")}')
print(f'\n{Avalon.FM.BD}{f"Version {VERSION}".rjust(36, " ")}{Avalon.FM.RST}\n')
def check_memory():
""" Check usable system memory
Warn the user if insufficient memory is available for
the number of threads that the user have chosen.
"""
memory_status = []
# get system available memory
system_memory_available = psutil.virtual_memory().available / (1024 ** 3)
memory_status.append(('system', system_memory_available))
# check if Nvidia-smi is available
# GPUtil requires nvidia-smi.exe to interact with GPU
if args.method in ['gpu', 'cudnn']:
if not (shutil.which('nvidia-smi') or
pathlib.Path(r'C:\Program Files\NVIDIA Corporation\NVSMI\nvidia-smi.exe').is_file()):
# Nvidia System Management Interface not available
Avalon.warning('Nvidia-smi not available, skipping available memory check')
Avalon.warning('If you experience error \"cudaSuccess out of memory\", try reducing number of threads you\'re using')
else:
with contextlib.suppress(ValueError):
# "0" is GPU ID. Both waifu2x drivers use the first GPU available, therefore only 0 makes sense
gpu_memory_available = (GPUtil.getGPUs()[0].memoryTotal - GPUtil.getGPUs()[0].memoryUsed) / 1024
memory_status.append(('GPU', gpu_memory_available))
# go though each checkable memory type and check availability
for memory_type, memory_available in memory_status:
if memory_type == 'system':
mem_per_thread = SYS_MEM_PER_THREAD
else:
mem_per_thread = GPU_MEM_PER_THREAD
# if user doesn't even have enough memory to run even one thread
if memory_available < mem_per_thread:
Avalon.warning(f'You might have insufficient amount of {memory_type} memory available to run this program ({memory_available} GB)')
Avalon.warning('Proceed with caution')
if args.threads > 1:
if Avalon.ask('Reduce number of threads to avoid crashing?', default=True, batch=args.batch):
args.threads = 1
# if memory available is less than needed, warn the user
elif memory_available < (mem_per_thread * args.threads):
Avalon.warning(f'Each waifu2x-caffe thread will require up to {SYS_MEM_PER_THREAD} GB of system memory')
Avalon.warning(f'You demanded {args.threads} threads to be created, but you only have {round(memory_available, 4)} GB {memory_type} memory available')
Avalon.warning(f'{mem_per_thread * args.threads} GB of {memory_type} memory is recommended for {args.threads} threads')
Avalon.warning(f'With your current amount of {memory_type} memory available, {int(memory_available // mem_per_thread)} threads is recommended')
# ask the user if he / she wants to change to the recommended
# number of threads
if Avalon.ask('Change to the recommended value?', default=True, batch=args.batch):
args.threads = int(memory_available // mem_per_thread)
else:
Avalon.warning('Proceed with caution')
def read_config(config_file: pathlib.Path) -> dict:
""" read video2x configurations from config file
Arguments:
config_file {pathlib.Path} -- video2x configuration file pathlib.Path
Returns:
dict -- dictionary of video2x configuration
"""
with open(config_file, 'r') as config:
return yaml.load(config, Loader=yaml.FullLoader)
def absolutify_paths(config):
""" Check to see if paths to binaries are absolute
This function checks if paths to binary files are absolute.
If not, then absolutify the path.
Arguments:
config {dict} -- configuration file dictionary
Returns:
dict -- configuration file dictionary
"""
current_directory = pathlib.Path(sys.argv[0]).parent.absolute()
# check waifu2x-caffe path
if not re.match('^[a-z]:', config['waifu2x_caffe']['waifu2x_caffe_path'], re.IGNORECASE):
config['waifu2x_caffe']['waifu2x_caffe_path'] = current_directory / config['waifu2x_caffe']['waifu2x_caffe_path']
# check waifu2x-converter-cpp path
if not re.match('^[a-z]:', config['waifu2x_converter']['waifu2x_converter_path'], re.IGNORECASE):
config['waifu2x_converter']['waifu2x_converter_path'] = current_directory / config['waifu2x_converter']['waifu2x_converter_path']
# check waifu2x_ncnn_vulkan path
if not re.match('^[a-z]:', config['waifu2x_ncnn_vulkan']['waifu2x_ncnn_vulkan_path'], re.IGNORECASE):
config['waifu2x_ncnn_vulkan']['waifu2x_ncnn_vulkan_path'] = current_directory / config['waifu2x_ncnn_vulkan']['waifu2x_ncnn_vulkan_path']
# check anime4k path
if not re.match('^[a-z]:', config['anime4k']['anime4k_path'], re.IGNORECASE):
config['anime4k']['anime4k_path'] = current_directory / config['anime4k']['anime4k_path']
# check ffmpeg path
if not re.match('^[a-z]:', config['ffmpeg']['ffmpeg_path'], re.IGNORECASE):
config['ffmpeg']['ffmpeg_path'] = current_directory / config['ffmpeg']['ffmpeg_path']
# check video2x cache path
if config['video2x']['video2x_cache_directory']:
if not re.match('^[a-z]:', config['video2x']['video2x_cache_directory'], re.IGNORECASE):
config['video2x']['video2x_cache_directory'] = current_directory / config['video2x']['video2x_cache_directory']
return config
# /////////////////// Execution /////////////////// #
# this is not a library
if __name__ != '__main__':
Avalon.error('This file cannot be imported')
raise ImportError(f'{__file__} cannot be imported')
# print video2x logo
print_logo()
# parse command line arguments
args = parse_arguments()
# display version and lawful informaition
if args.version:
print(LEGAL_INFO)
sys.exit(0)
# arguments sanity check
if not args.input:
Avalon.error('You must specify input video file/directory path')
raise ArgumentError('input video path not specified')
if not args.output:
Avalon.error('You must specify output video file/directory path')
raise ArgumentError('output video path not specified')
if (args.driver in ['waifu2x_converter', 'waifu2x_ncnn_vulkan', 'anime4k']) and args.width and args.height:
Avalon.error('Selected driver accepts only scaling ratio')
raise ArgumentError('selected driver supports only scaling ratio')
if args.driver == 'waifu2x_ncnn_vulkan' and args.ratio is not None and (args.ratio > 2 or not args.ratio.is_integer()):
Avalon.error('Scaling ratio must be 1 or 2 for waifu2x_ncnn_vulkan')
raise ArgumentError('scaling ratio must be 1 or 2 for waifu2x_ncnn_vulkan')
if (args.width or args.height) and args.ratio:
Avalon.error('You can only specify either scaling ratio or output width and height')
raise ArgumentError('both scaling ration and width/height specified')
if (args.width and not args.height) or (not args.width and args.height):
Avalon.error('You must specify both width and height')
raise ArgumentError('only one of width or height is specified')
# check available memory if driver is waifu2x-based
if args.driver in ['waifu2x_caffe', 'waifu2x_converter', 'waifu2x_ncnn_vulkan']:
check_memory()
# anime4k runs significantly faster with more threads
if args.driver == 'anime4k' and args.threads <= 1:
Avalon.warning('Anime4K runs significantly faster with more threads')
if Avalon.ask('Use more threads of Anime4K?', default=True, batch=args.batch):
while True:
try:
threads = Avalon.gets('Amount of threads to use [5]: ', default=5, batch=args.batch)
args.threads = int(threads)
break
except ValueError:
if threads == '':
args.threads = 5
break
Avalon.error(f'{threads} is not a valid integer')
# read configurations from configuration file
config = read_config(args.config)
# config = absolutify_paths(config)
# load waifu2x configuration
driver_settings = config[args.driver]
# check if driver path exists
if not pathlib.Path(driver_settings['path']).is_file():
if not pathlib.Path(f'{driver_settings["path"]}.exe').is_file():
Avalon.error('Specified driver executable directory doesn\'t exist')
Avalon.error('Please check the configuration file settings')
raise FileNotFoundError(driver_settings['path'])
# if the driver is Anime4K, check if JDK 12 is installed
if args.driver == 'anime4k':
if not pathlib.Path('C:/Program Files/Java/jdk-12.0.2/bin/java.exe').is_file():
Avalon.warning('Cannot find JDK 12 at its default installation location')
Avalon.warning('Please ensure you have JDK 12 installed and configured')
# read FFmpeg configuration
ffmpeg_settings = config['ffmpeg']
# load video2x settings
image_format = config['video2x']['image_format'].lower()
preserve_frames = config['video2x']['preserve_frames']
# load cache directory
if isinstance(config['video2x']['video2x_cache_directory'], str):
video2x_cache_directory = pathlib.Path(config['video2x']['video2x_cache_directory'])
else:
video2x_cache_directory = pathlib.Path(tempfile.gettempdir()) / 'video2x'
if video2x_cache_directory.exists() and not video2x_cache_directory.is_dir():
Avalon.error('Specified cache directory is a file/link')
raise FileExistsError('Specified cache directory is a file/link')
elif not video2x_cache_directory.exists():
# if destination file is a file or a symbolic link
Avalon.warning(f'Specified cache directory {video2x_cache_directory} does not exist')
# try creating the cache directory
if Avalon.ask('Create directory?', default=True, batch=args.batch):
try:
video2x_cache_directory.mkdir(parents=True, exist_ok=True)
Avalon.info(f'{video2x_cache_directory} created')
# there can be a number of exceptions here
# PermissionError, FileExistsError, etc.
# therefore, we put a catch-them-all here
except Exception as e:
Avalon.error(f'Unable to create {video2x_cache_directory}')
Avalon.error('Aborting...')
raise e
else:
raise FileNotFoundError('Could not create cache directory')
# start execution
try:
# start timer
begin_time = time.time()
# if input specified is a single file
if args.input.is_file():
# upscale single video file
Avalon.info(f'Upscaling single video file: {args.input}')
# check for input output format mismatch
if args.output.is_dir():
Avalon.error('Input and output path type mismatch')
Avalon.error('Input is single file but output is directory')
raise Exception('input output path type mismatch')
if not re.search(r'.*\..*$', str(args.output)):
Avalon.error('No suffix found in output file path')
Avalon.error('Suffix must be specified for FFmpeg')
raise Exception('No suffix specified')
upscaler = Upscaler(input_video=args.input, output_video=args.output, method=args.method, driver_settings=driver_settings, ffmpeg_settings=ffmpeg_settings)
# set optional options
upscaler.waifu2x_driver = args.driver
upscaler.scale_width = args.width
upscaler.scale_height = args.height
upscaler.scale_ratio = args.ratio
upscaler.model_dir = args.model_dir
upscaler.threads = args.threads
upscaler.video2x_cache_directory = video2x_cache_directory
upscaler.image_format = image_format
upscaler.preserve_frames = preserve_frames
# run upscaler
upscaler.create_temp_directories()
upscaler.run()
upscaler.cleanup_temp_directories()
# if input specified is a directory
elif args.input.is_dir():
# upscale videos in a directory
Avalon.info(f'Upscaling videos in directory: {args.input}')
# make output directory if it doesn't exist
args.output.mkdir(parents=True, exist_ok=True)
for input_video in [f for f in args.input.iterdir() if f.is_file()]:
output_video = args.output / input_video.name
upscaler = Upscaler(input_video=input_video, output_video=output_video, method=args.method, driver_settings=driver_settings, ffmpeg_settings=ffmpeg_settings)
# set optional options
upscaler.waifu2x_driver = args.driver
upscaler.scale_width = args.width
upscaler.scale_height = args.height
upscaler.scale_ratio = args.ratio
upscaler.model_dir = args.model_dir
upscaler.threads = args.threads
upscaler.video2x_cache_directory = video2x_cache_directory
upscaler.image_format = image_format
upscaler.preserve_frames = preserve_frames
# run upscaler
upscaler.create_temp_directories()
upscaler.run()
upscaler.cleanup_temp_directories()
else:
Avalon.error('Input path is neither a file nor a directory')
raise FileNotFoundError(f'{args.input} is neither file nor directory')
Avalon.info(f'Program completed, taking {round((time.time() - begin_time), 5)} seconds')
except Exception:
Avalon.error('An exception has occurred')
traceback.print_exc()
# try cleaning up temp directories
with contextlib.suppress(Exception):
upscaler.cleanup_temp_directories()
finally:
# remove Video2X cache directory
with contextlib.suppress(FileNotFoundError):
if not preserve_frames:
shutil.rmtree(video2x_cache_directory)

89
src/video2x.yaml Normal file
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---
waifu2x_caffe:
path: C:\Users\K4YT3X\AppData\Local\video2x\waifu2x-caffe\waifu2x-caffe-cui
input_extention_list:
output_extention:
mode: noise_scale
scale_ratio:
scale_width:
scale_height:
noise_level: 3
process: gpu
crop_size: 128
output_quality: -1
output_depth: 8
batch_size: 1
gpu: 0
tta: 0
input_path:
output_path:
model_dir:
crop_w:
crop_h:
waifu2x_converter:
path: C:\Users\K4YT3X\AppData\Local\video2x\waifu2x-converter-cpp
output-format:
png-compression:
image-quality:
block-size:
disable-gpu:
force-OpenCL:
processor:
jobs:
model-dir:
scale-ratio:
noise-level: 3
mode: noise-scale
silent: true
output:
input:
waifu2x_ncnn_vulkan:
path: C:\Users\K4YT3X\AppData\Local\video2x\waifu2x-ncnn-vulkan\waifu2x-ncnn-vulkan
v:
i:
o:
n: 2
s: 2
t: 400
m: models-cunet
g: 0
j: "1:2:2"
anime4k:
path: C:\Users\K4YT3X\AppData\Local\video2x\anime4k\Anime4K.jar
java_path: C:\Program Files\Java\jdk-12.0.2\bin\java.exe
ffmpeg:
ffmpeg_path: C:\Users\K4YT3X\AppData\Local\video2x\ffmpeg-latest-win64-static\bin
video_to_frames:
output_options:
"-qscale:v":
"-pix_fmt": rgba64be
"-hwaccel": auto
"-y": true
frames_to_video:
input_options:
"-qscale:v":
"-qscale:a":
"-f": image2
output_options:
"-vcodec": libx264
"-crf": 17
"-b:v":
"-pix_fmt":
"-hwaccel": auto
"-y": true
migrating_tracks:
output_options:
"-map":
- 0:v?
- 1:a?
- 1:s?
- 1:d?
- 1:t?
"-c": copy
"-pix_fmt":
"-hwaccel": auto
"-y": true
video2x:
video2x_cache_directory:
image_format: png
preserve_frames: false

462
src/video2x_gui.py Executable file
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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Creator: Video2X GUI
Author: K4YT3X
Date Created: July 27, 2019
Last Modified: December 11, 2019
Description: A simple GUI for Video2X made with tkinter.
"""
# local imports
from exceptions import *
from upscaler import Upscaler
# built-in imports
from tkinter import *
from tkinter import messagebox
from tkinter import ttk
from tkinter.filedialog import *
import contextlib
import pathlib
import sys
import tempfile
import threading
import time
import yaml
VERSION = '1.1.3'
VIDEO2X_CONFIG = pathlib.Path(sys.argv[0]).parent.absolute() / 'video2x.yaml'
LEGAL_INFO = f'''Video2X GUI Version: {VERSION}
Author: K4YT3X
License: GNU GPL v3
Github Page: https://github.com/k4yt3x/video2x
Contact: k4yt3x@k4yt3x.com'''
# global static variables
AVAILABLE_METHODS = {
'GPU': 'gpu',
'CUDNN': 'cudnn',
'CPU': 'cpu'
}
AVAILABLE_DRIVERS = {
'Waifu2X Caffe': 'waifu2x_caffe',
'Waifu2X Converter CPP': 'waifu2x_converter',
'Waifu2x NCNN Vulkan': 'waifu2x_ncnn_vulkan',
'Anime4K': 'anime4k'
}
IMAGE_FORMATS = {'PNG', 'JPG'}
DEMUXER_EXTENSIONS = {'3dostr', '4xm', 'aa', 'aac', 'ac3', 'acm', 'act',
'adf', 'adp', 'ads', 'adx', 'aea', 'afc', 'aiff', 'aix', 'alaw',
'alias_pix', 'alsa', 'amr', 'amrnb', 'amrwb', 'anm', 'apc', 'ape',
'apng', 'aptx', 'aptx_hd', 'aqtitle', 'asf', 'asf_o', 'ass', 'ast',
'au', 'avi', 'avisynth', 'avr', 'avs', 'avs2', 'bethsoftvid', 'bfi',
'bfstm', 'bin', 'bink', 'bit', 'bmp_pipe', 'bmv', 'boa', 'brender_pix',
'brstm', 'c93', 'caf', 'cavsvideo', 'cdg', 'cdxl', 'cine', 'codec2',
'codec2raw', 'concat', 'dash', 'data', 'daud', 'dcstr', 'dds_pipe',
'dfa', 'dirac', 'dnxhd', 'dpx_pipe', 'dsf', 'dsicin', 'dss', 'dts',
'dtshd', 'dv', 'dvbsub', 'dvbtxt', 'dxa', 'ea', 'ea_cdata', 'eac3',
'epaf', 'exr_pipe', 'f32be', 'f32le', 'f64be', 'f64le', 'fbdev',
'ffmetadata', 'film_cpk', 'filmstrip', 'fits', 'flac', 'flic', 'flv',
'frm', 'fsb', 'g722', 'g723_1', 'g726', 'g726le', 'g729', 'gdv', 'genh',
'gif', 'gsm', 'gxf', 'h261', 'h263', 'h264', 'hevc', 'hls', 'applehttp',
'hnm', 'ico', 'idcin', 'idf', 'iec61883', 'iff', 'ilbc', 'image2',
'image2pipe', 'ingenient', 'ipmovie', 'ircam', 'iss', 'iv8', 'ivf',
'ivr', 'j2k_pipe', 'jack', 'jacosub', 'jpeg_pipe', 'jpegls_pipe',
'jv', 'kmsgrab', 'lavfi', 'libcdio', 'libdc1394', 'libgme', 'libopenmpt',
'live_flv', 'lmlm4', 'loas', 'lrc', 'lvf', 'lxf', 'm4v', 'matroska', 'webm',
'mgsts', 'microdvd', 'mjpeg', 'mjpeg_2000', 'mlp', 'mlv', 'mm', 'mmf',
'mov', 'mp4', 'm4a', '3gp', '3g2', 'mj2', 'mp3', 'mpc', 'mpc8', 'mpeg',
'mpegts', 'mpegtsraw', 'mpegvideo', 'mpjpeg', 'mpl2', 'mpsub', 'msf',
'msnwctcp', 'mtaf', 'mtv', 'mulaw', 'musx', 'mv', 'mvi', 'mxf', 'mxg',
'nc', 'nistsphere', 'nsp', 'nsv', 'nut', 'nuv', 'ogg', 'oma', 'openal',
'oss', 'paf', 'pam_pipe', 'pbm_pipe', 'pcx_pipe', 'pgm_pipe', 'pgmyuv_pipe',
'pictor_pipe', 'pjs', 'pmp', 'png_pipe', 'ppm_pipe', 'psd_pipe', 'psxstr',
'pulse', 'pva', 'pvf', 'qcp', 'qdraw_pipe', 'r3d', 'rawvideo', 'realtext',
'redspark', 'rl2', 'rm', 'roq', 'rpl', 'rsd', 'rso', 'rtp', 'rtsp',
's16be', 's16le', 's24be', 's24le', 's32be', 's32le', 's337m', 's8',
'sami', 'sap', 'sbc', 'sbg', 'scc', 'sdp', 'sdr2', 'sds', 'sdx', 'ser',
'sgi_pipe', 'shn', 'siff', 'sln', 'smjpeg', 'smk', 'smush', 'sndio',
'sol', 'sox', 'spdif', 'srt', 'stl', 'subviewer', 'subviewer1', 'sunrast_pipe',
'sup', 'svag', 'svg_pipe', 'swf', 'tak', 'tedcaptions', 'thp', 'tiertexseq',
'tiff_pipe', 'tmv', 'truehd', 'tta', 'tty', 'txd', 'ty', 'u16be', 'u16le',
'u24be', 'u24le', 'u32be', 'u32le', 'u8', 'v210', 'v210x', 'vag', 'vc1',
'vc1test', 'vidc', 'video4linux2', 'v4l2', 'vivo', 'vmd', 'vobsub', 'voc',
'vpk', 'vplayer', 'vqf', 'w64', 'wav', 'wc3movie', 'webm_dash_manifest',
'webp_pipe', 'webvtt', 'wsaud', 'wsd', 'wsvqa', 'wtv', 'wv', 'wve', 'x11grab',
'xa', 'xbin', 'xmv', 'xpm_pipe', 'xvag', 'xwd_pipe', 'xwma', 'yop', 'yuv4mpegpipe'}
class Video2xGui():
def __init__(self):
self.running = False
# create main window
self.main_window = Tk()
self.main_window.title(f'Video2X GUI {VERSION}')
self.main_frame = Frame()
self.main_frame.pack(fill=BOTH, expand=True)
# add menu bar
self.menu_bar = Menu(self.main_frame)
# file menu
self.file_menu = Menu(self.menu_bar, tearoff=0)
self.file_menu.add_command(label='Exit', command=self.main_frame.quit)
self.menu_bar.add_cascade(label='File', menu=self.file_menu)
# help menu
self.help_menu = Menu(self.menu_bar, tearoff=0)
self.help_menu.add_command(label='About', command=self._display_help)
self.menu_bar.add_cascade(label='Help', menu=self.help_menu)
self.main_window.config(menu=self.menu_bar)
# file frame
self.file_frame = Frame(self.main_frame)
self.file_frame.pack(fill=X, padx=5, pady=5, expand=True)
# input file
self.input_file = StringVar()
label_text = StringVar()
label_text.set('Input File')
Label(self.file_frame, textvariable=label_text, relief=RIDGE, width=10).grid(row=0, column=0, padx=5, pady=5, sticky=W)
Entry(self.file_frame, textvariable=self.input_file, width=60).grid(row=0, column=1, padx=5, pady=5, sticky=W)
Button(self.file_frame, text='Select', command=self._select_input).grid(row=0, column=2, padx=5, pady=5, sticky=W)
# output file
self.output_file = StringVar()
label_text = StringVar()
label_text.set('Output File')
Label(self.file_frame, textvariable=label_text, relief=RIDGE, width=10).grid(row=1, column=0, padx=5, pady=5, sticky=W)
Entry(self.file_frame, textvariable=self.output_file, width=60).grid(row=1, column=1, padx=5, pady=5, sticky=W)
Button(self.file_frame, text='Select', command=self._select_output).grid(row=1, column=2, padx=5, pady=5, sticky=W)
# options
self.options_frame = Frame()
# self.options_left.pack(fill=X, padx=5, pady=5, expand=True)
self.options_frame.pack(fill=X, padx=5, pady=5, expand=True)
self.options_left = Frame(self.options_frame)
# self.options_left.pack(fill=X, padx=5, pady=5, expand=True)
self.options_left.grid(row=0, column=0, padx=5, pady=5, sticky=N)
# width
self.width = IntVar()
# self.width.set(1920)
Label(self.options_left, text='Width', relief=RIDGE, width=15).grid(row=0, column=0, padx=2, pady=3)
width_field = Entry(self.options_left, textvariable=self.width)
width_field.grid(row=0, column=1, padx=2, pady=3, sticky=W)
# height
self.height = IntVar()
# self.height.set(1080)
Label(self.options_left, text='Height', relief=RIDGE, width=15).grid(row=1, column=0, padx=2, pady=3)
height_field = Entry(self.options_left, textvariable=self.height)
height_field.grid(row=1, column=1, padx=2, pady=3, sticky=W)
# scale ratio
self.scale_ratio = DoubleVar()
# self.scale_ratio.set(2.0)
Label(self.options_left, text='Scale Ratio', relief=RIDGE, width=15).grid(row=2, column=0, padx=2, pady=3)
scale_ratio_field = Entry(self.options_left, textvariable=self.scale_ratio)
scale_ratio_field.grid(row=2, column=1, padx=2, pady=3, sticky=W)
# image format
self.image_format = StringVar(self.options_left)
self.image_format.set('PNG')
Label(self.options_left, text='Image Format', relief=RIDGE, width=15).grid(row=3, column=0, padx=2, pady=3)
image_format_menu = OptionMenu(self.options_left, self.image_format, *IMAGE_FORMATS)
image_format_menu.grid(row=3, column=1, padx=2, pady=3, sticky=W)
# options
self.options_right = Frame(self.options_frame)
# self.options_left.pack(fill=X, padx=5, pady=5, expand=True)
self.options_right.grid(row=0, column=1, padx=5, pady=5, sticky=N)
# threads
self.threads = IntVar()
self.threads.set(1)
Label(self.options_right, text='Threads', relief=RIDGE, width=15).grid(row=0, column=0, padx=2, pady=3)
threads_field = Entry(self.options_right, textvariable=self.threads)
threads_field.grid(row=0, column=1, padx=2, pady=3, sticky=W)
# method
self.method = StringVar(self.options_left)
self.method.set('GPU')
Label(self.options_right, text='Method', relief=RIDGE, width=15).grid(row=1, column=0, padx=2, pady=3)
method_menu = OptionMenu(self.options_right, self.method, *AVAILABLE_METHODS)
method_menu.grid(row=1, column=1, padx=2, pady=3, sticky=W)
# driver
self.driver = StringVar(self.options_left)
self.driver.set('Waifu2X Caffe')
Label(self.options_right, text='Driver', relief=RIDGE, width=15).grid(row=2, column=0, padx=2, pady=3)
driver_menu = OptionMenu(self.options_right, self.driver, *AVAILABLE_DRIVERS)
driver_menu.grid(row=2, column=1, padx=2, pady=3, sticky=W)
# preserve frames
self.preserve_frames = BooleanVar(self.options_left)
self.preserve_frames.set(False)
Label(self.options_right, text='Preserve Frames', relief=RIDGE, width=15).grid(row=3, column=0, padx=2, pady=3)
preserve_frames_menu = OptionMenu(self.options_right, self.preserve_frames, *{True, False})
preserve_frames_menu.grid(row=3, column=1, padx=2, pady=3, sticky=W)
# progress bar
self.progress_bar_frame = Frame()
self.progress_bar_frame.pack(fill=X, padx=5, pady=5, expand=True)
self.progress_bar = ttk.Progressbar(self.progress_bar_frame, orient='horizontal', length=100, mode='determinate')
self.progress_bar.pack(fill=X)
# start button frame
self.start_frame = Frame()
self.start_frame.pack(fill=X, padx=5, pady=5, expand=True)
# start button
self.start_button_text = StringVar()
self.start_button_text.set('Start')
Button(self.start_frame, textvariable=self.start_button_text, command=self._launch_upscaling, width=20).pack(side=RIGHT)
self.main_frame.mainloop()
def _display_help(self):
messagebox.showinfo('About', LEGAL_INFO)
def _launch_upscaling(self):
# prevent launching multiple instances
if self.running:
messagebox.showerror('Error', 'Video2X is already running')
return
# arguments sanity check
if self.input_file.get() == '':
messagebox.showerror('Error', 'You must specify input video file/directory path')
return
if self.output_file.get() == '':
messagebox.showerror('Error', 'You must specify output video file/directory path')
return
if (self.driver.get() in ['Waifu2X Converter CPP', 'Waifu2x NCNN Vulkan', 'Anime4K']) and self.width.get() and self.height.get():
messagebox.showerror('Error', f'Selected driver \"{self.driver.get()}\" accepts only scaling ratio')
return
if self.driver.get() == 'waifu2x_ncnn_vulkan' and (self.scale_ratio.get() > 2 or not self.scale_ratio.get().is_integer()):
messagebox.showerror('Error', 'Scaling ratio must be 1 or 2 for waifu2x_ncnn_vulkan')
return
if (self.width.get() or self.height.get()) and self.scale_ratio.get():
messagebox.showerror('Error', 'You can only specify either scaling ratio or output width and height')
return
if (self.width.get() and not self.height.get()) or (not self.width.get() and self.height.get()):
messagebox.showerror('Error', 'You must specify both width and height')
return
if (not self.width.get() or not self.height.get()) and not self.scale_ratio.get():
messagebox.showerror('Error', 'You must specify either output dimensions or scaling ratio')
return
upscale = threading.Thread(target=self._upscale)
upscale.start()
self.running = True
self.start_button_text.set('Running')
def _upscale(self):
try:
# start timer
begin_time = time.time()
# read configuration file
config = read_config(VIDEO2X_CONFIG)
config = absolutify_paths(config)
input_file = pathlib.Path(self.input_file.get())
output_file = pathlib.Path(self.output_file.get())
driver = AVAILABLE_DRIVERS[self.driver.get()]
# load specified driver's config into driver_settings
driver_settings = config[driver]
# if executable doesn't exist, show warning
if not pathlib.Path(driver_settings['path']).is_file() and not pathlib.Path(f'{driver_settings["path"]}.exe').is_file():
messagebox.showerror('Error', 'Specified driver directory doesn\'t exist\nPlease check the configuration file settings')
raise FileNotFoundError(driver_settings['path'])
# read FFmpeg configuration
ffmpeg_settings = config['ffmpeg']
# load video2x settings
image_format = config['video2x']['image_format'].lower()
preserve_frames = config['video2x']['preserve_frames']
# load cache directory
if isinstance(config['video2x']['video2x_cache_directory'], str):
video2x_cache_directory = pathlib.Path(config['video2x']['video2x_cache_directory'])
else:
video2x_cache_directory = pathlib.Path(tempfile.gettempdir()) / 'video2x'
if video2x_cache_directory.exists() and not video2x_cache_directory.is_dir():
messagebox.showerror('Error', 'Specified cache directory is a file/link')
raise FileExistsError('Specified cache directory is a file/link')
elif not video2x_cache_directory.exists():
# try creating the cache directory
if messagebox.askyesno('Question', f'Specified cache directory {video2x_cache_directory} does not exist\nCreate directory?'):
try:
video2x_cache_directory.mkdir(parents=True, exist_ok=True)
# there can be a number of exceptions here
# PermissionError, FileExistsError, etc.
# therefore, we put a catch-them-all here
except Exception as e:
messagebox.showerror('Error', f'Unable to create {video2x_cache_directory}\nAborting...')
raise e
else:
raise FileNotFoundError('Could not create cache directory')
# load more settings from gui
width = self.width.get()
height = self.height.get()
scale_ratio = self.scale_ratio.get()
image_format = self.image_format.get()
threads = self.threads.get()
method = AVAILABLE_METHODS[self.method.get()]
preserve_frames = self.preserve_frames.get()
self.upscaler = Upscaler(input_video=input_file, output_video=output_file, method=method, driver_settings=driver_settings, ffmpeg_settings=ffmpeg_settings)
# set optional options
self.upscaler.waifu2x_driver = driver
self.upscaler.scale_width = width
self.upscaler.scale_height = height
self.upscaler.scale_ratio = scale_ratio
self.upscaler.model_dir = None
self.upscaler.threads = threads
self.upscaler.video2x_cache_directory = video2x_cache_directory
self.upscaler.image_format = image_format
self.upscaler.preserve_frames = preserve_frames
# run upscaler
self.upscaler.create_temp_directories()
# start progress bar
progress_bar = threading.Thread(target=self._progress_bar)
progress_bar.start()
# start upscaling
self.upscaler.run()
self.upscaler.cleanup_temp_directories()
# show message when upscaling completes
messagebox.showinfo('Info', f'Upscaling Completed\nTime Taken: {round((time.time() - begin_time), 5)} seconds')
self.progress_bar['value'] = 100
self.running = False
self.start_button_text.set('Start')
except Exception as e:
messagebox.showerror('Error', f'Upscaler ran into an error:\n{e}')
# try cleaning up temp directories
with contextlib.suppress(Exception):
self.upscaler.cleanup_temp_directories()
def _progress_bar(self):
""" This method prints a progress bar
This method prints a progress bar by keeping track
of the amount of frames in the input directory
and the output directory. This is originally
suggested by @ArmandBernard.
"""
# initialize variables early
self.upscaler.progress_bar_exit_signal = False
self.upscaler.total_frames_upscaled = 0
self.upscaler.total_frames = 1
# initialize progress bar values
self.progress_bar['value'] = 0
while not self.upscaler.progress_bar_exit_signal:
self.progress_bar['value'] = int(100 * self.upscaler.total_frames_upscaled / self.upscaler.total_frames)
time.sleep(1)
def _select_input(self):
self.input_file.set(askopenfilename(title='Select Input File'))
# remove input file extension
input_filename = str(self.input_file.get())
for extension in DEMUXER_EXTENSIONS:
if input_filename.endswith(f'.{extension}'):
input_filename = input_filename[:-1 - len(extension)]
# try to set an output file name automatically
output_file = pathlib.Path(f'{input_filename}_output.mp4')
output_file_id = 0
while output_file.is_file() and output_file_id <= 10:
output_file = pathlib.Path(f'{input_filename}_output_{output_file_id}.mp4')
output_file_id += 1
if not output_file.exists():
self.output_file.set(str(output_file))
def _select_output(self):
self.output_file.set(asksaveasfilename(title='Select Output File'))
def read_config(config_file):
""" Reads configuration file
Returns a dictionary read by parsing Video2X config.
"""
with open(config_file, 'r') as raw_config:
config = yaml.load(raw_config, Loader=yaml.FullLoader)
return config
def absolutify_paths(config):
""" Check to see if paths to binaries are absolute
This function checks if paths to binary files are absolute.
If not, then absolutify the path.
Arguments:
config {dict} -- configuration file dictionary
Returns:
dict -- configuration file dictionary
"""
current_directory = pathlib.Path(sys.argv[0]).parent.absolute()
# check waifu2x-caffe path
if not re.match('^[a-z]:', config['waifu2x_caffe']['path'], re.IGNORECASE):
config['waifu2x_caffe']['path'] = current_directory / config['waifu2x_caffe']['path']
# check waifu2x-converter-cpp path
if not re.match('^[a-z]:', config['waifu2x_converter']['path'], re.IGNORECASE):
config['waifu2x_converter']['path'] = current_directory / config['waifu2x_converter']['path']
# check waifu2x_ncnn_vulkan path
if not re.match('^[a-z]:', config['waifu2x_ncnn_vulkan']['path'], re.IGNORECASE):
config['waifu2x_ncnn_vulkan']['path'] = current_directory / config['waifu2x_ncnn_vulkan']['path']
# check ffmpeg path
if not re.match('^[a-z]:', config['ffmpeg']['ffmpeg_path'], re.IGNORECASE):
config['ffmpeg']['ffmpeg_path'] = current_directory / config['ffmpeg']['ffmpeg_path']
# check video2x cache path
if config['video2x']['video2x_cache_directory']:
if not re.match('^[a-z]:', config['video2x']['video2x_cache_directory'], re.IGNORECASE):
config['video2x']['video2x_cache_directory'] = current_directory / config['video2x']['video2x_cache_directory']
return config
video2x_gui = Video2xGui()

382
src/video2x_setup.py Executable file
View File

@@ -0,0 +1,382 @@
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Name: Video2X Setup Script
Creator: K4YT3X
Date Created: November 28, 2018
Last Modified: January 4, 2020
Editor: BrianPetkovsek
Editor: SAT3LL
Description: This script helps installing all dependencies of video2x
and generates a configuration for it.
Installation Details:
- ffmpeg: %LOCALAPPDATA%\\video2x\\ffmpeg
- waifu2x-caffe: %LOCALAPPDATA%\\video2x\\waifu2x-caffe
- waifu2x-cpp-converter: %LOCALAPPDATA%\\video2x\\waifu2x-converter-cpp
- waifu2x_ncnn_vulkan: %LOCALAPPDATA%\\video2x\\waifu2x-ncnn-vulkan
- anime4k: %LOCALAPPDATA%\\video2x\\anime4k
"""
# built-in imports
from datetime import timedelta
import argparse
import contextlib
import os
import pathlib
import re
import shutil
import subprocess
import sys
import tempfile
import time
import traceback
import urllib
import zipfile
# Requests doesn't come with windows, therefore
# it will be installed as a dependency and imported
# later in the script.
# import requests
VERSION = '1.6.1'
# global static variables
LOCALAPPDATA = pathlib.Path(os.getenv('localappdata'))
VIDEO2X_CONFIG = pathlib.Path(sys.argv[0]).parent.absolute() / 'video2x.yaml'
DRIVER_OPTIONS = ['all', 'waifu2x_caffe', 'waifu2x_converter', 'waifu2x_ncnn_vulkan', 'anime4k']
def parse_arguments():
"""Processes CLI arguments
"""
parser = argparse.ArgumentParser(formatter_class=argparse.ArgumentDefaultsHelpFormatter)
# video options
general_options = parser.add_argument_group('General Options')
general_options.add_argument('-d', '--driver', help='driver to download and configure', action='store', choices=DRIVER_OPTIONS, default='all')
# parse arguments
return parser.parse_args()
class Video2xSetup:
""" Install dependencies for video2x video enlarger
This library is meant to be executed as a stand-alone
script. All files will be installed under %LOCALAPPDATA%\\video2x.
"""
def __init__(self, driver, download_python_modules):
self.driver = driver
self.download_python_modules = download_python_modules
self.trash = []
def run(self):
if self.download_python_modules:
print('\nInstalling Python libraries')
self._install_python_requirements()
print('\nInstalling FFmpeg')
self._install_ffmpeg()
if self.driver == 'all':
self._install_waifu2x_caffe()
self._install_waifu2x_converter_cpp()
self._install_waifu2x_ncnn_vulkan()
self._install_anime4k()
elif self.driver == 'waifu2x_caffe':
self._install_waifu2x_caffe()
elif self.driver == 'waifu2x_converter':
self._install_waifu2x_converter_cpp()
elif self.driver == 'waifu2x_ncnn_vulkan':
self._install_waifu2x_ncnn_vulkan()
elif self.driver == 'anime4k':
self._install_anime4k()
print('\nGenerating Video2X configuration file')
self._generate_config()
print('\nCleaning up temporary files')
self._cleanup()
def _install_python_requirements(self):
""" Read requirements.txt and return its content
"""
pip_install('requirements.txt')
def _cleanup(self):
""" Cleanup all the temp files downloaded
"""
for file in self.trash:
try:
if file.is_dir():
print(f'Deleting directory: {file}')
shutil.rmtree(file)
else:
print(f'Deleting file: {file}')
file.unlink()
except Exception:
print(f'Error deleting: {file}')
traceback.print_exc()
def _install_ffmpeg(self):
""" Install FFMPEG
"""
latest_release = 'https://ffmpeg.zeranoe.com/builds/win64/static/ffmpeg-latest-win64-static.zip'
ffmpeg_zip = download(latest_release, tempfile.gettempdir())
self.trash.append(ffmpeg_zip)
with zipfile.ZipFile(ffmpeg_zip) as zipf:
zipf.extractall(LOCALAPPDATA / 'video2x')
def _install_waifu2x_caffe(self):
""" Install waifu2x_caffe
"""
print('\nInstalling waifu2x-caffe')
import requests
# Get latest release of waifu2x-caffe via GitHub API
latest_release = requests.get('https://api.github.com/repos/lltcggie/waifu2x-caffe/releases/latest').json()
for a in latest_release['assets']:
if 'waifu2x-caffe.zip' in a['browser_download_url']:
waifu2x_caffe_zip = download(a['browser_download_url'], tempfile.gettempdir())
self.trash.append(waifu2x_caffe_zip)
with zipfile.ZipFile(waifu2x_caffe_zip) as zipf:
zipf.extractall(LOCALAPPDATA / 'video2x')
def _install_waifu2x_converter_cpp(self):
""" Install waifu2x_caffe
"""
print('\nInstalling waifu2x-converter-cpp')
import requests
# Get latest release of waifu2x-caffe via GitHub API
latest_release = requests.get('https://api.github.com/repos/DeadSix27/waifu2x-converter-cpp/releases/latest').json()
for a in latest_release['assets']:
if re.search(r'waifu2x-DeadSix27-win64_v[0-9]*\.zip', a['browser_download_url']):
waifu2x_converter_cpp_zip = download(a['browser_download_url'], tempfile.gettempdir())
self.trash.append(waifu2x_converter_cpp_zip)
with zipfile.ZipFile(waifu2x_converter_cpp_zip) as zipf:
zipf.extractall(LOCALAPPDATA / 'video2x' / 'waifu2x-converter-cpp')
def _install_waifu2x_ncnn_vulkan(self):
""" Install waifu2x-ncnn-vulkan
"""
print('\nInstalling waifu2x-ncnn-vulkan')
import requests
# Get latest release of waifu2x-ncnn-vulkan via Github API
latest_release = requests.get('https://api.github.com/repos/nihui/waifu2x-ncnn-vulkan/releases/latest').json()
for a in latest_release['assets']:
if re.search(r'waifu2x-ncnn-vulkan-\d*\.zip', a['browser_download_url']):
waifu2x_ncnn_vulkan_zip = download(a['browser_download_url'], tempfile.gettempdir())
self.trash.append(waifu2x_ncnn_vulkan_zip)
# extract and rename
waifu2x_ncnn_vulkan_directory = LOCALAPPDATA / 'video2x' / 'waifu2x-ncnn-vulkan'
with zipfile.ZipFile(waifu2x_ncnn_vulkan_zip) as zipf:
zipf.extractall(LOCALAPPDATA / 'video2x')
# if directory already exists, remove it
if waifu2x_ncnn_vulkan_directory.exists():
shutil.rmtree(waifu2x_ncnn_vulkan_directory)
# rename the newly extracted directory
(LOCALAPPDATA / 'video2x' / zipf.namelist()[0]).rename(waifu2x_ncnn_vulkan_directory)
def _install_anime4k(self):
""" Install Anime4K
"""
print('\nInstalling Anime4K')
"""
import requests
# get latest release of Anime4K via Github API
# at the time of writing this portion, Anime4K doesn't yet have a stable release
# therefore releases/latest won't work
latest_release = requests.get('https://api.github.com/repos/bloc97/Anime4K/releases').json()[0]
for a in latest_release['assets']:
if 'Anime4K_Java.zip' in a['browser_download_url']:
anime4k_zip = download(a['browser_download_url'], tempfile.gettempdir())
self.trash.append(anime4k_zip)
"""
# since Java pre-compiled release has been removed from download
# page, we use this cached version as a temporary solution
anime4k_zip = download('https://files.flexio.org/Resources/anime4k.zip', tempfile.gettempdir())
self.trash.append(anime4k_zip)
# extract and rename
with zipfile.ZipFile(anime4k_zip) as zipf:
zipf.extractall(LOCALAPPDATA / 'video2x' / 'anime4k')
def _generate_config(self):
""" Generate video2x config
"""
import yaml
# open current video2x configuration file as template
with open(VIDEO2X_CONFIG, 'r') as template:
template_dict = yaml.load(template, Loader=yaml.FullLoader)
template.close()
# configure only the specified drivers
if self.driver == 'all':
template_dict['waifu2x_caffe']['path'] = str(LOCALAPPDATA / 'video2x' / 'waifu2x-caffe' / 'waifu2x-caffe-cui.exe')
template_dict['waifu2x_converter']['path'] = str(LOCALAPPDATA / 'video2x' / 'waifu2x-converter-cpp')
template_dict['waifu2x_ncnn_vulkan']['path'] = str(LOCALAPPDATA / 'video2x' / 'waifu2x-ncnn-vulkan' / 'waifu2x-ncnn-vulkan.exe')
template_dict['anime4k']['path'] = str(LOCALAPPDATA / 'video2x' / 'anime4k' / 'Anime4K.jar')
elif self.driver == 'waifu2x_caffe':
template_dict['waifu2x_caffe']['path'] = str(LOCALAPPDATA / 'video2x' / 'waifu2x-caffe' / 'waifu2x-caffe-cui.exe')
elif self.driver == 'waifu2x_converter':
template_dict['waifu2x_converter']['path'] = str(LOCALAPPDATA / 'video2x' / 'waifu2x-converter-cpp')
elif self.driver == 'waifu2x_ncnn_vulkan':
template_dict['waifu2x_ncnn_vulkan']['path'] = str(LOCALAPPDATA / 'video2x' / 'waifu2x-ncnn-vulkan' / 'waifu2x-ncnn-vulkan.exe')
elif self.driver == 'anime4k':
template_dict['anime4k']['path'] = str(LOCALAPPDATA / 'video2x' / 'anime4k' / 'Anime4K.jar')
template_dict['ffmpeg']['ffmpeg_path'] = str(LOCALAPPDATA / 'video2x' / 'ffmpeg-latest-win64-static' / 'bin')
template_dict['video2x']['video2x_cache_directory'] = None
template_dict['video2x']['preserve_frames'] = False
# write configuration into file
with open(VIDEO2X_CONFIG, 'w') as config:
yaml.dump(template_dict, config)
def download(url, save_path, chunk_size=4096):
""" Download file to local with requests library
"""
from tqdm import tqdm
import requests
save_path = pathlib.Path(save_path)
# create target folder if it doesn't exist
save_path.mkdir(parents=True, exist_ok=True)
# create requests stream for steaming file
stream = requests.get(url, stream=True, allow_redirects=True)
# get file name
file_name = None
if 'content-disposition' in stream.headers:
disposition = stream.headers['content-disposition']
with contextlib.suppress(IndexError):
file_name = re.findall("filename=(.+)", disposition)[0].strip('"')
if file_name is None:
# output_file = f'{save_path}\\{stream.url.split("/")[-1]}'
output_file = save_path / stream.url.split('/')[-1]
else:
output_file = save_path / file_name
# decode url encoding
output_file = pathlib.Path(urllib.parse.unquote(str(output_file)))
# get total size for progress bar if provided in headers
total_size = 0
if 'content-length' in stream.headers:
total_size = int(stream.headers['content-length'])
# print download information summary
print(f'Downloading: {url}')
print(f'Total size: {total_size}')
print(f'Chunk size: {chunk_size}')
print(f'Saving to: {output_file}')
# Write content into file
with open(output_file, 'wb') as output:
with tqdm(total=total_size, ascii=True) as progress_bar:
for chunk in stream.iter_content(chunk_size=chunk_size):
if chunk:
output.write(chunk)
progress_bar.update(len(chunk))
# return the full path of saved file
return output_file
def pip_install(file):
""" Install python package via python pip module
pip.main() is not available after pip 9.0.1, thus
pip module is not used in this case.
"""
return subprocess.run([sys.executable, '-m', 'pip', 'install', '-U', '-r', file]).returncode
if __name__ == '__main__':
try:
# set default exit code
EXIT_CODE = 0
# get start time
start_time = time.time()
# check platform
if sys.platform != 'win32':
print('This script is currently only compatible with Windows')
EXIT_CODE = 1
sys.exit(1)
# parse command line arguments
args = parse_arguments()
print('Video2X Setup Script')
print(f'Version: {VERSION}')
# do not install pip modules if script
# is packaged in exe format
download_python_modules = True
if sys.argv[0].endswith('.exe'):
print('\nScript is packaged as exe, skipping pip module download')
download_python_modules = False
setup = Video2xSetup(args.driver, download_python_modules)
setup.run()
print('\nScript finished successfully')
except SystemExit:
pass
# if PermissionError is raised
# user needs to run this with higher privilege
except PermissionError:
traceback.print_exc()
print('You might have insufficient privilege for this script to run')
print('Try running this script with Administrator privileges')
EXIT_CODE = 1
# for any exception in the script
except Exception:
traceback.print_exc()
print('An error has occurred')
print('Video2X Automatic Setup has failed')
# in case of a failure, try cleaning up temp files
try:
setup._cleanup()
except Exception:
traceback.print_exc()
print('An error occurred while trying to cleanup files')
EXIT_CODE = 1
# regardless if script finishes successfully or not
# print script execution summary
finally:
print('Script finished')
print(f'Time taken: {timedelta(seconds=round(time.time() - start_time))}')
input('Press [ENTER] to exit script')
sys.exit(EXIT_CODE)

55
bin/waifu2x_caffe.py → src/waifu2x_caffe.py Normal file → Executable file
View File

@@ -4,15 +4,19 @@
Name: Waifu2x Caffe Driver
Author: K4YT3X
Date Created: Feb 24, 2018
Last Modified: March 30, 2019
Last Modified: October 6, 2019
Description: This class is a high-level wrapper
for waifu2x-caffe.
"""
from avalon_framework import Avalon
# built-in imports
import subprocess
import threading
# third-party imports
from avalon_framework import Avalon
class Waifu2xCaffe:
"""This class communicates with waifu2x cui engine
@@ -23,68 +27,69 @@ class Waifu2xCaffe:
the upscale function.
"""
def __init__(self, waifu2x_settings, process, model_dir):
self.waifu2x_settings = waifu2x_settings
self.waifu2x_settings['process'] = process
self.waifu2x_settings['model_dir'] = model_dir
def __init__(self, driver_settings, process, model_dir, bit_depth):
self.driver_settings = driver_settings
self.driver_settings['process'] = process
self.driver_settings['model_dir'] = model_dir
self.driver_settings['output_depth'] = bit_depth
# arguments passed through command line overwrites config file values
self.process = process
self.model_dir = model_dir
self.print_lock = threading.Lock()
def upscale(self, input_folder, output_folder, scale_ratio, scale_width, scale_height, image_format, upscaler_exceptions):
def upscale(self, input_directory, output_directory, scale_ratio, scale_width, scale_height, image_format, upscaler_exceptions):
"""This is the core function for WAIFU2X class
Arguments:
input_folder {string} -- source folder path
output_folder {string} -- output folder path
input_directory {string} -- source directory path
output_directory {string} -- output directory path
width {int} -- output video width
height {int} -- output video height
"""
try:
# overwrite config file settings
self.waifu2x_settings['input_path'] = input_folder
self.waifu2x_settings['output_path'] = output_folder
self.driver_settings['input_path'] = input_directory
self.driver_settings['output_path'] = output_directory
if scale_ratio:
self.waifu2x_settings['scale_ratio'] = scale_ratio
self.driver_settings['scale_ratio'] = scale_ratio
elif scale_width and scale_height:
self.waifu2x_settings['scale_width'] = scale_width
self.waifu2x_settings['scale_height'] = scale_height
self.driver_settings['scale_width'] = scale_width
self.driver_settings['scale_height'] = scale_height
self.waifu2x_settings['output_extention'] = image_format
self.driver_settings['output_extention'] = image_format
# print thread start message
self.print_lock.acquire()
Avalon.debug_info('[upscaler] Thread {} started'.format(threading.current_thread().name))
Avalon.debug_info(f'[upscaler] Thread {threading.current_thread().name} started')
self.print_lock.release()
# list to be executed
execute = []
# initialize the list with waifu2x binary path as the first element
execute = [str(self.driver_settings['path'])]
execute.append(self.waifu2x_settings['waifu2x_caffe_path'])
for key in self.waifu2x_settings.keys():
for key in self.driver_settings.keys():
value = self.waifu2x_settings[key]
value = self.driver_settings[key]
# is executable key or null or None means that leave this option out (keep default)
if key == 'waifu2x_caffe_path' or value is None or value is False:
if key == 'path' or value is None or value is False:
continue
else:
if len(key) == 1:
execute.append('-{}'.format(key))
execute.append(f'-{key}')
else:
execute.append('--{}'.format(key))
execute.append(f'--{key}')
execute.append(str(value))
Avalon.debug_info('Executing: {}'.format(execute))
Avalon.debug_info(f'Executing: {execute}')
completed_command = subprocess.run(execute, check=True)
# print thread exiting message
self.print_lock.acquire()
Avalon.debug_info('[upscaler] Thread {} exiting'.format(threading.current_thread().name))
Avalon.debug_info(f'[upscaler] Thread {threading.current_thread().name} exiting')
self.print_lock.release()
# return command execution return code

63
bin/waifu2x_converter.py → src/waifu2x_converter.py Normal file → Executable file
View File

@@ -4,15 +4,20 @@
Name: Waifu2x Converter CPP Driver
Author: K4YT3X
Date Created: February 8, 2019
Last Modified: March 30, 2019
Last Modified: October 6, 2019
Description: This class is a high-level wrapper
for waifu2x-converter-cpp.
"""
from avalon_framework import Avalon
# built-in imports
import pathlib
import subprocess
import threading
# third-party imports
from avalon_framework import Avalon
class Waifu2xConverter:
"""This class communicates with waifu2x cui engine
@@ -23,68 +28,60 @@ class Waifu2xConverter:
the upscale function.
"""
def __init__(self, waifu2x_settings, model_dir):
self.waifu2x_settings = waifu2x_settings
self.waifu2x_settings['model_dir'] = model_dir
def __init__(self, driver_settings, model_dir):
self.driver_settings = driver_settings
self.driver_settings['model_dir'] = model_dir
self.print_lock = threading.Lock()
def upscale(self, input_folder, output_folder, scale_ratio, jobs, image_format, upscaler_exceptions):
def upscale(self, input_directory, output_directory, scale_ratio, jobs, image_format, upscaler_exceptions):
""" Waifu2x Converter Driver Upscaler
This method executes the upscaling of extracted frames.
Arguments:
input_folder {string} -- source folder path
output_folder {string} -- output folder path
input_directory {string} -- source directory path
output_directory {string} -- output directory path
scale_ratio {int} -- frames' scale ratio
threads {int} -- number of threads
"""
try:
# overwrite config file settings
self.waifu2x_settings['input'] = input_folder
self.waifu2x_settings['output'] = output_folder
# temporary fix for https://github.com/DeadSix27/waifu2x-converter-cpp/issues/109
"""
self.waifu2x_settings['i'] = input_folder
self.waifu2x_settings['o'] = output_folder
self.waifu2x_settings['input'] = None
self.waifu2x_settings['output'] = None
"""
self.waifu2x_settings['scale-ratio'] = scale_ratio
self.waifu2x_settings['jobs'] = jobs
self.waifu2x_settings['output-format'] = image_format
self.driver_settings['input'] = input_directory
self.driver_settings['output'] = output_directory
self.driver_settings['scale-ratio'] = scale_ratio
self.driver_settings['jobs'] = jobs
self.driver_settings['output-format'] = image_format
# models_rgb must be specified manually for waifu2x-converter-cpp
# if it's not specified in the arguments, create automatically
if self.waifu2x_settings['model-dir'] is None:
self.waifu2x_settings['model-dir'] = '{}\\models_rgb'.format(self.waifu2x_settings['waifu2x_converter_path'])
if self.driver_settings['model-dir'] is None:
self.driver_settings['model-dir'] = pathlib.Path(self.driver_settings['waifu2x_converter_path']) / 'models_rgb'
# print thread start message
self.print_lock.acquire()
Avalon.debug_info('[upscaler] Thread {} started'.format(threading.current_thread().name))
Avalon.debug_info(f'[upscaler] Thread {threading.current_thread().name} started')
self.print_lock.release()
# list to be executed
execute = []
# initialize the list with waifu2x binary path as the first element
execute = [str(pathlib.Path(self.driver_settings['path']) / 'waifu2x-converter-cpp.exe')]
for key in self.waifu2x_settings.keys():
for key in self.driver_settings.keys():
value = self.waifu2x_settings[key]
value = self.driver_settings[key]
# the key doesn't need to be passed in this case
if key == 'waifu2x_converter_path':
execute.append('{}\\waifu2x-converter-cpp.exe'.format(str(value)))
if key == 'path':
continue
# null or None means that leave this option out (keep default)
elif value is None or value is False:
continue
else:
if len(key) == 1:
execute.append('-{}'.format(key))
execute.append(f'-{key}')
else:
execute.append('--{}'.format(key))
execute.append(f'--{key}')
# true means key is an option
if value is True:
@@ -92,7 +89,7 @@ class Waifu2xConverter:
execute.append(str(value))
Avalon.debug_info('Executing: {}'.format(execute))
Avalon.debug_info(f'Executing: {execute}')
return subprocess.run(execute, check=True).returncode
except Exception as e:

94
src/waifu2x_ncnn_vulkan.py Executable file
View File

@@ -0,0 +1,94 @@
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Name: Waifu2x NCNN Vulkan Driver
Creator: SAT3LL
Date Created: June 26, 2019
Last Modified: November 15, 2019
Editor: K4YT3X
Last Modified: January 4, 2020
Description: This class is a high-level wrapper
for waifu2x_ncnn_vulkan.
"""
# built-in imports
import os
import subprocess
import threading
# third-party imports
from avalon_framework import Avalon
class Waifu2xNcnnVulkan:
"""This class communicates with waifu2x ncnn vulkan engine
An object will be created for this class, containing information
about the binary address and the processing method. When being called
by the main program, other detailed information will be passed to
the upscale function.
"""
def __init__(self, driver_settings):
self.driver_settings = driver_settings
# arguments passed through command line overwrites config file values
# waifu2x_ncnn_vulkan can't find its own model directory if its not in the current dir
# so change to it
os.chdir(os.path.join(self.driver_settings['path'], '..'))
self.print_lock = threading.Lock()
def upscale(self, input_directory, output_directory, scale_ratio, upscaler_exceptions):
"""This is the core function for WAIFU2X class
Arguments:
input_directory {string} -- source directory path
output_directory {string} -- output directory path
ratio {int} -- output video ratio
"""
try:
# overwrite config file settings
self.driver_settings['i'] = input_directory
self.driver_settings['o'] = output_directory
self.driver_settings['s'] = int(scale_ratio)
# print thread start message
self.print_lock.acquire()
Avalon.debug_info(f'[upscaler] Thread {threading.current_thread().name} started')
self.print_lock.release()
# list to be executed
# initialize the list with waifu2x binary path as the first element
execute = [str(self.driver_settings['path'])]
for key in self.driver_settings.keys():
value = self.driver_settings[key]
# is executable key or null or None means that leave this option out (keep default)
if key == 'path' or value is None or value is False:
continue
else:
if len(key) == 1:
execute.append(f'-{key}')
else:
execute.append(f'--{key}')
execute.append(str(value))
Avalon.debug_info(f'Executing: {execute}')
completed_command = subprocess.run(execute, check=True)
# print thread exiting message
self.print_lock.acquire()
Avalon.debug_info(f'[upscaler] Thread {threading.current_thread().name} exiting')
self.print_lock.release()
# return command execution return code
return completed_command.returncode
except Exception as e:
upscaler_exceptions.append(e)