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https://github.com/k4yt3x/video2x.git
synced 2026-02-04 03:22:07 +08:00
208 lines
6.2 KiB
C++
208 lines
6.2 KiB
C++
#include "filter_realcugan.h"
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#include <cstdint>
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#include <cstdio>
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#include <filesystem>
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#include <spdlog/spdlog.h>
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#include "conversions.h"
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#include "fsutils.h"
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#include "logger_manager.h"
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namespace video2x {
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namespace processors {
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FilterRealcugan::FilterRealcugan(
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int gpuid,
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bool tta_mode,
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int scaling_factor,
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int noise_level,
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int num_threads,
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int syncgap,
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const fsutils::StringType model_name
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)
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: realcugan_(nullptr),
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gpuid_(gpuid),
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tta_mode_(tta_mode),
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scaling_factor_(scaling_factor),
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noise_level_(noise_level),
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num_threads_(num_threads),
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syncgap_(syncgap),
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model_name_(std::move(model_name)) {}
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FilterRealcugan::~FilterRealcugan() {
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delete realcugan_;
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realcugan_ = nullptr;
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}
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int FilterRealcugan::init(AVCodecContext* dec_ctx, AVCodecContext* enc_ctx, AVBufferRef*) {
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// Construct the model paths using std::filesystem
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std::filesystem::path model_param_path;
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std::filesystem::path model_bin_path;
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fsutils::StringType model_base_name =
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STR("up") + fsutils::to_string_type(scaling_factor_) + STR("x-");
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switch (noise_level_) {
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case -1:
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model_base_name += STR("conservative");
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break;
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case 0:
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model_base_name += STR("no-denoise");
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break;
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default:
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model_base_name += STR("denoise") + fsutils::to_string_type(noise_level_) + STR("x");
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break;
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}
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fsutils::StringType param_file_name = model_base_name + STR(".param");
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fsutils::StringType bin_file_name = model_base_name + STR(".bin");
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// Find the model paths by model name if provided
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model_param_path =
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std::filesystem::path(STR("models")) / STR("realcugan") / model_name_ / param_file_name;
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model_bin_path =
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std::filesystem::path(STR("models")) / STR("realcugan") / model_name_ / bin_file_name;
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// Get the full paths using a function that possibly modifies or validates the path
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std::optional<std::filesystem::path> model_param_full_path =
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fsutils::find_resource(model_param_path);
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std::optional<std::filesystem::path> model_bin_full_path =
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fsutils::find_resource(model_bin_path);
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// Check if the model files exist
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if (!model_param_full_path.has_value()) {
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logger()->error("Real-CUGAN model param file not found: {}", model_param_path.u8string());
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return -1;
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}
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if (!model_bin_full_path.has_value()) {
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logger()->error("Real-CUGAN model bin file not found: {}", model_bin_path.u8string());
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return -1;
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}
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// Create a new Real-CUGAN instance
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realcugan_ = new RealCUGAN(gpuid_, tta_mode_, num_threads_);
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// Store the time bases
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in_time_base_ = dec_ctx->time_base;
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out_time_base_ = enc_ctx->time_base;
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out_pix_fmt_ = enc_ctx->pix_fmt;
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// Load the model
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if (realcugan_->load(model_param_full_path.value(), model_bin_full_path.value()) != 0) {
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logger()->error("Failed to load Real-CUGAN model");
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return -1;
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}
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// Set syncgap to 0 for models-nose
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if (model_name_.find(STR("models-nose")) != fsutils::StringType::npos) {
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syncgap_ = 0;
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}
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// Set realcugan parameters
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realcugan_->scale = scaling_factor_;
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realcugan_->noise = noise_level_;
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realcugan_->prepadding = 10;
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// Set prepadding based on scaling factor
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if (scaling_factor_ == 2) {
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realcugan_->prepadding = 18;
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}
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if (scaling_factor_ == 3) {
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realcugan_->prepadding = 14;
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}
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if (scaling_factor_ == 4) {
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realcugan_->prepadding = 19;
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}
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// Calculate tilesize based on GPU heap budget
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uint32_t heap_budget = ncnn::get_gpu_device(gpuid_)->get_heap_budget();
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if (scaling_factor_ == 2) {
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if (heap_budget > 1300) {
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realcugan_->tilesize = 400;
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} else if (heap_budget > 800) {
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realcugan_->tilesize = 300;
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} else if (heap_budget > 400) {
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realcugan_->tilesize = 200;
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} else if (heap_budget > 200) {
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realcugan_->tilesize = 100;
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} else {
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realcugan_->tilesize = 32;
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}
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}
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if (scaling_factor_ == 3) {
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if (heap_budget > 3300) {
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realcugan_->tilesize = 400;
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} else if (heap_budget > 1900) {
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realcugan_->tilesize = 300;
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} else if (heap_budget > 950) {
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realcugan_->tilesize = 200;
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} else if (heap_budget > 320) {
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realcugan_->tilesize = 100;
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} else {
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realcugan_->tilesize = 32;
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}
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}
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if (scaling_factor_ == 4) {
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if (heap_budget > 1690) {
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realcugan_->tilesize = 400;
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} else if (heap_budget > 980) {
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realcugan_->tilesize = 300;
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} else if (heap_budget > 530) {
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realcugan_->tilesize = 200;
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} else if (heap_budget > 240) {
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realcugan_->tilesize = 100;
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} else {
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realcugan_->tilesize = 32;
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}
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}
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return 0;
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}
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int FilterRealcugan::filter(AVFrame* in_frame, AVFrame** out_frame) {
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int ret;
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// Convert the input frame to RGB24
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ncnn::Mat in_mat = conversions::avframe_to_ncnn_mat(in_frame);
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if (in_mat.empty()) {
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logger()->error("Failed to convert AVFrame to ncnn::Mat");
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return -1;
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}
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// Allocate space for output ncnn::Mat
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int output_width = in_mat.w * realcugan_->scale;
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int output_height = in_mat.h * realcugan_->scale;
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ncnn::Mat out_mat = ncnn::Mat(output_width, output_height, static_cast<size_t>(3), 3);
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ret = realcugan_->process(in_mat, out_mat);
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if (ret != 0) {
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logger()->error("Real-CUGAN processing failed");
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return ret;
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}
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// Convert ncnn::Mat to AVFrame
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*out_frame = conversions::ncnn_mat_to_avframe(out_mat, out_pix_fmt_);
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// Rescale PTS to encoder's time base
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(*out_frame)->pts = av_rescale_q(in_frame->pts, in_time_base_, out_time_base_);
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// Return the processed frame to the caller
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return ret;
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}
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void FilterRealcugan::get_output_dimensions(
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const ProcessorConfig&,
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int in_width,
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int in_height,
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int& out_width,
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int& out_height
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) const {
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out_width = in_width * scaling_factor_;
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out_height = in_height * scaling_factor_;
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}
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} // namespace processors
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} // namespace video2x
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