renamed bin to src since python isn't binary

src/image_cleaner.py

@@ -0,0 +1,76 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+Name: Video2X Image Cleaner
+Author: BrianPetkovsek
+Author: K4YT3X
+Date Created: March 24, 2019
+Last Modified: July 27, 2019
+
+Description: This class is to remove the extracted frames
+that have already been upscaled.
+"""
+
+# built-in imports
+import threading
+import time
+
+
+class ImageCleaner(threading.Thread):
+    """ Video2X Image Cleaner
+
+    This class creates an object that keeps track of extracted
+    frames that has already been upscaled and are not needed
+    anymore. It then deletes them to save disk space.
+
+    Extends:
+        threading.Thread
+    """
+
+    def __init__(self, input_directory, output_directory, threads):
+        threading.Thread.__init__(self)
+        self.input_directory = input_directory
+        self.output_directory = output_directory
+        self.threads = threads
+        self.running = False
+
+    def run(self):
+        """ Run image cleaner
+        """
+        self.running = True
+
+        while self.running:
+            self.remove_upscaled_frames()
+            time.sleep(1)
+
+    def stop(self):
+        """ Stop the image cleaner
+        """
+        self.running = False
+        self.join()
+
+    def remove_upscaled_frames(self):
+        """ remove frames that have already been upscaled
+
+        This method compares the files in the extracted frames
+        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 self.output_directory.iterdir() if f.is_file()]
+
+        # compare and remove frames downscaled images that finished being upscaled
+        # 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 directories
+            for file in dir_path.iterdir():
+                file_path = dir_path / file
+
+                # if file also exists in the output directory, then the file
+                # has already been processed, thus not needed anymore
+                if file_path.is_file() and file in output_frames:
+                    file_path.unlink(file)
+                    output_frames.remove(file)