Created a multithreading way to process images

imager.py

@@ -3,11 +3,11 @@
 from PyQt5 import Qt, QtWidgets
 from PyQt5.QtGui import QPixmap
 from PyQt5.QtWidgets import QFileDialog
-from boundaries import BoundariesOperation
-from semantic_segmentation import SemanticSegmentation
 from mainwindow import *
 from operation import qpixmap_to_pil_image
 from operation import image_to_qimage
+from boundaries import BoundariesOperation
+from semantic_segmentation import SemanticSegmentation
 from saliency import Saliency
 from face_recognition_ import FaceRecognition
 

multiprocessing.py

@@ -0,0 +1,34 @@
+import threading
+from multiprocessing import Queue
+from PIL import Image
+from boundaries import BoundariesOperation
+
+class Worker(threading.Thread):
+    def __init__(self, work_queue, func):
+        super(Worker, self).__init__()
+        self.work_queue = work_queue
+        self.func = func
+
+    def run(self):
+        try:
+            filename = self.work_queue.get()
+            self.process(filename)
+        finally:
+            pass
+
+    def process(self, filename):
+        savenamelist = filename.split('.')
+        savename = savenamelist[0] + '_out' + filename[1]
+        image = Image.open(filename)
+        out_image = self.func(image)
+        out_image.save(savename)
+
+def execute_processing(filelist, func):
+    work_queue = Queue()
+    for filename in filelist:
+        work_queue.put(filename)
+    for i in range(4):
+        worker = Worker(work_queue, func)
+        worker.start()
+
+