video_threaded.py sample now uses multiprocessing module's ThreadPool

samples/python2/video_threaded.py

@@ -1,63 +1,29 @@
 import numpy as np
 import cv2
 
-from Queue import Queue
+from multiprocessing.pool import ThreadPool
-from threading import Thread
 from collections import deque
 
-class Worker(Thread):
-    def __init__(self, tasks):
-        Thread.__init__(self)
-        self.tasks = tasks
-        self.daemon = True
-        self.start()
-    
-    def run(self):
-        while True:
-            func, args, kargs = self.tasks.get()
-            try: func(*args, **kargs)
-            except Exception, e: print e
-            self.tasks.task_done()
-
-class ThreadPool:
-    def __init__(self, num_threads):
-        self.tasks = Queue(num_threads)
-        for _ in range(num_threads): Worker(self.tasks)
-
-    def add_task(self, func, *args, **kargs):
-        self.tasks.put((func, args, kargs))
-
-    def wait_completion(self):
-        self.tasks.join()
 
 if __name__ == '__main__':
-    results = deque()
+    def process_frame(frame):
-
+        # some intensive computation...
-    def process_frame(i, frame):
+        frame = cv2.medianBlur(frame, 19)
-        global results
+        frame = cv2.medianBlur(frame, 19)
-        res = cv2.medianBlur(frame, 15)
+        frame = cv2.medianBlur(frame, 19)
-        results.append((i, res))
+        return frame
-    
+
-    pool = ThreadPool(4)
+    threadn = 8
     cap = cv2.VideoCapture(0)
-    frame_count = 0
+    pool = ThreadPool(processes = threadn)
-    last_frame = None
+    pending = deque()
-    last_count = -1
     while True:
-        ret, frame = cap.read()
+        while len(pending) > 0 and pending[0].ready():
-        pool.add_task(process_frame, frame_count, frame.copy())
+            res = pending.popleft().get()
-        frame_count += 1
+            cv2.imshow('result', res)
-        while len(results) > 0:
+        if len(pending) < threadn+1:
-            i, frame = results.popleft()
+            ret, frame = cap.read()
-            if i > last_count:
+            task = pool.apply_async(process_frame, (frame.copy(),))
-                last_count, last_frame = i, frame
+            pending.append(task)
-        if last_frame is not None:
-            cv2.imshow('res', last_frame)
         if cv2.waitKey(1) == 27:
             break
-
-    pool.wait_completion()
-
-
-
-