opencv/samples/python2/video_threaded.py
2012-05-24 15:40:55 +00:00

64 lines
1.6 KiB
Python

import numpy as np
import cv2
from Queue import Queue
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(i, frame):
global results
res = cv2.medianBlur(frame, 15)
results.append((i, res))
pool = ThreadPool(4)
cap = cv2.VideoCapture(0)
frame_count = 0
last_frame = None
last_count = -1
while True:
ret, frame = cap.read()
pool.add_task(process_frame, frame_count, frame.copy())
frame_count += 1
while len(results) > 0:
i, frame = results.popleft()
if i > last_count:
last_count, last_frame = i, frame
if last_frame is not None:
cv2.imshow('res', last_frame)
if cv2.waitKey(1) == 27:
break
pool.wait_completion()