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Python 卡在 pipe.stdin.write(image.tostring())

[英]Python gets stuck at pipe.stdin.write(image.tostring())

I am reading each frame of video and adding time stamp to it as given below.我正在阅读视频的每一帧并为其添加时间戳,如下所示。

command = ['ffmpeg',
            '-y', # (optional) overwrite output file if it exists
            '-f', 'rawvideo', #Input is raw video
            '-pix_fmt', 'bgr24', #Raw video format
            '-s', str(int(width)) + 'x' + str(int(height)), # size of one frame
            '-i', '-', # The input comes from a pipe
            '-an', # Tells FFMPEG not to expect any audio
            '-vcodec', 'mpeg4',
            '-b:v', '10M', #Sets a maximum bit rate
            Output_name]
    #Open the pipe
    pipe = sp.Popen(command, stdin=sp.PIPE, stderr=sp.PIPE)

    print('Processing....')
    print(' ')
    #Reads through each frame, calculates the timestamp, places it on the frame and exports the frame to the output video.
    #import pdb
    #pdb.set_trace()
    while current_frame < total_frames:
        success, image = video.read()
        if success:
            elapsed_time = video.get(cv2.CAP_PROP_POS_MSEC)
            current_frame = video.get(cv2.CAP_PROP_POS_FRAMES)
            timestamp = initial + dt.timedelta(microseconds = elapsed_time*1000)
            cv2.putText(image, 'Date: ' + str(timestamp)[0:10], (50,int(height-150)), cv2.FONT_HERSHEY_COMPLEX_SMALL, 2, (255, 255, 255), 3)
            cv2.putText(image, 'Time: ' + str(timestamp)[11:-4], (50,int(height-100)), cv2.FONT_HERSHEY_COMPLEX_SMALL, 2, (255, 255, 255), 3)
            pipe.stdin.write(image.tostring())
            print('frame number',current_frame)
        else:
            print('video reader fail')    
    video.release()
    pipe.stdin.close()
    pipe.stderr.close()

However, after around 18k frames, Python gets stuck at 'pipe.stdin.write(image.tostring())'.然而,在大约 18k 帧之后,Python 卡在了 'pipe.stdin.write(image.tostring())'。 It does not produce any error, but simply hangs.它不会产生任何错误,只是挂起。 How to resolve this issue?如何解决这个问题?

Thanks in advance.提前致谢。

I think I solved the puzzle:我想我解决了这个难题:

stderr buffer is filled up and the process gets stuck. stderr缓冲区已满,进程卡住。
I managed to reproduce the problem under Windows 10.我设法在 Windows 10 下重现了该问题。

  • FFmpeg writes statuses to stderr from time to time. FFmpeg 不时将状态写入stderr
  • You are using stderr=sp.PIPE , but not reading from stderr .您正在使用stderr=sp.PIPE ,但未从stderr读取。
  • After encoding many frames, the stderr buffer filled up, and the process gets stuck.编码许多帧后, stderr缓冲区已满,进程卡住了。

You may either remove stderr=sp.PIPE , or making sure to read the data from stderr .您可以删除stderr=sp.PIPE ,或者确保从stderr读取数据。

Reading data from stderr may be preformed using a Thread:可以使用线程从stderr读取数据:

# Read from pipe.stdrr for "draining the pipe"
def drain_stderr():
    while True:
        try:
            stderr_output = pipe.stderr.readline()
        except:
            pass

I created a "self contained" code sample that generates synthetic video file, and executes the code using the synthetic video as input.我创建了一个生成合成视频文件的“自包含”代码示例,并使用合成视频作为输入来执行代码。

Here is the testing code sample:这是测试代码示例:

import numpy as np
import cv2
import subprocess as sp
import threading
import datetime as dt

# Generate synthetic video file - resolution 640x480, 30000 frames, 1 fps
# H.264 encoded video (for testing):
#########################################################################
input_name = 'test.mp4'
width, height = 640, 480
total_frames = 30000
sp.run('ffmpeg -y -f lavfi -i testsrc=size={}x{}:rate=1 -vcodec libx264 -crf 23 -t {} {}'.format(width, height, total_frames, input_name))
#########################################################################


# Read from pipe.stdrr for "draining the pipe"
def drain_stderr():
    while keep_drain_stderr:
        try:
            stderr_output = pipe.stderr.readline()
        except:
            pass


Output_name = 'out.mp4'

command = ['ffmpeg',
            '-y', # (optional) overwrite output file if it exists
            '-f', 'rawvideo', #Input is raw video
            '-pix_fmt', 'bgr24', #Raw video format
            '-s', str(int(width)) + 'x' + str(int(height)), # size of one frame
            '-i', '-', # The input comes from a pipe
            '-an', # Tells FFMPEG not to expect any audio
            '-vcodec', 'mpeg4',
            '-b:v', '10M', #Sets a maximum bit rate
            Output_name]

# Open the pipe
pipe = sp.Popen(command, stdin=sp.PIPE, stderr=sp.PIPE)

keep_drain_stderr = True
thread = threading.Thread(target=drain_stderr)
thread.start()


# Open video file for reading
video = cv2.VideoCapture(input_name)

print('Processing....')
print(' ')

#Reads through each frame, calculates the timestamp, places it on the frame and exports the frame to the output video.
#import pdb
#pdb.set_trace()
initial = dt.timedelta(microseconds=0*1000)
current_frame = 0
while current_frame < total_frames:
    success, image = video.read()
    if success:
        elapsed_time = video.get(cv2.CAP_PROP_POS_MSEC)
        current_frame = video.get(cv2.CAP_PROP_POS_FRAMES)
        timestamp = initial + dt.timedelta(microseconds=elapsed_time*1000)
        cv2.putText(image, 'Date: ' + str(timestamp)[0:10], (50,int(height-150)), cv2.FONT_HERSHEY_COMPLEX_SMALL, 2, (255, 255, 255), 3)
        cv2.putText(image, 'Time: ' + str(timestamp)[11:-4], (50,int(height-100)), cv2.FONT_HERSHEY_COMPLEX_SMALL, 2, (255, 255, 255), 3)
        pipe.stdin.write(image.tostring())

        print('frame number', current_frame)
    else:
        print('video reader fail')

keep_drain_stderr = False
video.release()
pipe.stdin.close()
pipe.stderr.close()

#Wait 3 seconds before killing FFmpeg
try:
    pipe.wait(3)
except (sp.TimeoutExpired):
    pipe.kill()

thread.join()

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