您可以从p1.stdout 读取解码后的帧，将其转换为 NumPy 数组，然后对其进行整形。
-
更改command 以获取rawvideo 格式和BGR 像素格式的解码帧：
command = ['C:/ffmpeg/bin/ffmpeg.exe',
'-rtsp_flags', 'listen',
'-i', 'rtsp://192.168.1.xxxx:5555/live.sdp?tcp?',
'-f', 'image2pipe', # Use image2pipe demuxer
'-pix_fmt', 'bgr24', # Set BGR pixel format
'-vcodec', 'rawvideo', # Get rawvideo output format.
'-']
-
从p1.stdout读取原始视频帧：
raw_frame = p1.stdout.read(width*height*3)
-
将读取的字节转换为 NumPy 数组，并将其重塑为视频帧尺寸：
frame = np.fromstring(raw_frame, np.uint8)
frame = frame.reshape((height, width, 3))
现在您可以显示调用cv2.imshow('image', frame) 的框架。
该解决方案假设您事先知道视频帧大小（width 和 height）。
下面的代码示例包括使用cv2.VideoCapture 读取width 和height 的部分，但我不确定它是否适用于您的情况（由于'-rtsp_flags', 'listen'。（如果它确实有效） ，您可以尝试使用 OpenCV 而不是 FFmpeg 进行捕获）。
以下代码是使用公共 RTSP 流进行测试的完整“工作示例”：
import cv2
import numpy as np
import subprocess
# Use public RTSP Stream for testing
in_stream = 'rtsp://wowzaec2demo.streamlock.net/vod/mp4:BigBuckBunny_115k.mov'
if False:
# Read video width, height and framerate using OpenCV (use it if you don't know the size of the video frames).
# Use public RTSP Streaming for testing:
cap = cv2.VideoCapture(in_stream)
framerate = cap.get(5) #frame rate
# Get resolution of input video
width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))
height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))
# Release VideoCapture - it was used just for getting video resolution
cap.release()
else:
# Set the size here, if video frame size is known
width = 240
height = 160
command = ['C:/ffmpeg/bin/ffmpeg.exe',
#'-rtsp_flags', 'listen', # The "listening" feature is not working (probably because the stream is from the web)
'-rtsp_transport', 'tcp', # Force TCP (for testing)
'-max_delay', '30000000', # 30 seconds (sometimes needed because the stream is from the web).
'-i', in_stream,
'-f', 'image2pipe',
'-pix_fmt', 'bgr24',
'-vcodec', 'rawvideo', '-an', '-']
# Open sub-process that gets in_stream as input and uses stdout as an output PIPE.
p1 = subprocess.Popen(command, stdout=subprocess.PIPE)
while True:
# read width*height*3 bytes from stdout (1 frame)
raw_frame = p1.stdout.read(width*height*3)
if len(raw_frame) != (width*height*3):
print('Error reading frame!!!') # Break the loop in case of an error (too few bytes were read).
break
# Convert the bytes read into a NumPy array, and reshape it to video frame dimensions
frame = np.fromstring(raw_frame, np.uint8)
frame = frame.reshape((height, width, 3))
# Show video frame
cv2.imshow('image', frame)
cv2.waitKey(1)
# Wait one more second and terminate the sub-process
try:
p1.wait(1)
except (sp.TimeoutExpired):
p1.terminate()
cv2.destroyAllWindows()
示例框架（仅供娱乐）：
更新：
使用FFprobe读取宽度和高度：
当您事先不知道视频分辨率时，您可以使用 FFprobe 获取信息。
这是使用 FFprobe 读取 width 和 height 的代码示例：
import subprocess
import json
# Use public RTSP Stream for testing
in_stream = 'rtsp://wowzaec2demo.streamlock.net/vod/mp4:BigBuckBunny_115k.mov'
probe_command = ['C:/ffmpeg/bin/ffprobe.exe',
'-loglevel', 'error',
'-rtsp_transport', 'tcp', # Force TCP (for testing)]
'-select_streams', 'v:0', # Select only video stream 0.
'-show_entries', 'stream=width,height', # Select only width and height entries
'-of', 'json', # Get output in JSON format
in_stream]
# Read video width, height using FFprobe:
p0 = subprocess.Popen(probe_command, stdout=subprocess.PIPE)
probe_str = p0.communicate()[0] # Reading content of p0.stdout (output of FFprobe) as string
p0.wait()
probe_dct = json.loads(probe_str) # Convert string from JSON format to dictonary.
# Get width and height from the dictonary
width = probe_dct['streams'][0]['width']
height = probe_dct['streams'][0]['height']