Question:

How to read frame from ffmpeg subprocess in Python?

To read frames from a video using ffmpeg as a subprocess in Python, you can use the subprocess module to execute the ffmpeg command and read the video frames from its stdout. You'll also need a library like OpenCV to work with the frames. Here's a code snippet to get you started:

import cv2

import subprocess

import numpy as np

# Define the FFmpeg command to read frames from a video file.

ffmpeg_cmd = [

'ffmpeg',

'-i', 'input_video.mp4', # Replace 'input_video.mp4' with your video file.

'-f', 'image2pipe',

'-pix_fmt', 'bgr24',

'-vcodec', 'rawvideo', '-'

]

# Open the FFmpeg subprocess.

ffmpeg_process = subprocess.Popen(ffmpeg_cmd, stdout=subprocess.PIPE, bufsize=10**8)

while True:

# Read a single frame as a binary string.

raw_frame = ffmpeg_process.stdout.read(1920 * 1080 * 3) # Adjust buffer size accordingly.

if not raw_frame:

break

# Convert the binary string to a NumPy array.

frame = np.frombuffer(raw_frame, dtype=np.uint8)

frame = frame.reshape((1080, 1920, 3)) # Adjust dimensions based on your video resolution.

# Display or process the frame as needed.

cv2.imshow('Video Frame', frame)

# Exit when the user presses 'q'.

if cv2.waitKey(1) & 0xFF == ord('q'):

break

# Release resources and close the OpenCV window.

ffmpeg_process.stdout.close()

ffmpeg_process.wait()

cv2.destroyAllWindows()

Make sure to replace 'input_video.mp4' with the path to your video file. This code will continuously read frames from the video and display them using OpenCV's imshow function. Press 'q' to exit the video playback loop.

Remember to install OpenCV (opencv-python) and ensure that ffmpeg is installed and available in your system's PATH.

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