In the context of indistural project, i developed a real time application to detect person with AI algorithms. In local i get and display videos with OPENCV operating with frames.
The objective is to realise a stream video from frames of Opencv to rtmp server
FFmpeg seems a good perspective. However, often the stream strats from .mp4 or several .jpg to publish stream video on rtmp server.
Thank you.
Firstly ffmpeg is functional for pushing stream to rtmp server. you can try create a subprocess for ffmpeg cammand, and pass your frames through PIPE.
Here is an simple example code you can try
import subprocess
import cv2
rtmp_url = "rtmp://127.0.0.1:1935/stream/pupils_trace"
# In my mac webcamera is 0, also you can set a video file name instead, for example "/home/user/demo.mp4"
path = 0
cap = cv2.VideoCapture(path)
# gather video info to ffmpeg
fps = int(cap.get(cv2.CAP_PROP_FPS))
width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))
height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))
# command and params for ffmpeg
command = ['ffmpeg',
'-y',
'-f', 'rawvideo',
'-vcodec', 'rawvideo',
'-pix_fmt', 'bgr24',
'-s', "{}x{}".format(width, height),
'-r', str(fps),
'-i', '-',
'-c:v', 'libx264',
'-pix_fmt', 'yuv420p',
'-preset', 'ultrafast',
'-f', 'flv',
rtmp_url]
# using subprocess and pipe to fetch frame data
p = subprocess.Popen(command, stdin=subprocess.PIPE)
while cap.isOpened():
ret, frame = cap.read()
if not ret:
print("frame read failed")
break
# YOUR CODE FOR PROCESSING FRAME HERE
# write to pipe
p.stdin.write(frame.tobytes())