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import ffmpeg
import numpy as np
from dora import Node
import pyarrow as pa
import cv2
node = Node()
in_filename = "tcp://192.168.2.1:40921"
# Global variables, change it to adapt your needs
CAMERA_WIDTH = 960
CAMERA_HEIGHT = 540
process1 = (
ffmpeg.input(in_filename)
.output("pipe:", format="rawvideo", pix_fmt="rgb24")
.run_async(pipe_stdout=True)
)
audio = ffmpeg.input(in_filename).audio
while True:
in_bytes = process1.stdout.read(1280 * 720 * 3)
if not in_bytes:
break
in_frame = np.frombuffer(in_bytes, np.uint8).reshape([720, 1280, 3])
## RGB to BGR
in_frame = in_frame[..., ::-1]
in_frame = cv2.resize(in_frame, (CAMERA_WIDTH, CAMERA_HEIGHT))
# out_frame = in_frame * 0.5 # do some processing
node.send_output("image", pa.array(in_frame.ravel()))
node.send_output("audio", pa.array(in_frame.ravel()))
process1.wait()
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