webcam segmentation video feed is not running

[Muthukumar4796]

import numpy as np from argparse import ArgumentParser import cv2 from mmengine.model.utils import revert_sync_batchnorm from mmseg.apis import inference_model, init_model from mmseg.apis.inference import show_result_pyplot

def main(): parser = ArgumentParser() parser.add_argument('video', help='Video file or webcam id') parser.add_argument('config', help='Config file') parser.add_argument('checkpoint', help='Checkpoint file') parser.add_argument('--device', default='cuda:0', help='Device used for inference') parser.add_argument('--palette', default='cityscapes', help='Color palette used for segmentation map') parser.add_argument('--show', action='store_true', help='Whether to show draw result') parser.add_argument('--show-wait-time', default=1, type=int, help='Wait time after imshow') parser.add_argument('--output-file', default=None, type=str, help='Output video file path') parser.add_argument('--output-fourcc', default='MJPG', type=str, help='Fourcc of the output video') parser.add_argument('--output-fps', default=-1, type=int, help='FPS of the output video') parser.add_argument('--output-height', default=-1, type=int, help='Frame height of the output video') parser.add_argument('--output-width', default=-1, type=int, help='Frame width of the output video') parser.add_argument('--opacity', type=float, default=0.5, help='Opacity of painted segmentation map. In (0, 1] range.') args = parser.parse_args()

assert args.show or args.output_file, 'At least one output should be enabled.'

# build the model from a config file and a checkpoint file
model = init_model(args.config, args.checkpoint, device=args.device)
if args.device == 'cpu':
    model = revert_sync_batchnorm(model)

# build input video
if args.video.isdigit():
    args.video = int(args.video)
else:
    args.video = 0  # Assuming 0 represents the webcam
cap = cv2.VideoCapture(args.video)
assert (cap.isOpened())
input_height = cap.get(cv2.CAP_PROP_FRAME_HEIGHT)
input_width = cap.get(cv2.CAP_PROP_FRAME_WIDTH)
input_fps = cap.get(cv2.CAP_PROP_FPS)

# init output video
writer = None
output_height = None
output_width = None
if args.output_file is not None:
    fourcc = cv2.VideoWriter_fourcc(*args.output_fourcc)
    output_fps = args.output_fps if args.output_fps > 0 else input_fps
    output_height = args.output_height if args.output_height > 0 else int(input_height)
    output_width = args.output_width if args.output_width > 0 else int(input_width)
    writer = cv2.VideoWriter(args.output_file, fourcc, output_fps, (output_width, output_height), True)

# start looping
try:
    while True:
        flag, frame = cap.read()
        if not flag:
            break

        # test a single image
        result = inference_model(model, frame)

        # blend raw image and prediction
        draw_img = show_result_pyplot(model, frame, result)

        if args.show:
            cv2.imshow('video_demo', draw_img)
            key = cv2.waitKey(args.show_wait_time)
            if key == 27:  # If 'Esc' key is pressed, break from the loop
                break

        if writer:
            if draw_img.shape[0] != output_height or draw_img.shape[1] != output_width:
                draw_img = cv2.resize(draw_img, (output_width, output_height))
            writer.write(draw_img)
finally:
    if writer:
        writer.release()
    cap.release()

if name == 'main': main() --I'm using this code for a webcam demo, using this command == python3 video_demo.py 0 /home/muthukumar/mymaskrcnn/mmsegmentation/pspnet_r50-d8_4xb2-40k_cityscapes-512x1024.py /home/muthukumar/mymaskrcnn/mmsegmentation/pspnet_r50-d8_512x1024_40k_cityscapes_20200605_003338-2966598c.pth --show "The video feed is not functioning but web cam is running.

Could you kindly help me with this?