How can i run it in a realtime image

[stiglioglu]

How can i run it in a realtime image

[voldemortX]

@stiglioglu We don't have camera APIs, if that is what you want.

I think your use case is similar to a video input? We have a video-inference-visualize pipeline:

https://github.com/voldemortX/pytorch-auto-drive/blob/master/docs/VISUALIZATION.md#segmentation-mask-video

[stiglioglu]

Thank you for your answer. I want to run on ros camera topic. How can I run on snapshot eg image from webcam.

[voldemortX]

The general method is read the image, make the testing transforms (e.g., resize), then inference, finally apply specific post-processings. For some lane detection methods, they already have a inference() method, which includes the post-process.

An lane example is

pytorch-auto-drive/utils/runners/lane_det_visualizer.py

Line 153 in 9ec8172

class LaneDetVideo(BaseVideoVisualizer, LaneDetVisualizer):

[stiglioglu]

where do you read the video frames can you help me i couldn't find it

[voldemortX]

where do you read the video frames can you help me i couldn't find it

We use a torch style dataloader for video reading:
https://github.com/voldemortX/pytorch-auto-drive/blob/master/utils/datasets/video.py