HybridNets
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datvuthanh
HybridNets: End-to-End Perception Network
my image shape is (1028, 1232, 3) When training, my image shape is (717, 1276, 3). Training and validating procession is ok.
I changed the backbone to Efficientnet-b0 and reduce the number of BiFPN layers from 6 to 1, in order to cut down the runtime of inference. After training 200 epochs...
if I have two classes, background and lane. My segmentation mask label contains 0 and 1 or 0 and 255?
Hello. First of all,thank you for this work. I noted you mistake the code about the inf_time and fps. So I think maybe you calculation the inference time incorrectly in...
Hello. First of all, great work. While running the `hybridnets_test_videos.py` I found some issues with the FPS calculation part. In the `hybridnets_test_videos.py` script, the FPS is calculated as: `(t2-t1)/frame_count)` But...
First of all, thanks for sharing your study. I am trying to reproduce your results by training the network with strategy you gave. For me to compare how am I...
for example, left line and right line,not pixel
Hi, I'm trying to reproduce your results. Could you please provide the best checkpoint file? Thanks in advance!
channels_last: - https://pytorch.org/blog/tensor-memory-format-matters/ - https://pytorch.org/tutorials/intermediate/memory_format_tutorial.html - https://github.com/pytorch/pytorch/issues/57806 - https://discuss.pytorch.org/t/why-does-pytorch-prefer-using-nchw/83637 - https://gist.github.com/mingfeima/595f63e5dd2ac6f87fdb47df4ffe4772 - memory format != dimension format > While PyTorch operators expect all tensors to be in [Channels First (NCHW)...
