How does Keras-YOLOv7 deal with conv2d layer padding bug?
Closed this issue · 6 comments
Current Behavior:
Mismatch of the elements in the edges and corners in Keras Conv2D Layer when comparing the conv2d of YOLOv9 that was implemented on PyTorch.
Expected Behavior:
No mismatch.
Steps To Reproduce:
Version:
Anything else:
I believe the code for YOLOv9 was extended from YOLOv7 that has already been implemented in KerasCV. How did they not encounter this issue? Is there any problem on my side?
Linked: keras-team/keras#19291 (comment)
I just noticed Keras-CV supports only v8 and no support for v7 now...
@innat I see, the padding of the element in the edges are manually implemented here.
@innat Ah, the problem with that implementation is that I won't get to use to switch to backends after using that...
If I switch from the TensorFlow backend to the PyTorch backend using that code, the code would break. There's no point in implementing that if that doesn't get fixed! If that doesn't remain backend invariant, there's no point of using Keras at all then!
Let me post the code to the main issue so that gets attention.
This issue is stale because it has been open for 14 days with no activity. It will be closed if no further activity occurs. Thank you.
This issue was closed because it has been inactive for 28 days. Please reopen if you'd like to work on this further.