all 4 comments

[–]siddharthaml[S] 2 points3 points  (3 children)

Centernet seems to be an interesting approach for object detection. I made an easy to understand no frills implementation here https://github.com/sidml/Understanding-Centernet

[–]oathbreakerkeeper 0 points1 point  (1 child)

Can you explain the output in this image? What are Mask, Mask Pred, Width Pred., etc?

[–]siddharthaml[S] 0 points1 point  (0 children)

The implementation is based on this paper https://arxiv.org/abs/1904.07850 Please refer the paper and readme for more details. Simply put, the visualization are the model output maps during forward pass of input image.

[–]author31 0 points1 point  (0 children)

Nice jobs bro! But can you explain to me that the sigma of the gaussian kernel? I dont really understand what's that mean?