PyTorch example with CNN-based object detection
Hi guys, I was wondering is there any example or at least pull request in progress regarding a PyTorch example with CNN-based object detection? For instance a short enough code on the COCO detection dataset? I looked in the examples on GitHub but at least I couldn’t find anything similar.
pevogam
fmassa
switch between meta-architectures (SSD/Faster-RCNN) and base architectures (Resnet/Inception/…) test training tricks such as hard-negatives mining many other tweaks relevant for object detection
YossiB
fmassa
citing few more (prolly some better too)
skrish13
chenyuntc
Amir_Rosenfeld
@Amir_Rosenfeld
ignacio-rocco
Amir_Rosenfeld