This is the unofficial implementation of the "CenterNet:Objects as Points".Just a simple try with self-modified shufflenetv2 and yolov3.If you want better results, you need more experiments.
Hi @xggIoU,
I am planning to use YOLOv3 as a backbone for feature extraction and want to do pose estimation instead of box detection. How can I leverage that use case in your training code?
Also, what changes need to be done for offset loss as you are right now only predicting the class loss i.e heatmap loss and size loss. Can you help me out in solving this query?
Hi @xggIoU, I am planning to use YOLOv3 as a backbone for feature extraction and want to do pose estimation instead of box detection. How can I leverage that use case in your training code? Also, what changes need to be done for offset loss as you are right now only predicting the class loss i.e heatmap loss and size loss. Can you help me out in solving this query?
Thanking You