iumyx2612
iumyx2612
> Hi~ thanks for your suggestions, Gradient accumulative has been implemented here > > https://github.com/open-mmlab/mmcv/blob/1f2500102834a01b86bf9ae4db227cd8d724fa6e/mmcv/runner/hooks/optimizer.py#L99 > > I think it is a good idea to add Cross-Iteration Batch Normalization into...
> > > Hi~ thanks for your suggestions, Gradient accumulative has been implemented here > > > https://github.com/open-mmlab/mmcv/blob/1f2500102834a01b86bf9ae4db227cd8d724fa6e/mmcv/runner/hooks/optimizer.py#L99 > > > > > > I think it is a good...
> > > > > Hi~ thanks for your suggestions, Gradient accumulative has been implemented here > > > > > https://github.com/open-mmlab/mmcv/blob/1f2500102834a01b86bf9ae4db227cd8d724fa6e/mmcv/runner/hooks/optimizer.py#L99 > > > > > > > >...
Bug report using TOOD Command line: `python3 tools/vis_cam.py "../../Dataset/SmallHuman/images/train/image (201).jpg" "../configs/tood/tood_r50_fpn_1x_coco.py" "../ckpts/tood_r50_fpn_1x_coco.pth" --target-layers="bbox_head.cls_decomp"` Stack trace: ``` Traceback (most recent call last): File "E:/Work work/Python/Work/Practice/Object Detection/mmdetection/tools/vis_cam.py", line 238, in main() File...
> You can plot and save the figure with matplotlib, for example: > > `import matplotlib.pyplot as plt` > > `fig = plt.figure(figsize=(18,20))` `ax = fig.add_subplot(111)` `im = ax.imshow(score_map, cmap=plt.cm.jet)`...
> @iumyx2612 `score_map ` is the score map predicted from the classifier. I was able to produce Classification score map, but how do you get the IoU score map? There's...
> > > @iumyx2612 `score_map ` is the score map predicted from the classifier. > > > > > > I was able to produce Classification score map, but how...
> > > > > @iumyx2612 `score_map ` is the score map predicted from the classifier. > > > > > > > > > > > > I was...
> For now, mmdetection only has implemented Anchor-based ATSS for benchmarking. Does mmdetection have any plan implementing Anchor-free ATSS soon? If no, can I make an issue in mmdeteciton to...
> @iumyx2612 did you manage to generate/visualize the ERF for transformer-based models like SegFormer? You can follow this repo https://github.com/DingXiaoH/RepLKNet-pytorch