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hi, @eric612 i'm very glad to find this repo suppports giou loss and ae layer. when the performance report can be provided and how much the gain in contrast to naive mobilenet yolov3?
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Here is what shows up when training:
Tensor Cores are disabled until the first 3000 iterations are reached.
2386: 0.071939, 0.093780 avg loss, 0.002000 rate, 2.860758 seconds, 305408 images
Load…
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Hello everyone,
Follow this GitHub, I can train new model based on config: _configs/cbnet/htc_cbv2_swin_large_patch4_window7_mstrain_400-1400_giou_4conv1f_adamw_1x_coco.py_
and pre-trained model:
_…
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您是对比了SSD、SSD+FPN、SSD+GIOU和SSD+GIOU+FPN,想问您有没有SSD+FPN以及SSD+GIOU的项目?我想对比一下这几种的方法?
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Use pycenternet_swin_l_fpn_giou_mstrain_3x_coco.py to train but get an error like below:
![image](https://user-images.githubusercontent.com/31875617/227937015-97f8e68b-8d00-443a-b276-1edbcc20ad01.png…
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## Instructions To Reproduce the 🐛 Bug:
1. what changes you made (`git diff`) or what code you wrote
```
Nothing change
```
2. what exact command you run: ```python -m torch.distributed.launch …
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## 🚀 Feature
It would be great if the backward pass of the rotated IoU CUDA module would be implemented, since this way one could train a detector to directly optimize it.
Moreover, recent papers i…
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感谢分享~
想请教下giou loss中加入的bbox_loss_scale。
`bbox_loss_scale = 2.0 - 1.0 * label_xywh[:, :, :, :, 2:3] * label_xywh[:, :, :, :, 3:4] / (input_size ** 2)`
`giou_loss = respond_bbox * bbox_loss_scale * …
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Hi, thanks for your great work!I have a problem that I see the format of the box is (cx, cy, w, h) in the paper, when computing loss. But I find the difference in your code which is (x, y, x, y)?
eg:…
FL77N updated
3 years ago
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avg loss always -nan with csresnext50-panet-spp-original-optimal.cfg training after 3000 interations
The training output :
```
Tensor Cores are used. (next mAP calculation at 4200 iterations)
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