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在代码中,maskiou_loss = l2_loss(pred_maskiou[positive_inds, labels_pos], gt_maskiou)
pred_maskiou是maskiou_head输出的对于iou的预测值,那么gt_maskiou是什么呢?
gt为什么会有iou...很疑惑,求大神解答。
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The line at https://github.com/matterport/Mask_RCNN/blob/master/mrcnn/utils.py#L698
`low_score_idx = np.where(overlaps[i, sorted_ixs] < score_threshold)[0]`
filters the idx with overlap boxes wi…
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Recently, I have achieved decent performance with this Mask RCNN implementation when IoU is between 0.5-0.7 (mAP is 0.8+), however when IoU is higher, like 0.9, 0.95, the mAP is almost always 0. I won…
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Thanks for your great work!
I wants to evaluate the performance of yolo_world_s_clip_base_dual_vlpan_2e-3adamw_32xb16_100e_o365_goldg_train_pretrained-18bea4d2.pth on val set of obj365v1.
I modi…
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Hello
I have a problem with cityscapes evaluation
I have downloaded cityscapes dataset and prepare it with this:
pip install cityscapesscripts
python tools/convert_datasets/cityscapes.py ./data/…
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I use my own dataset, but I train using just one image. The loss goes down to as low as 0.004. But when I evaluate using the same image I use for training, I get a mean IoU of 0.008. Why could this be…
ghost updated
5 years ago
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hi ,i train yolov3 on ubuntu ,but when i run (./darknet detector train cfg/voc.data cfg/yolov3-voc.cfg darknet53.conv.74),it cannot load image.
Loaded: 0.000026 seconds
Cannot load image "/home/zq…
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When I ran `test.py` with `--save-json` argument it returns both AP with yolov7 calculations and pycocotool's evaluation, but these two are very different, following are the results. Also, I have edit…
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大神好,我们项目需求是只是画框要求非常精准,也就是IOU,不要求分类的精度,我看GFL是分类质量和框质量的联合表示,是否有办法可以多凸显iou的精度,而弱化甚至不考虑分类的精度?
目前我们测了一下,iou精度很低,是否可以通过调参来解决?您是否有好的建议?
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Hello, `I studied your code for a long time, but I still don't understand why your loss function has things that I haven't seen in the yolo / yolov2 articles.
In particular, I've noticed that you app…