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### Prerequisite
- [X] I have searched [Issues](https://github.com/open-mmlab/mmrotate/issues) and [Discussions](https://github.com/open-mmlab/mmrotate/discussions) but cannot get the expected help.
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Dear author,
I am a graduate student at the university. Thank you very much for the code you provided.
But when I tested on my data set, I found the AP was very low, and I don't know why.(I test on …
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I0819 11:42:18.866453 4075 sgd_solver.cpp:121] Iteration 40, lr = 0.005
I0819 11:42:19.737269 4075 yolov3_layer.cpp:764] noobj: 0.00100563 obj: 0.032264 iou: 0.339615 cat: 0.932463 recall: 0 recall…
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源码中的标签生成逻辑是:
1.利用预测框与gt的l1距离筛选出topk个锚点,再利用锚点与gt的l1距离筛选出topk个锚点,将之作为预选正例锚点。
2.将预选正例锚点依据iou与gt匹配,滤除与锚点iou小于0.15的预选正例锚点
3.将gt与预测框iou
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1.When I want to calculate video_map, I did not find the testlist_video.txt file.
2.I generated one myself, the format in it is like walk/50_FIRST_DATES_walk_f_cm_np1_le_med_33,it can run begin, …
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hey, i find that the iou_thred in train.py (https://github.com/WongKinYiu/yolov7/blob/main/train.py#L499) and readme.md (https://github.com/WongKinYiu/yolov7/tree/main#testing) are different. One is 0…
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https://github.com/generalized-iou/g-tensorflow-models/blob/d0ff754286a3b9b106eb3a0b55b4cbedbfb24269/research/object_detection/core/losses.py#L215
should i use the exp function for faster r-cnn tra…
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To my knowledge
Precision, Recall, F1 use `conf_thresh=0.25` and `IoU_thresh=0.5` as default
mAP use `conf_thresh=0.005` and `IoU_thresh=0.5` as default
Is this correct?
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in yolo_v3_spp_pan_scale, What is the role of scale?
why
[yolo] params: iou loss: mse, iou_norm: 0.75, cls_norm: 1.00, scale_x_y: 1.20?
Please enlighten me.
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According to COCO dataset, the mAP metric should be calculated as:
AP at IoU=.50:.05:.95 (primary challenge metric)
The mAP calculated in this implementation is actually mAP @ IOU=0.5. Wouldn't this…