Comments (3)
Hi! @gongyan1
We use the same loss from yolov7, and do not involve seg labels.
Could you show the related code about the seg labels?
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@LZHgrla
Dear Lin,
Thank you for reaching out. However, when I downloaded the COCO labels mentioned in your readme, I found that they are not stored as four values of x, y, w, h as expected but rather as many values, and the number of values per line is inconsistent. Therefore, my question is, given that one txt file corresponds to one image and each line corresponds to one object, if these are bounding boxes, they should all be in the common format of class_id x y w h.
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@gongyan1
The COCO labels mentioned in our README are for downloading segmentation labels. However, during the training process, the segmentation labels will be processed into bounding box labels.
Lines 488 to 496 in 4dbb9b2
You can also directly download bounding box labels here, https://github.com/ultralytics/yolov5/releases/download/v1.0/coco2017labels.zip
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Related Issues (20)
- The implementation of Dy-YOLOv7 is developed by the YOLOv7 [45] framework, with two identical detectors. The implementation of dynamic two-stage detectors is developed by the open-source CBNet [24] framework, with two identical backbones and a shared neck and head. HOT 2
- 关于Dy-Faster R-CNN ResNet50和Dy-Mask R-CNN Swin-T配置文件 HOT 2
- 关于Fig 7的疑问 HOT 4
- 不好意思,您能帮我解决一下这个问题吗? HOT 3
- 关于训练adaptive router HOT 4
- 关于Variable-speed inference的疑问 HOT 7
- 关于Adaptive router计算的difficulty score HOT 1
- 代码在test和detect时预测的标签中的类别不显示
- 关于模型FLOPs和Parameters的计算 HOT 2
- 冒昧问一下大佬这个有什么前景/应用价值吗 HOT 2
- 您好,没有在您分享的代码中找到关于Resnet网络的代码,可以提供这一部分的代码吗? HOT 1
- 您好,想请问一下原文中公式13的问题 HOT 2
- Which model path should be provided for dynamic thresholds for variable-speed inference step? HOT 7
- Config for custom data HOT 3
- Early stopping or using epoch_xx.pt HOT 1
- Evaluation metrics explanation HOT 2
- Continue training model on new data
- 请问一下作者,您训练一个epoch要多久,我四张A6000在coco一轮要一天!!!! HOT 26
- 为什么奖励和惩罚项是训练损失差的一半? HOT 4
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