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Why focal_loss and mean_iou are always zero when the training progress is going on? I didn't change the model, I used pascalvoc2012 for training
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I read the code on branch argoverse2, could you help me answer some questions about the code?
1. dataset_argoverse.py L501 , the code should be like in the following?
```
lane_type_to_int[Lane…
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Test Focal Loss:
Label distribution:
0 - 410
1 - 3090
2 - 4037
3 - 3259
4 - 4197
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https://github.com/lyuwenyu/RT-DETR/blob/9f107dab37c402962a4632570e63ec83c30e1ecc/rtdetr_pytorch/src/zoo/rtdetr/rtdetr_criterion.py#L135
在rtdetr_criterion.py的第135行,分类损失被除以num_boxes而不是num_queries:
…
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What is the best loss function for multi-class accuracy evaluation metric?
The following should be explored:
1. Categorical binary cross entropy
2. Focal Loss (https://arxiv.org/pdf/1708.02002.pd…
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# Context
Use this a place to gather all the plots and images we have.
# Images to Predict on
1.
```
调试后定位到net = net.cuda(cfg['device'][0])
这是CUDA的版本问题吗？
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您好，目前我的研究需要重新訓練出DML+在cifar100的結果，但是使用你們的code並使用Focal loss及Center loss訓練wide resnet後test的結果與你們提供的ckpt test結果相差甚遠，可以請問你們是怎麼訓練出你們提供的weight的嗎？
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The original focal loss paper initialize the bias on the final sigmoid conv layer like so:
`init = tf.constant_initializer([-np.log(0.99/0.01)])`
so that negative examples will start training wi…