Related Issues (20)
- 精度过低
- 能用于别的模型么?比如bisenet
- 推理速度 自测是22ms左右,不是7ms
- Calling the following command after pruning fails to complete the test and reports an error
- train.py训练完为啥没有选出一个最优的yolov3_ckpt.pth额,只是生成了一系列不同epoch的pth
- 请问这里用于稀疏化训练的预训练权重可以是之前训练好的模型吗? HOT 1
- "Channels would be all pruned!"
- 求FLOPS代码位置 HOT 1
- 减枝完,检测不到结果
- prune_model_keep_size 只是将model中冗余的通道通过mask置零,并没有真正的剪掉这些通道? HOT 1
- Cooperation Proposal: Lam1360/YOLOv3-model-pruning & PaddlePaddle
- 模型裁剪以后重新训练可以生成新的pth, 但是同时生成.weights文件报错。
- 这个模型适用于其他crnn结构嘛?
- 训练时候cls_acc一直是100% HOT 1
- 为什么上一层丢掉的权重,下一层的BN层runing_meaning要减去offset
- 为什么跑的这个数据集的结果只有map0.68,作者写的0.75 HOT 1
- 为什么会出现No such file or directory: 'data\\images\\train\\Buffy_1.jpg'
- 为什么剪枝后的 sample_metrics 为空 HOT 2
- 请问大家检测速度的代码在哪里啊?没有看到
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from yolov3-model-pruning.