Comments (1)
没有测过cocomAP,没有用到自对抗学习,
from yolov4-pytorch.
Related Issues (20)
- opencv加载图像进行推理 HOT 5
- train_loss下降正常,val_loss不变,map一直很低,实际预测检测效果很差。 HOT 2
- train_loss下降,val_loss不变,map一直不变,自建数据集预测效果很差。 HOT 9
- 验证损失低于训练损失 HOT 2
- 替换YOLOv4主干网络为ghost或者mobilenetv2/3,检测精度直接为0或者零点几? HOT 14
- 你好,想问下更改预测框的颜色字体粗细大小 要如何更改啊 HOT 3
- 找不到dropblock,SAF等方法的人看这里 HOT 1
- loss计算太慢 HOT 7
- get_map很低
- please help me,why are the images of the validation set used during the training process? HOT 1
- 1
- AP很低 HOT 2
- 导,你的heatmap生成原理是什么?
- 请求 HOT 1
- 求教predict和get_map中detect_image的区别
- 默认参数没有调整,loss一直是nan HOT 2
- 计算量怎么查看? HOT 1
- File "mtrand, pyx", line 934, in numpy.random. mtrand. RandomState. choiceValueError: a cannot be empty unless no samples are taken
- RuntimeError: one of the variables needed for gradient computation has been modified by an inplace operation: [torch.cuda.FloatTensor [4096]] is at version 3; expected version 2 instead. HOT 1
- 请问yolov4的预训练权重从哪下载呢 HOT 1
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