Comments (1)
这样方便加入其他数据集 数据增加多样性 可以保证提升效果
from pfld_68points_pytorch.
Related Issues (20)
- 有没有使用PFLD做头部姿态估计的代码,而不是使用dlib
- train_model.py中的一点疑问 HOT 2
- 请问你这边提供的预训练模型是使用的什么数据集训练的? HOT 1
- 读取数据出错
- 训练多少个epoch后loss能正常收敛 HOT 8
- 关于使用300W数据集进行训练的问题 HOT 3
- 有关3D人脸坐标的问题 HOT 1
- 还想没有300W的困难数据的txt文件(ibug的130多张图的)
- test代码的算error分母好像不对 HOT 1
- 脸离摄像头较近关键点出现较大偏移 HOT 1
- Loss saturate after 80 Epoch HOT 1
- Does model also provides each landmark confidence score HOT 3
- 关于coco里的关键点 HOT 3
- 没有依赖包版本文件 HOT 2
- 欧拉角这部分怎么理解的呢 HOT 1
- 关于用自己制作的人脸数据集应该如何预处理的问题?
- 好像给dataloader设置num_worker就会出bug?
- 98 点 转 68 点的眼睛的关键点没对应上
- LICENSE
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from pfld_68points_pytorch.