Comments (2)
@zchfaq Could you tell me how to solve this problems? Thanks!
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@zchfaq Could you tell me how to solve this problems? Thanks!
@flexibility2 I think Pnet,Rnet,Onet should use the same annotation file, so I use the "wider_origin_anno.txt" instead
from mtcnn-pytorch.
Related Issues (19)
- anno_train.txt has nothing! HOT 1
- 人脸框太大了 HOT 1
- 关于 gen_rnt_train_data中annotation_file
- 在训练rnet的时候loss会爆炸 有人遇到这个问题吗 HOT 2
- Traceback (most recent call last): File "mtcnn/data_preprocess/gen_Pnet_train_data.py", line 94, in <module> delta_x = np.random.randint(max(-size, -x1), w) File "mtrand.pyx", line 630, in numpy.random.mtrand.RandomState.randint File "bounded_integers.pyx", line 1228, in numpy.random.bounded_integers._rand_int64 ValueError: low >= high HOT 9
- landmark data not generated for pnet and rnet
- do you have a pretrained models (trained with widerface) to use it right away ?
- The normalize HOT 1
- “./” 寻找root路劲无效 HOT 1
- WIDER FACE data set link is not working
- 如何返回坐标
- result on fddb HOT 1
- rnet时生成的rnet_epoch_1.pt-rnet_epoch_10.pt人脸一个也检测不到 HOT 10
- Onet trained model not working HOT 3
- Hard Sample Mining
- some errors find in the code
- 找不到‘’./anno_store/anno_train_test.txt‘’文件 HOT 1
- gen_rnet_data HOT 2
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