mtcnn-pytorch
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A face detection algorithm
Hi, when I generate the Pnet train data, some errors happend: 12880 pics in total /media/gaoya/disk/Applications/pytorch/目标检测/人脸检测/dataset/WIDER_FACE/WIDER_train/images/0--Parade/0_Parade_marchingband_1_849.jpg /media/gaoya/disk/Applications/pytorch/目标检测/人脸检测/dataset/WIDER_FACE/WIDER_train/images/0--Parade/0_Parade_Parade_0_904.jpg Traceback (most recent call last): File "mtcnn/data_preprocess/gen_Pnet_train_data.py", line 94, in <module> delta_x =...
https://pan.baidu.com/s/1sJTO7TcQ2576RUqR_IIhbQ
The normalize coordinate of face detector and landmark somehow is not correct.
在第一步,生成pnet数据,所有的路劲都不正确,似乎因为'./'不能被识别
你好,问下按照你的步骤在wider 数据集上进行训练,在选用pnet_epoch_10.pt 去训练rnet时生成的rnet_epoch_1.pt-rnet_epoch_10.pt人脸一个也检测不到。
Can you upload pre-trained models (trained with wider-faces) to use it for detecting right away ?
@Sierkinhane why are we not generating landmark data for pnet and rnet ?
I have trained onet by following exact same steps on the same dataset. But when I have replaced it with onet from the demo example. it is not working.
Hi, I've been trying to train this model from scratch on a local dataset, but I've been encountering a CUDA memory issue when i run gen_Rnet_train_data.py I'm using a 1050ti...