Comments (16)
@CongWeilin
I0222 15:35:19.157838 2982 sgd_solver.cpp:105] Iteration 60000, lr = 6.4e-08
I0222 15:35:33.670897 2982 solver.cpp:218] Iteration 61000 (68.902 iter/s, 14.5134s/1000 iters), loss = 0.795055
I0222 15:35:33.671394 2982 solver.cpp:237] Train net output #0: cls_Acc = 0
I0222 15:35:33.671587 2982 solver.cpp:237] Train net output #1: cls_loss = 0.693147 (* 1 = 0.693147 loss)
I0222 15:35:33.671883 2982 solver.cpp:237] Train net output #3: roi_loss = 0 (* 0.5 = 0 loss)
I0222 15:35:33.671980 2982 sgd_solver.cpp:105] Iteration 61000, lr = 6.4e-08
I0222 15:35:47.946030 2982 solver.cpp:218] Iteration 62000 (70.0535 iter/s, 14.2748s/1000 iters), loss = 0.786254
I0222 15:35:47.946133 2982 solver.cpp:237] Train net output #0: cls_Acc = 0
I0222 15:35:47.946175 2982 solver.cpp:237] Train net output #1: cls_loss = 0.693147 (* 1 = 0.693147 loss)
I0222 15:35:47.946262 2982 solver.cpp:237] Train net output #3: roi_loss = 0 (* 0.5 = 0 loss)
I0222 15:35:47.946286 2982 sgd_solver.cpp:105] Iteration 62000, lr = 6.4e-08
分开训练是收敛的!
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The training code may be released few months later (I am too busy to sort out them). I think you can prepare the dataset by yourself. The main idea can be found in our paper and you can e-mail to me for more details.
from mtcnn_face_detection_alignment.
few months! too long to wait,come on guys
from mtcnn_face_detection_alignment.
Come on guys! There have been about 5 months since you said sharing the training code and dataset. I think your training code and the way to prepare the dataset would help us a lot. I hope you can give us a hand and we would thank you so much.
from mtcnn_face_detection_alignment.
How to prepare the dataset and can you give me a hand?
How to set the weight in the different loss layers?
Is the dataset of the PNet,RNet and ONet different?
How to randomly crop the wider_face images and how many faces in the one cropped image?
from mtcnn_face_detection_alignment.
@amds450076077 My project provide training data https://github.com/CongWeilin/mtcnn-caffe
from mtcnn_face_detection_alignment.
Where is the base trust among people, it's one YEAR passed, but where is the training code???
from mtcnn_face_detection_alignment.
You've broken your promise to the public.
from mtcnn_face_detection_alignment.
@whcjb 你要不要这么逗。。。
from mtcnn_face_detection_alignment.
Looking forward to the release of Training code !
from mtcnn_face_detection_alignment.
This work is magic, when I use the method in the paper, the angle problem cant be solved, i.e. the skew faces have no solution. Planning to use spatial transform network. Any ideas about the skew faces? thanks
from mtcnn_face_detection_alignment.
hello,i would like to know the speed of detect,in paper it just said 99fps ,but my speed is juast 2fps,what about you? my gpu is tatian x
from mtcnn_face_detection_alignment.
@CongWeilin Hi, I reproduce your project, get this question: cls_loss = 0.693147
I0222 15:35:19.157838 2982 sgd_solver.cpp:105] Iteration 60000, lr = 6.4e-08
I0222 15:35:33.670897 2982 solver.cpp:218] Iteration 61000 (68.902 iter/s, 14.5134s/1000 iters), loss = 0.795055
I0222 15:35:33.671394 2982 solver.cpp:237] Train net output #0: cls_Acc = 0
I0222 15:35:33.671587 2982 solver.cpp:237] Train net output #1: cls_loss = 0.693147 (* 1 = 0.693147 loss)
I0222 15:35:33.671739 2982 solver.cpp:237] Train net output #2: pts_loss = 0.203815 (* 0.5 = 0.101908 loss)
I0222 15:35:33.671883 2982 solver.cpp:237] Train net output #3: roi_loss = 0 (* 0.5 = 0 loss)
I0222 15:35:33.671980 2982 sgd_solver.cpp:105] Iteration 61000, lr = 6.4e-08
I0222 15:35:47.946030 2982 solver.cpp:218] Iteration 62000 (70.0535 iter/s, 14.2748s/1000 iters), loss = 0.786254
I0222 15:35:47.946133 2982 solver.cpp:237] Train net output #0: cls_Acc = 0
I0222 15:35:47.946175 2982 solver.cpp:237] Train net output #1: cls_loss = 0.693147 (* 1 = 0.693147 loss)
I0222 15:35:47.946233 2982 solver.cpp:237] Train net output #2: pts_loss = 0.186213 (* 0.5 = 0.0931064 loss)
I0222 15:35:47.946262 2982 solver.cpp:237] Train net output #3: roi_loss = 0 (* 0.5 = 0 loss)
I0222 15:35:47.946286 2982 sgd_solver.cpp:105] Iteration 62000, lr = 6.4e-08
Do you know the reason?
from mtcnn_face_detection_alignment.
@Dawson-huang do you solve this problem? i meet the same
from mtcnn_face_detection_alignment.
@Dawson-huang I also meet this problem,you solve it??? thx
from mtcnn_face_detection_alignment.
@Fei-dong
@Dawson-huang
Hi guys, I also encounter this problem, will we can discuss together? my qq 739544972.
@CongWeilin
Thanks for your work, and could you open the issue?
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Related Issues (20)
- Running with python3
- 如何在linux中部署该工程 HOT 1
- Paper have a typo? HOT 2
- P net was very bad? why? HOT 2
- ffe
- ffe HOT 1
- Does the training data have the gray image, it's difficult to detect the gray image? HOT 2
- 请问作者是否开源训练代码呢 HOT 3
- Can the model detect and align once one batch? HOT 1
- in generateBoundingBox function, why plus 1?
- 用MTCNN进行方形人脸裁剪,得到的部分结果为什么有一个像素的误差?
- 请问boundbox_regression输出的四个值,是关于【左上角坐标,宽,高】的,还是【左上角坐标,右下角坐标】的?代码貌似和论文不一致,求教。
- Undefined function or variable 'rectgenpathangle'.
- using without matlab and difference between C++ and Python versions
- What is the optimal frame resolution and size for detectface method? HOT 1
- Regarding the MIT License of the models HOT 2
- Increase the number of landmarks detected by MTCNN HOT 4
- support for .bmp images
- Anyone was able to get this project to run on FreeBSD 13.1?
- C++ and TensorRT implementation of yolov5face yolov7face yolov8face
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