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Where can I find model file for loading in test.py file ?
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非常感谢您开源的这套实现,我之前跑过一些MTCNN的性能数据,是基于NCNN版本的MTCNN,运行在ARM cortex-A72核上。在我这里,Cortex-A72单线程,对1920x1080的图片做人脸检测的结果是126ms. 我的A72 core的主频是1.8GHz。不知道您有没有和NCNN版本的MTCNN做过对比?
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Hi,
This is an interesting application of mtcnn!
I have tried running the caffemodels on a simple car image , however the plate detection is getting missed after passing 48-net stage. Also faces a…
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Just a small bug, there is no `r_model_path` in `create_mtcnn_net`. Therefore, `get_Onet_train_data.py` does not have to assign `create_mtcnn_net` with `r_model_path` anymore.
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I read 100,000 images from hard drive and run mtcnn on each image to detect faces. I do nothing else and notice that RAM (16 GB) utilization reaches 100%. This means there is memory leakage. How to so…
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RuntimeError: TOCO failed see console for info.
2019-12-18 16:48:58.198777: I tensorflow/contrib/lite/toco/import_tensorflow.cc:1366] Converting unsupported operation: Abs
2019-12-18 16:48:58.198857…
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First of all good job on MTCNN GPU version!
why the image size need to configure up front in the constructor?
is there a resin why you comment the mtcnn::~mtcnn()?
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mobilenet-v2的结构参数来看,一级mobilenet-v2参数不少于MTCNN的Onet,我在移动端移植MTCNN的检测速度只能达到0.5s左右,PC端差不多可以实现8ms。两层mobilenet-v2的参数比MTCNN的总的参数还要多,如何达到实时检测的要求呢(
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### Deep Learning Simplified Repository (Proposing new issue)
:red_circle: **Project Title** : Detecting Faces
:red_circle: **Aim** : The aim is to create a deep learning project which will detect …
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The torch version is 1.0. The error message is as follows. What is the problem?
/usr/local/lib/python2.7/site-packages/mtcnn/network/mtcnn_pytorch.py:9: UserWarning: nn.init.xavier_uniform is now d…