资源算法Face-detection-with-mobilenet-ssd

Face-detection-with-mobilenet-ssd

2020-02-07 | |  56 |   0 |   0

Description

This is a implementation of mobilenet-ssd for face detection written by keras, which is the first step of my FaceID system. You can find another two repositories as follows:

  1. Face-detection-with-mobilenet-ssd

  2. Face-Alignment-with-simple-cnn

  3. Face-identification-with-cnn-triplet-loss

prepare data

  1. You are advised to use CUDA-compatible GPUs to train the model.

  2. Download WIDER Face from Official Website , and put it into data_path folder in face_train.ipynb.

  3. wider_extract.py has been modified to show the method of exctracting faces from the datasets. It's easy to follow.

train

  1. Follow face_train.ipynb step by step. You can change the parameters for better performance.

  2. wider_train_small.npy and wider_val_small.npy are made to testing the network. If you don't have enough gpu resources, you can also use them for training.图片.png

  • © 2020 GitHub, Inc.


上一篇:ncnn-mobilenet-ssd

下一篇: py-faster-rcnn-dockerface

用户评价
全部评价

热门资源

  • TensorFlow-Course

    This repository aims to provide simple and read...

  • seetafaceJNI

    项目介绍 基于中科院seetaface2进行封装的JAVA...

  • mxnet_VanillaCNN

    This is a mxnet implementation of the Vanilla C...

  • DuReader_QANet_BiDAF

    Machine Reading Comprehension on DuReader Usin...

  • Klukshu-Sockeye-...

    KLUKSHU SOCKEYE PROJECTS 2016 This repositor...