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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.


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