evitself/ssd_kerasV2

BetterNetWork4SSD

Keras Implemention of CustomNetwork-SSD

This Work is going to support

MobileNet-SSD

VGG16-SSD300

VGG16-SSD512

FeatureFused-SSD300

Xception-SSDLite (Tanaka Original Ver)

MobileNetV2-SSDLite

My Weights Are Available From Here

MobileNet-SSD300

VGG16-SSD300

FeatureFused-SSD300

https://drive.google.com/drive/u/0/folders/1F8GjD3BFhf_hv9Ipez0twRptYc3P8YwP

It's very WELCOME to upload your fine tuned weights

Please write loss, acc and if possible mAp and your name if you want as your weight name

https://drive.google.com/drive/folders/1u-INV0pNjSjwNgbupXVpr1lwEsTMKW3F?usp=sharing

Requirements

This code was tested with Keras v2.1.5, Tensorflow v1.6.0 GTX1080

Tensorflow・Keras・Numpy・Scipy・opencv-python・pillow・matplotlib・h5py

Installation

pip install --upgrade tensorflow-gpu

conda install numpy

conda install scipy

pip install --upgrade keras opencv-python pillow matplotlib h5py

Reference

SSD : https://github.com/rykov8/ssd_keras/blob/master/ssd.py

Caffe : https://github.com/weiliu89/caffe/tree/ssd

SSD : https://arxiv.org/abs/1512.02325

FSSD : https://arxiv.org/abs/1712.00960

FFSSD : https://arxiv.org/abs/1712.00960

DSSD : https://arxiv.org/abs/1701.06659

VGG : https://arxiv.org/abs/1409.1556

MoileNet : https://arxiv.org/abs/1704.04861

MobileNetV2 : https://arxiv.org/abs/1801.04381

Xception : https://arxiv.org/abs/1610.02357

MobileNetSSD : https://github.com/chuanqi305/MobileNet-SSD

MobileNetV2-SSDLite : https://github.com/chuanqi305/MobileNetv2-SSDLite

VGG16-SSD : https://qiita.com/tanakataiki/items/226c2460738361d2c4eb

MobileNet-SSD : https://qiita.com/tanakataiki/items/41509e1b0f4a9dcd01b1

FeatureFused-SSD : https://qiita.com/tanakataiki/items/36e71e7d2f5705bd98bb

Xception-SSDLite : https://qiita.com/tanakataiki/items/63fa46f529174d8e4c03

Licence

The MIT License (MIT)

Copyright (c) 2018 Taiki Tanaka