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Caffe Implementation of MobileNets V3

License: MIT License

caffe mobilenetv3 mobilenet-v3

caffe-mobilenet-v3's Introduction

caffe-mobilenet-v3

Introduction

This is a personal Caffe implementation of MobileNetV3. For details, please read the original papers: Searching for MobileNetV3.

How to use

Requirements for Caffe (see: Caffe installation instructions)
Add new caffe layers and rebuild the caffe:
- Depthwise Convolutional Layer from yonghenglh6/DepthwiseConvolution
- ReLU6 Layer from RuiminChen/Caffe-MobileNetV2-ReLU6

Run test

CPU:
$CAFFE_ROOT/build/tools/caffe time -model mobilenet_v3_large_1.0.prototxt
GPU:
$CAFFE_ROOT/build/tools/caffe time -model mobilenet_v3_large_1.0.prototxt -gpu 0

Performance on MobileNetV3

Backbone	CPU-Forward	CPU-Backward	GPU-Forward	GPU-Backward
V3-Large 1.0	134.55 ms	140.23 ms	15.44 ms	21.79 ms
V3-Small 1.0	58.64 ms	59.30 ms	11.49 ms	12.58 ms

TODO

More MobileNetV3 architectures.
Traning & validation.

caffe-mobilenet-v3's People

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cshwhale betterhalfwzm ailihong wintersurvival homwen jackywang-001 ayetao zhaokai5 wzheng1983 xtj49 qaz734913414 miaochenguo aovoc paseam suyuanzhao msjyyt lilysys hzwhh heyzhd labimage qiu931110 westnight stivensss leo-xxx goodhope258 michaelhyin alixing keeprunningcelin pandazha shen865069799 yichaojin runauto wavelet2008 littleprince126 joranwang deepanonymous t-mac-curry waiting111 xdg2016 teresasun eternalsunshine1314 yuanli12139 xijunjun lijiunderstand xmuzhengyh yuxianzhi yimingkao chen1234520 tyro-mm cwbjyy huangdi95 mmx110 robinjoe93 ason93 hito0512 presageboat zhangjh111 daibin88 zhouyang8888 duferen zhulingfeng1993 fei-dong liuwenhaha krosac liulangxing polooloo lvhualong kk52099 erwincheung chengyuz yuv-pixel sunjunlishi chomolungma wliang410 ycjcy claint76 chenyao95 xuezhaojiang vanly89 222foxqazw maxuehao guoqiang0148666 look4-you noticeable dlutcheng shipxu hwijune cristina510 wangwenfeng0 hualuluu chaymaemokhtari wangbiao108 fightseed

caffe-mobilenet-v3's Issues

mobilenet v3 trian

Why did you use relu6 instead of relu after scale layer in blocks?I think the paper used relu.How many batches when you train? Can you release your train.prorotxt and solver.prototxt?I can't reproduce your result.Thank you!

Can you please give me a pretrained weight for test?

please, can you send me a pretrained weight trained on imagenet at [email protected]?
Thank you for your appreciation!

trained model

Hello, can you send the trained network model （mobilenetv3）to my email ([email protected])?Thank you!

about Squeeze-And-Excite in that block

I Notice that you don't add Squeeze-And-Excite in some block which is different from paper. why not add it?

pretrained model

Hello, could you please upload the pretrained MobileNet v3 models on ImageNet dataset? Thanks a lot!

Why the loss stayed the same value?

I have tried this model on binary classification, but the loss is same (value 0.693147) all the time. I am sure the data is right, and have tried other depthwise conv, relu6 and bn parameter also. All methods can't work. It really works???

How can I train my own data?

Hi,
I am wonder how can I train my own data, I think mobilenet_v3_small_1.0.prototxt is the deploy prototxt not train.prototxt?

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