ildoonet / Tf Mobilenet V2
Licence: mit
Mobilenet V2(Inverted Residual) Implementation & Trained Weights Using Tensorflow
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tf-mobilenet-v2
Mobilenet V2(Inverted Residual) Implementation & Trained Weights Using Tensorflow
Training
$ python3 run.py train --num_gpu=1 --depth_multiplier=1.0 --datadir=...
Pretrained Models
I trained in a few ways, but I failed to replicate the result from the original paper. (2~4% Accuracy Drop)
But you can use the pretrained weight in tensorflow now : https://github.com/tensorflow/models/tree/master/research/slim#pre-trained-models
References
- Inverted Residuals and Linear Bottlenecks: Mobile Networks for Classification, Detection and Segmentation
- Paper Review (Korean)
- Mobilenet V2 Tensorflow Implementation : https://github.com/timctho/mobilenet-v2-tensorflow
- Mobilenet V2 Pytorch Implementation : https://github.com/MG2033/MobileNet-V2
- Mobilenet V1 Official Implementation
- Mobilenet V1 Official Test
- Checkmate : Tensorflow Drop-in Saver
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