Cv9527 / MobileNetV2-PyTorch

This is the PyTorch implement of MobileNet V2

This is the PyTorch implement of MobileNet V2(Inverted Residuals and Linear Bottlenecks: Mobile Networks for Classification, Detection and Segment)

Usage

• Prepare data

This code takes ImageNet dataset as example. You can download ImageNet dataset and put them as follows:

├── train.py # train script
├── MobileNetV2.py # network of MobileNetV2
├── read_ImageNetData.py # ImageNet dataset read script
├── ImageData # train and validation data
	├── ILSVRC2012_img_train
		├── n01440764
		├──    ...
		├── n15075141
	├── ILSVRC2012_img_val
	├── ILSVRC2012_dev_kit_t12
		├── data
			├── ILSVRC2012_validation_ground_truth.txt

• Train

You can change batch size/gpus/lr and train from scratch:

python train.py --batch-size 512 --gpus 0,1,2,3 --lr 0.1