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