开源软件名称(OpenSource Name):Randl/MobileNetV2-pytorch开源软件地址(OpenSource Url):https://github.com/Randl/MobileNetV2-pytorch开源编程语言(OpenSource Language):Python 100.0%开源软件介绍(OpenSource Introduction):MobileNetv2 in PyTorchAn implementation of UsageClone the repo: git clone https://github.com/Randl/MobileNetV2-pytorch
pip install -r requirements.txt Use the model defined in python imagenet.py --dataroot "/path/to/imagenet/" To run continue training from checkpoint python imagenet.py --dataroot "/path/to/imagenet/" --resume "/path/to/checkpoint/folder" ResultsFor x1.0 model I achieved 0.3% higher top-1 accuracy than claimed.
You can test it with python imagenet.py --dataroot "/path/to/imagenet/" --resume "results/mobilenet_v2_1.0_224/model_best.pth.tar" -e
python imagenet.py --dataroot "/path/to/imagenet/" --resume "results/mobilenet_v2_0.5_160/model_best.pth.tar" -e --scaling 0.5 --input-size 160 |
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