Model-Pivot is a model conversion and visualization tool to help users inter-operate among different deep learning frameworks. Convert models between PyTorch and Tensorflow. IR is based on the National Information Technology Standardization ```Neural Network Representation and Model Compression Part 1: Convolution Neural Network``.
- tensorflow==1.8.0
- pytorch==0.4.0
- torchvision==0.2.0
- protobuf>=3.6.1
- python>=3.6
- flask
If you want to access the deployed web page from an external network, you should first modify the host and port for the ./visualization/app.py file.
You can deploy it on Web by running:
python app.py| Framework | ResNet50 | Inception V3 | ShuffleNet | FCN | LSTM |
|---|---|---|---|---|---|
| TensorFlow | √ | √ | √ | √ | √ |
| PyTorch | √ | √ | √ | √ | √ |
CUDA_VSIBLE_DEVICES=0 python test.py