mtcnn
| Crates.io | mtcnn |
| lib.rs | mtcnn |
| version | 0.1.0 |
| source | src |
| created_at | 2020-10-02 22:49:34.29612 |
| updated_at | 2020-10-02 22:49:34.29612 |
| description | This application is designed to be used as a command from a WebAssembly function running inside the SSVM to perform native tensorflow operations. Please see documentation for more details. |
| homepage | https://github.com/second-state/AI-as-a-Service/native_model_zoo/mtcnn |
| repository | https://github.com/second-state/AI-as-a-Service |
| max_upload_size | |
| id | 295577 |
| size | 17,091 |
Michael Yuan (juntao)
documentation
README
Face detection model wrapper
This application is designed to be used as a command from a WebAssembly function running inside the SSVM to perform native tensorflow operations.
It is NOT designed for direct command line use.
Install tensorflow
Follow the instructions. On most Linux systems, just do the following.
$ wget https://storage.googleapis.com/tensorflow/libtensorflow/libtensorflow-gpu-linux-x86_64-1.15.0.tar.gz
$ sudo tar -C /usr/ -xzf libtensorflow-gpu-linux-x86_64-1.15.0.tar.gz
Build and install
To install from the local source, do this.
$ cargo install --path .
Note: If error occurs when building, try to update rustup.
$ rustup update nightly
$ rustup update stable