| # SignX | |
| https://signerx.github.io/SignX/ | |
| This is a CSLR model. In the future, it will be further improved to become an open-world SLT model. | |
| Currently, it has been pluginized, that is, the root directory contains viser_backend.py and index.js. These two files will enable this repository to be recognized by the control panel as a plugin. | |
| Therefore, users should first clone the panel, configure the panel environment, and then place this repository in the plugin folder. | |
| ## Environment Setup | |
| SignX inference uses two conda environments: | |
| - `signx-slt`: PyTorch / SMKD stage (RGB feature extraction) | |
| - `slt_tf1`: TensorFlow 1.15 / SLTUNET stage (Recognition based on feature space) | |
| ```bash | |
| conda env create -f env/signx-slt.yml | |
| conda activate signx-slt | |
| pip install -r env/signx-slt.txt | |
| conda env create -f env/slt_tf1.yml | |
| conda activate slt_tf1 | |
| pip install -r env/slt_tf1.txt | |
| ``` | |
| Quick check: | |
| ```bash | |
| conda activate signx-slt | |
| python -V | |
| conda activate slt_tf1 | |
| python -V | |
| ``` | |
| ## Operation Video | |
| <video controls width="100%"> | |
| <source src="asset/SignX_operate.mp4" type="video/mp4"> | |
| Your browser does not support the video tag. | |
| </video> | |
| <p><a href="asset/SignX_operate.mp4">Download the operation video</a></p> | |