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1e51e00 cbc5e69 1e51e00 cbc5e69 1e51e00 cbc5e69 1e51e00 cbc5e69 1e51e00 cbc5e69 1e51e00 cbc5e69 1e51e00 cbc5e69 1e51e00 cbc5e69 1e51e00 cbc5e69 1e51e00 cbc5e69 1e51e00 cbc5e69 1e51e00 cbc5e69 1e51e00 cbc5e69 1e51e00 f6142cb 68d1a71 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 | # 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>
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