facetorch
Python library for analysing faces using PyTorch
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Download Latest Version (.zip)- auto-release.yml
- build.yml
- conda-env.yml
- lint.yml
- python-package.yml
- release.yml
- FUNDING.yml
- retinaface.yaml
- retinaface_gdrive.yaml
- retinaface_hf.yaml
- json_format.yaml
- synergy_mobilenet_v2.yaml
- synergy_mobilenet_v2_gdrive.yaml
- synergy_mobilenet_v2_hf.yaml
- open_graph_swin_base.yaml
- open_graph_swin_base_gdrive.yaml
- open_graph_swin_base_hf.yaml
- efficientnet_b7.yaml
- efficientnet_b7_gdrive.yaml
- efficientnet_b7_hf.yaml
- r50_vggface_1m.yaml
- r50_vggface_1m_gdrive.yaml
- r50_vggface_1m_hf.yaml
- efficientnet_b0_7.yaml
- efficientnet_b0_7_gdrive.yaml
- efficientnet_b0_7_hf.yaml
- efficientnet_b2_8.yaml
- efficientnet_b2_8_gdrive.yaml
- efficientnet_b2_8_hf.yaml
- elim_al_alexnet.yaml
- elim_al_alexnet_gdrive.yaml
- elim_al_alexnet_hf.yaml
- adaface_ir101_webface12m.yaml
- adaface_ir101_webface12m_gdrive.yaml
- adaface_ir101_webface12m_hf.yaml
- r100_magface_unpg.yaml
- r100_magface_unpg_gdrive.yaml
- r100_magface_unpg_hf.yaml
- default.yaml
- file.yaml
- tensor.yaml
- universal.yaml
- img_244.yaml
- img_260.yaml
- img_380.yaml
- lmk3d_mesh_pose.yaml
- torchvision_boxes.yaml
- torchvision_keypoints.yaml
- image_saver.yaml
- default.yaml
- gpu.merged.config.yaml
- merged.config.yaml
- config.yaml
- tensor.config.yaml
- tests.config.1.yaml
- tests.config.2.yaml
- tests.config.3.yaml
- tests.config.4.yaml
- tests.config.5.yaml
- tensor.pt
- test.jpg
- test2.jpg
- test3.jpg
- test4.jpg
- test5.jpg
- test.png
- test2.png
- test3.png
- test4.png
- test5.png
- test_tensor.png
- facetorch-logo-42.png
- facetorch-logo-64.png
- Dockerfile
- Dockerfile.dev
- Dockerfile.dev.gpu
- Dockerfile.gpu
- Dockerfile.lock
- Dockerfile.tests
- core.html
- index.html
- post.html
- pre.html
- core.html
- index.html
- post.html
- pre.html
- core.html
- index.html
- core.html
- index.html
- align.html
- draw.html
- index.html
- save.html
- core.html
- index.html
- base.html
- datastruct.html
- downloader.html
- index.html
- logger.html
- transforms.html
- utils.html
- au-predictor-cuda-fix.md
- doc-search.html
- index.html
- index.js
- __init__.py
- core.py
- post.py
- pre.py
- __init__.py
- au_model.py
- core.py
- post.py
- pre.py
- __init__.py
- core.py
- __init__.py
- core.py
- __init__.py
- align.py
- draw.py
- save.py
- __init__.py
- core.py
- __init__.py
- base.py
- datastruct.py
- downloader.py
- logger.py
- transforms.py
- utils.py
- facetorch_notebook_demo.ipynb
- _lunr_search.inc.mako
- config.mako
- example.py
- example_tensor.py
- repeated_inference.py
- conftest.py
- test_align.py
- test_analyzer.py
- test_au.py
- test_deepfake.py
- test_detector.py
- test_embed.py
- test_fer.py
- test_post.py
- test_predictors.py
- test_reader.py
- test_response.py
- test_save.py
- test_transforms.py
- test_unifier.py
- test_utilizers.py
- test_va.py
- test_verify.py
- .dockerignore
- .flake8
- .gitattributes
- .gitignore
- CHANGELOG.md
- conda-lock.yml
- docker-compose.dev.yml
- docker-compose.yml
- environment.yml
- gpu.conda-lock.yml
- gpu.environment.yml
- LICENSE
- MANIFEST.in
- pytest.ini
- README.md
- requirements.dev.txt
- setup.py
- version
# Installation Guide
1. Get the code
git clone https://github.com/tomas-gajarsky/facetorch
Downloads the entire project code from GitHub to your computer.
cd facetorch
Moves into the project folder you just downloaded.
2. Official Install Script
Easy RecommendedPrerequisites
- Python 3 Python is required to use pip.
pip install facetorch
Installs the package published on PyPI directly β no need to clone the source.
After installing, open a new terminal and run the program's version command (e.g. --version) to confirm it worked.
Pulled directly from this repo's README.
3. Docker
EasyPrerequisites
- Git Needed to download the project code from GitHub.
- Docker Desktop Needed to build and run containers. Install it and keep it running in the background.
(Apple Mac M1) Use Rosetta 2 emulator in Docker Desktop to run the CPU version.
Type this command into your terminal and run it.
* (Alternative Docker) Lock the environment:
Type this command into your terminal and run it.
Run docker compose ps to check the containers are Up. If the README mentions a port, open http://localhost:PORT in your browser.
Pulled directly from this repo's README.
4. Python
EasyPrerequisites
pip install facetorch
Installs the package published on PyPI directly β no need to clone the source.
If it runs without errors and prints output in the terminal, it worked.
Pulled directly from this repo's README.
// repository documentation
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