pythonfix
insightface 0.7.3
InsightFace Python Library
InsightFace Python Library
Stars: 27877, Watchers: 27877, Forks: 5927, Open Issues: 1255The deepinsight/insightface repo was created 8 years ago and the last code push was 2 weeks ago.
The project is extremely popular with a mindblowing 27877 github stars!
How to Install insightface
You can install insightface using pip
pip install insightface
or add it to a project with poetry
poetry add insightface
Package Details
- Author
- InsightFace Contributors
- License
- MIT
- Homepage
- https://github.com/deepinsight/insightface
- PyPi:
- https://pypi.org/project/insightface/
- GitHub Repo:
- https://github.com/deepinsight/insightface
Related Packages
Errors
A list of common insightface errors.
Code Examples
Here are some insightface code examples and snippets.
GitHub Issues
The insightface package has 1255 open issues on GitHub
- Error Installing insightface 0.7.3: Missing setuptools Dependency
- Add face detection example
- চেহারা ১০০%মিল
- buffalo_sc buffalo_s buffalo_l they are all onnx. do you have pretrain pth ? thanks very much
- Do you have any plans to add or support AdaFace in the future?
- replace Albumentations with AlbumentationsX
- WebFace42M datasets cannot access! CANNOT open https://www.face-benchmark.org/download.html！Can anyone send me the link of WebFace42M dataset?
- not working with gpu
- I Get Low Accuracy When I Try To Reproduce Your IJBB / IJBC Evaluations
- Add Ascend NPU support.
- wf42m_pc02_r100复线训练8卡
- Installation and Use Error
- More Landmarks
- Pretrain MobileFaceNet
- ValueError: operands could not be broadcast together with shapes (19200,) (12800,)
Related Packages & Articles
face-alignment 1.4.1
Detector 2D or 3D face landmarks from Python
sagemaker 3.4.1
Open source library for training and deploying models on Amazon SageMaker.
autogluon 1.5.0
Fast and Accurate ML in 3 Lines of Code
face-recognition 1.3.0
Recognize faces from Python or from the command line
onnx 1.20.1
Open Neural Network Exchange (ONNX) is an open ecosystem that empowers AI developers to choose the right tools as their project evolves. ONNX provides an open source format for AI models, both deep learning and traditional ML. It defines an extensible computation graph model, as well as definitions of built-in operators and standard data types. Currently we focus on the capabilities needed for inferencing (scoring).
horovod 0.28.1
Horovod is a powerful distributed training framework for Python that allows you to train deep learning models across multiple GPUs and servers quickly and efficiently. It falls under the category of distributed computing libraries. Built on top of TensorFlow, PyTorch, and other popular deep learning frameworks, Horovod simplifies the process of scaling up your model training by handling the complexities of distributed training under the hood.
gluonts 0.16.2
Probabilistic time series modeling in Python.
face-recognition 1.3.0
Recognize faces from Python or from the command line
autogluon.core 1.5.0
Fast and Accurate ML in 3 Lines of Code