pythonfix
insightface 0.7.3
InsightFace Python Library
InsightFace Python Library
Stars: 23072, Watchers: 23072, Forks: 5380, Open Issues: 1134The deepinsight/insightface repo was created 7 years ago and the last code push was Yesterday.
The project is extremely popular with a mindblowing 23072 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 1134 open issues on GitHub
- [Dataset anti spoofing]
- 图片换脸后的分辨率损失问题
- how can i use insightface to calculate animage datasets' identity embedding
- Only CPUExecutionProvider is loaded if not importing pytorch
- How to get only Asian faces from the dataset for training?
- How to train Inswapper model ?
- ERROR: Could not build wheels for insightface, which is required to install pyproject.toml-based projects, ERROR: Failed building wheel for insightface
- Can´t install package in ubuntu 22.04.2. Error Wheel
- Feature Request: Integrate Aim - an open-source experiment tracker
- How to set config. margin_list so that the loss function uses Arcface during training.
- Understanding the configs file in the face recognition Arcface_Torch repository
- How can I download the raw images (without cropping) of MS1M-Retinaface?
- batch SimilarityTransform
- What are the algorithms used to train the models in the model zoo?
- Small bugfix for logical error.
Related Packages & Articles
face-alignment 1.4.1
Detector 2D or 3D face landmarks from Python
sagemaker 2.232.2
Open source library for training and deploying models on Amazon SageMaker.
autogluon 1.1.1
Fast and Accurate ML in 3 Lines of Code
face-recognition 1.3.0
Recognize faces from Python or from the command line
onnx 1.17.0
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 0.15.1
Probabilistic time series modeling in Python.
face-recognition 1.3.0
Recognize faces from Python or from the command line
autogluon.core 1.1.1
Fast and Accurate ML in 3 Lines of Code