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ipazc/mtcnn

0
View on GitHub↗
2,477 stars·526 forks·Jupyter Notebook·MIT·13 views

Mtcnn

MTCNN face detection implementation for TensorFlow, as a PIP package.

Features

  • Computer Vision - Implementation of multi-task cascaded convolutional networks for face detection.
  • Face detection - Listed in the “Face detection” section of the Ailia Models awesome list.

Star history

Star history chart for ipazc/mtcnnStar history chart for ipazc/mtcnn

How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.

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Open-source alternatives to Mtcnn

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Frequently asked questions

What does ipazc/mtcnn do?

MTCNN face detection implementation for TensorFlow, as a PIP package.

What are the main features of ipazc/mtcnn?

The main features of ipazc/mtcnn are: Computer Vision, Face detection.

What are some open-source alternatives to ipazc/mtcnn?

Open-source alternatives to ipazc/mtcnn include: achaiah/pywick — High-level batteries-included neural network training library for Pytorch. ailab-cvc/yolo-world — YOLO-World is a vision-language framework and open-vocabulary object detection model. It identifies objects in images… airctic/icevision. alankbi/detecto — Build fully-functioning computer vision models with PyTorch. albu/albumentations — Albumentations is an image augmentation library and computer vision preprocessing tool designed to expand datasets for… 1adrianb/face-alignment — This is a PyTorch-based computer vision library for detecting 2D and 3D facial landmark coordinates. It functions as a…