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TropComplique

mtcnn-pytorch

Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks

Model DevelopmentArchitectureJupyter Notebook
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创建于 2017-08-29 · 更新于 2026-09-28 · 今日第 15232 名
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TropComplique/mtcnn-pytorch 排名第 15,232，有 669 个星标。

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TropComplique/mtcnn-pytorch 排名第 15,232，此处有 8 个同类条目；QuantClimate/GPJax 排名第 15,231。

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关键参数与规格
关键参数与规格
参数值
语言Jupyter Notebook
类别Model Development
子类别Architecture
关键词Object detection
星标数669
分叉数162
贡献者3
创建日期2017-08-29
更新日期2026-09-28
1 天星标数0
7 天星标数0
排名15,232
上次排名15,056
排名变化-176
7 天星标排名14,882
上次 7 天星标排名14,897
7 天星标排名变化15
总星标排名15,405
上次总星标排名15,384
总星标排名变化-21
国家Ukraine
README 摘录

MTCNN implementation of **inference stage** of face detection algorithm described in Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks. Example How to use it Just download the repository and then do this For examples see . 2 Pillow, numpy Credit This implementation is heavily inspired by: pangyupo/mxnet_mtcnn_face_detection

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记录了多少星标和分叉？

TropComplique/mtcnn-pytorch 有 669 个星标和 162 个分叉。

仓库排名是多少？

TropComplique/mtcnn-pytorch 排名第 15,232。

记录的语言和类别是什么？

TropComplique/mtcnn-pytorch 有 669 个星标，语言为 Jupyter Notebook，类别为 Model Development。

哪个仓库排名最接近？

TropComplique/mtcnn-pytorch 与 QuantClimate/GPJax 比较，后者排名第 15,231，有 669 个星标。

README

MTCNN

pytorch implementation of inference stage of face detection algorithm described in
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks.

Example

How to use it

Just download the repository and then do this

from src import detect_faces
from PIL import Image

image = Image.open('image.jpg')
bounding_boxes, landmarks = detect_faces(image)

For examples see test_on_images.ipynb.

Requirements

  • pytorch 0.2
  • Pillow, numpy

Credit

This implementation is heavily inspired by:

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