p-ranav / Face-detection-base-on-ResnetSSD

A project can perform face-detection in image/webcam, based on opencv and deep-learning

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Face detection base on ResnetSSD

Project of Face detection using Resnet and SSD, apply in image and webcam.
(The code comments are descibed in chinese)


Folder Intro

—test_out

The result of my test in webcam.

—Resnet_SSD_deploy/Res10_300x300_SSD_iter_140000.caffemodel

Files save the pre-trained SSD-Resnet caffe model.

  • .prototxt file specifies the architecture of the neural network – how the different layers are arranged etc.
  • .caffemodel file stores the weights of the trained model.

OpenCV’s deep learning face detector is based on the Single Shot Detector (SSD) framework with a ResNet base network (unlike other OpenCV SSDs that you may have seen which typically use MobileNet as the base network).


Result

my test

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A project can perform face-detection in image/webcam, based on opencv and deep-learning


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Language:Python 100.0%