DNN-with-OpenCV

Deep neural Networks with OpenCV

The following network architectures compatible with OpenCV 3.3 include:-

1. GoogleLeNet.
2. AlexNet.
3. SqueezeNet.
4. VGGNet.
5. ResNet.

For DNN with Caffe model:-

1. .prototxt file, which has model architecture.
2. .caffemodel which has the weights of layers.

To run the code:-

python face.py --image image.jpg --prototxt deploy.prototxt.txt --model res10_300x300_ssd_iter_140000.caffemodel

References:-

1. https://docs.opencv.org/master/d2/d58/tutorial_table_of_content_dnn.html
2. https://www.pyimagesearch.com/2017/08/21/deep-learning-with-opencv/