Background During a very recent webinar where I was a speaker for the topic Deep learning with TensorFlow I repeatedly was asked a question regarding how would one really define their own layers, parameter and how they work so as to watch it do the magic while showing them some notebooks that had parameters to the layers that we regularly use.
A computer vision playground to try and test end to end(test to deploy) computer vision pipeline. We are looking for open source enthusiasts to help advance the project, to know more click on contribute.
Object detection usin OPenCV’s dnn module a mobilenet model trianed on caffe.
Implementing simple facial recognition using Haarcascades and OpenCV
An implementation of optical flow tracker using lucas-k : calcOpticalFlowPyrLK() method in OpenCV.
implementing canny edge detection from OpenCV with noise reduction, intensity gradient of image, non-maxima suppression and hysterisis thresholding
Finding dominant color in an image with the help of quantization and eigne value.