Project 4

PFA the zip file containing the .ipynb file and sample inference image to be run in the colab

PFA the colab link for Image segmentation

PFA the deep sort object tracker implementation from manual roi's

PFA the .ipynb file for custom object detection using tensorflow API

PFA the ipynb file for Image classification using MobileNetV2 architecture with german dataset

Sparse optical flow using Lucas Kanade Method. The .ipynb file along with the traffic.mp4 and the masked video sequqnce is attached in the zip file

PFA the zip containing the source code along with explanations and the source and output video for lane detection

Script to use prewitt filter and laplacian filter for the given image. PFA the code and the generated output images for the same

PFA the zip file containing the .ipynb file and the image for the challenge

PFA the notebook and data files for gradient descent for neural networks

Logistic regression usinf random sampling and stratified sampling. PFA the Data and Source notebook files 

Completed the capstone project. I am not aware of what the issue a book means and how to design a UI for it. So i have made like, when user select a book from the list and select issue, i have given a prompt

Completed the english dictionary application