computer_vision_practice

Computer Vision + Deep Learning Practice Repository:

This repo consists of Jupyter notebook(s) with Computer vision practice exercises.

The exercises are for practicing the materials from

For setting up the machine, please follow https://github.com/udacity/CVND_Exercises

The above link sets up PyTorch and OpenCV.

For TensorFlow and Keras, from your miniconda environment, please do pip install --upgrade pip

Download Microsoft Visual C++ Redistributable for Visual Studio 2015, 2017 and 2019

pip install --upgrade tensorflow

The steps will update OpenCV to version 4.

Name		Name	Last commit message	Last commit date
Latest commit History 22 Commits
Haarcascades		Haarcascades
P2_Image_Captioning		P2_Image_Captioning
P3_SLAM		P3_SLAM
images		images
models		models
saved_models		saved_models
CNN using Keras and TensorFlow2.0_MNIST.ipynb		CNN using Keras and TensorFlow2.0_MNIST.ipynb
Computer Vision - OpenCV.ipynb		Computer Vision - OpenCV.ipynb
Facial Key Point Masks.ipynb		Facial Key Point Masks.ipynb
FeedForwardNetwork.ipynb		FeedForwardNetwork.ipynb
LICENSE		LICENSE
One-Shot Learning- Face Recognition with Cosine Similarity.ipynb		One-Shot Learning- Face Recognition with Cosine Similarity.ipynb
README.md		README.md
helper.py		helper.py