Computer Vision is FUN!

There are many good resources for learning computer vision. This repo is a collection of resources that I have found useful. One of the best is the OpenCV-Python Tutorials.

and This PyIageSearch blog is also very good: PyImageSearch https://github.com/BasitJaved/PyImageSearch_University

Install miniconda

YOU NEED THIS IN YOUR LIFE 😱

Google it you will figure it out

Intall pyTorch

Check out the right command for you: [https://pytorch.org/get-started/locally/]

to create in conda env from scratch you could do this:

conda create -n pytorch torchvision -c pytorch

Notes on Conda

For M1 macs if you need 3.6

CONDA_SUBDIR=osx-64 conda create -n torch_36_x86 python=3.6
conda activate torch_36_x86

For Intel macs and the rest of the world

conda create -n torch_36 python=3.6
conda activate torch_36

OpenCV Fun

This folder holds some fun I had with openCV the readme in the folder has more info

I found this simple example in OpenCV "MobileNetSSD_deploy"  https://github.com/Beomus/Python-Realtime-Object-Detector/blob/master/main.py

PyTorch

tf_learning folder

this holds an example of houw to us transfer learning with pytorch the inference method is not working yet

torch video folder

this holds an example of how to use pytorch on a camera feed

PyTorch Detection Transfer learning example

One of the best examples 👍

image detection example is here: https://github.com/deepsense-ai/Keras-PyTorch-AvP-transfer-learning

they use resnet50 to train on a custom dataset for alien vs predator detection

One Yolo to rule them all

well like 5 of them... there are more added all the time it seems. Here is an example of pytorch Yolo v3.

git clone https://github.com/nrsyed/pytorch-yolov3.git

cd pytorch-yolov3
pip install .
./get_weights.sh

if you have a wget error on macos you can use brew to install wget and then run the script again

brew install wget

if you don't have brew installed you can go install it and try again