cvlite

Ready-to-run Google Colab code for 8 computer vision topics, with an explanation of every function each one uses.

Install in Google Colab

1. Upload cvlite-1.0.0-py3-none-any.whl (from the dist folder) using the Files panel on the left.
2. Run:

!pip install -q /content/cvlite-1.0.0-py3-none-any.whl
import cvlite

No other installs are needed. OpenCV, NumPy, Matplotlib, scikit-image, pandas, PyTorch and transformers are already in Colab.

Use

cvlite.labs()                          # list the 8 labs
cvlite.code(3, "/content/photo.jpg")   # print ready-to-run code for lab 3 using your image
cvlite.explain(3)                      # aim, steps, theory and every function used, explained
cvlite.run(3, "/content/photo.jpg")    # run lab 3 straight away
cvlite.get_code(3, "/content/photo.jpg")  # the code as a string
cvlite.usage()                         # this help

Copy the printed code into a new Colab cell and run it.

Lab 6 writes region_measurements.csv and lab 7 writes tracking_output.mp4 into the current folder (/content in Colab).