cvlite

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

Install

!pip install cvlite
import cvlite

Installing cvlite also installs everything the code needs: NumPy, OpenCV, Matplotlib, pandas, scikit-image, Pillow, PyTorch, transformers and pyperclip. In Colab these are already present, so only cvlite itself (and pyperclip) is downloaded.

Use

cvlite.labs()                                # list the 8 labs
cvlite.code(3, "/content/photo.jpg")         # copy ready-to-run code for lab 3 (with your image path) to the clipboard
cvlite.print_code(3, "/content/photo.jpg")   # print the code instead
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

In Colab and Jupyter, cvlite.code() shows a Copy code button (browsers only allow copying after a click), then you paste into a new cell. In a terminal or a Python script it copies straight to the system clipboard.

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