hand-drawing-testing

Automating hand-drawing tests with ADB involves simulating touch input to draw strokes and capturing screenshots to validate the canvas output. This Skill orchestrates test patterns using Python scripts to generate lines, curves, and signatures for end-to-end testing.

Validating canvas output after touch input requires capturing a screenshot of the mobile app and comparing it against a baseline image. The compare_canvas.py script uses Pillow and numpy to automate this image comparison and verify drawing accuracy.

Yes, the hand-drawing automation tool supports testing multi-stroke sequences and undo/redo patterns. It includes scripts and guidance to orchestrate complex interactions like signature capture across various devices and screen sizes.

Yes, you need both ADB and a Python runtime to execute automated signature capture tests. The Skill relies on Python dependencies like Pillow and numpy, along with included scripts, to simulate touch input and perform image comparisons.

The best way to compare mobile canvas screenshots in Python is using Pillow and numpy to detect visual differences. The included compare_canvas.py script automates this process, validating that simulated touch strokes match the expected baseline output.