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Matt McWilliams 58955ade4b Normalize works, I like it. Image size is the real bandwidth limiter but images look good enough. SHould create a script to onionskin all scans for evaluation. Maybe run the holepunch detection on normal and write text file that prints the centers? Will do that now. 2022-11-15 13:59:51 -05:00
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notes Add a few pattern matching algorithms to notes 2022-11-14 13:40:26 -05:00
.gitignore Started analysis script with single example taken from stackoverflow as a starting point. Had to modify it to support opencv 4.x but got it to run. Finds holes. 2022-11-08 19:11:15 -05:00
README.md Started analysis script with single example taken from stackoverflow as a starting point. Had to modify it to support opencv 4.x but got it to run. Finds holes. 2022-11-08 19:11:15 -05:00
normalize.py Normalize works, I like it. Image size is the real bandwidth limiter but images look good enough. SHould create a script to onionskin all scans for evaluation. Maybe run the holepunch detection on normal and write text file that prints the centers? Will do that now. 2022-11-15 13:59:51 -05:00
requirements.txt Started analysis script with single example taken from stackoverflow as a starting point. Had to modify it to support opencv 4.x but got it to run. Finds holes. 2022-11-08 19:11:15 -05:00

README.md

Four Cell Script

Two scripts:

  1. Analyzes a calibration sheet on the plotter to generate a template.
  2. Takes cells and inserts them into the template 4 at a time.

Analysis Steps

  1. Locate positions of 6 hole punches
  2. Orient to square position
  3. Find all 4 fiducials
  4. Calculate their position relative to the hole punches
  5. Create a template
  6. Use the template-filling script to recreate calibration page as a proof to be checked on a lightbox