PCBQualityControl

quality

PCBQualityControl uses the latest segmentation models to solve this problem of void detection. This solution trained Yolov8 on the target to automatically select (bounding box). SAM then uses the output of YOLO to segment the image, exposing the void and component areas. A quality control report is generated based on the voids to components ratio.

How to download and setup PCBQualityControl

Open terminal and run command

git clone https://github.com/ajosegun/PCBQualityControl.git

git clone is used to create a copy or clone of PCBQualityControl repositories. You pass git clone a repository URL.
it supports a few different network protocols and corresponding URL formats.

Also you may download zip file with PCBQualityControl https://github.com/ajosegun/PCBQualityControl/archive/master.zip

Or simply clone PCBQualityControl with SSH

[email protected]:ajosegun/PCBQualityControl.git

If you have some problems with PCBQualityControl

You may open issue on PCBQualityControl support forum (system) here: https://github.com/ajosegun/PCBQualityControl/issues

Similar to PCBQualityControl repositories

Here you may see PCBQualityControl alternatives and analogs

opensource awesome-static-analysis QA-Checks-v4 coverageChecker test-data-supplier codeclimate-eslint codeclimate-rubocop framework reek codeclimate PhpMetrics jscpd chimp android-guidelines artifact fastp qulice Themis any_good ImageZipper radish ruby-test-reporter AirKnow jpeek qualinsight-plugins-sonarqube-badges platform code-review SeriousCode javascript-test-reporter cppdep