How to Count Pixel Colors with Computer Vision
Blog post from Roboflow
James Gallagher's guide provides a comprehensive walkthrough on using computer vision to count pixel colors in images, focusing specifically on the Pixel Color Count feature within Roboflow Workflows. The process begins by setting up a Workflow in Roboflow, where users can create a custom workflow and add a Pixel Color Count block to specify a target color to measure against, allowing for quality assurance checks such as determining if a product label is printed in the correct color. Users can adjust the tolerance for color matching and set up PASS/FAIL criteria based on the pixel count exceeding a predefined threshold. The guide also outlines the deployment options available for workflows, including using the Roboflow cloud, a dedicated server, or personal hardware, each suited to different needs such as reducing latency or running inferences on various media types. Gallagher concludes by encouraging users to explore further applications and workflow blocks available in Roboflow.