53 lines
1.8 KiB
Markdown
53 lines
1.8 KiB
Markdown
# ComfyUI Circle Detection [](https://www.copus.io/work/93ba7f55a26845cd9666854a750a80f1) [](https://github.com/comfyanonymous/ComfyUI)
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## Introduction
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Next to AI mathematical methods can be used for the detection of objects like a circle. This node is using Hough's transform for the detection of circles in an given image.
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## Usage
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After installation the node can be find in the node menu
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Add Node > 🧬 Circle Detection Nodes > 🔬 Circle Detection
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For showing data one can use following node
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Add Node > 🧬 Circle Detection Nodes > 🗃 Circle Detection
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## Version Previews
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version 0.0.0.1
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*Figure 1: Preview of workflow using the circle detection node*
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version 0.0.0.2
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*Figure 2: Preview of workflow using the circle detection node*
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version 0.0.0.3
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*Figure 3: Preview of workflow using the circle detection node*
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## Installation
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Use the ComfyUI Manager for the installation of the node.
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You can also move int the directory ComfyUI/custom_nodes
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git clone https://github.com/zentrocdot/ComfyUI_Circle_Detection
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## Remarks
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The first image created is the one, where on can see, which circles are found. The seond image looks like a mas, but it is not for the moment.
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It is still an blank image, where the found circles are filled drawn.
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## References
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[1] https://docs.opencv.org/3.4/d4/d70/tutorial_hough_circle.html
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