ComfyUI-HappNodeSet

ComfyUI-HappNodeSet

Custom nodes for ComfyUI

Installation

Method 1: ComfyUI Manager

Search for "HappNodeSet" in ComfyUI Manager and install.

Method 2: Manual Installation

cd ComfyUI/custom_nodes
git clone https://github.com/mikemojen/ComfyUI-HappNodeSet.git

Requirements

If you have specific Python dependencies, install them:

pip install -r requirements.txt

Nodes

ComfyUI Line Counter & Measurer

A ComfyUI custom node package that detects, counts, and measures straight/dashed lines in images.

Features

• Line Detection: Automatically detects all straight and dashed lines in an image
• Line Counting: Counts the total number of distinct lines
• Length Measurement: Measures each line's length in pixels
• 4-Way Junction Resolution: Intelligently handles crossing lines by pairing collinear segments
• Visualization: Creates a stitched image showing each line separately with its length

Algorithm

The node uses a sophisticated 7-step algorithm:

1. Preprocessing: Grayscale → Binary threshold → Noise cleanup
2. Skeletonization: Thin all lines to 1-pixel width
3. Graph Building: Identify junction points and endpoints
4. Junction Classification: Count connections at each junction
5. 4-Way Junction Resolution: Pair collinear segments at crossings
6. Line Extraction: Trace through graph following pairing rules
7. Measurement & Export: Calculate lengths and generate visualizations

Installation

1. Clone or copy this folder to your ComfyUI custom_nodes directory:

   cd ComfyUI/custom_nodes
   git clone <repo_url> comfyui_line_counter
   # OR
   cp -r /path/to/comfyui_line_counter ./
   

2. Install dependencies:

   pip install -r comfyui_line_counter/requirements.txt
   

3. Restart ComfyUI

Nodes

LineCounter (Basic)

Inputs:

• image: Input image (IMAGE)
• threshold (0-255, default: 128): Binary threshold value
• min_line_length (1-1000, default: 10): Minimum line length to include
• noise_removal_kernel (1-11, default: 3): Kernel size for noise removal
• angle_tolerance (5-90°, default: 30°): Tolerance for collinearity at junctions

Outputs:

• line_count (INT): Number of detected lines
• line_lengths (STRING): Comma-separated lengths in pixels
• visualization (IMAGE): Stitched image of individual lines

LineCounterAdvanced

Same as basic, plus:

Additional Inputs:

• dashed_line_gap (0-50, default: 10): Gap size to close for dashed lines
• line_thickness (1-10, default: 2): Line thickness in visualization

Additional Outputs:

• skeleton_debug (IMAGE): Debug view showing skeleton with junctions (red) and endpoints (green)

Usage Example

1. Add a "Load Image" node
2. Connect it to "Line Counter & Measurer"
3. Adjust parameters as needed:
   • Lower threshold if lines are light colored
   • Increase dashed_line_gap for dashed lines with larger gaps
   • Adjust angle_tolerance if lines at small angles should be separate
4. Connect outputs to preview nodes or save nodes

Input Requirements

• Image should have dark lines on a white/light background
• Lines should be relatively straight (not curved)
• Works best with clean, high-contrast images

Tips

• For dashed lines: Increase dashed_line_gap to connect the dashes
• For noisy images: Increase noise_removal_kernel
• For crossing lines: Adjust angle_tolerance - lower values require more exact alignment
• For thin/faint lines: Lower the threshold value

Example Workflow

[Load Image] → [LineCounter] → [Preview Image (visualization)]
                            ↘ [Show Text (line_count)]
                            ↘ [Show Text (line_lengths)]

License

MIT License

Usage

[Add usage examples]