KO
|
EN
gitlite — search
Search
#javascript
#python
#hacktoberfest
#react
#ai
#typescript
#llm
#go
#golang
#android
#machine-learning
#rust
#deep-learning
#linux
automatic-ig-drawing
★ 15
Open GitHub ↗
No description available.
Download README (.md)
Explore Similar Repositories
coke-nof1
:
nof1.ai 官网复刻
rvlib
:
a weird data structures library with type descriptors.
CloudGen
:
No description available.
tool-agent
:
A demo CLI LLM agent
zeussd2
:
EOSIO & EVM smart contract unit testing suite and API provider
// repository documentation
Was this content helpful?
★ 0
(0 ratings)
Select Rating:
★
★
★
★
★
Submit Feedback
Recent Feedback
×
Download README
Do you want to download the
README.md
file for
automatic-ig-drawing
?
Download (.md)
# Auto Sketch Drawer An automated drawing tool that converts images into edge-based sketches and draws them on any canvas application using mouse automation. ## Features - **Edge Detection**: Uses multiscale Canny edge detection to extract drawing paths from images - **Automatic Drawing**: Automatically draws detected edges on any canvas application - **Customizable Detail**: Choose between low, medium, or high detail levels - **Speed Control**: Adjustable drawing speed and points per second - **Preview Mode**: Preview detected paths before drawing - **Canvas Calibration**: Interactive calibration to define your drawing canvas area - **Pause/Abort Controls**: Hotkey support for pausing or aborting the drawing process ## Requirements - Python 3.7+ - Windows, macOS, or Linux - Administrator/root privileges (for keyboard hotkeys on some systems) ## Installation 1. Clone or download this repository 2. Install the required dependencies: ```bash pip install -r requirements.txt ``` **Note**: On Windows, you may need to run as Administrator for keyboard hotkeys to work properly. ## Usage ### Basic Usage ```bash python draw_sketch.py --image path/to/your/image.jpg ``` ### Command Line Options - `--image` (required): Path to the input image file - `--speed` (default: 1.0): Drawing speed multiplier (higher = faster) - `--detail` (default: "high"): Edge detail level - `low`, `med`, or `high` - `--fit` (default: "contain"): Fit mode - `contain` (preserves aspect ratio) or `fill` (fills canvas) - `--invert`: Invert image colors before edge detection - `--preview`: Show a preview window of detected paths before drawing - `--dry-run`: Compute paths without actually moving the mouse - `--max-stroke-len` (default: 800): Maximum points per continuous stroke segment - `--pps` (default: 1200): Target points per second while dragging - `--min-path-len` (default: 5): Minimum polyline length to keep (in points) - `--spacing-px` (default: 2): Maximum pixel spacing between points after resampling - `--drag-duration` (default: 0.0): Per-step duration for drag/move operations - `--use-move`: Use mouseDown + moveTo instead of dragTo (for apps that handle move events better) ### Example Commands ```bash # Basic drawing with preview python draw_sketch.py --image frieren.PNG --preview # High detail, slower speed python draw_sketch.py --image maomao.PNG --detail high --speed 0.5 # Inverted image, fill canvas python draw_sketch.py --image frieren-2.PNG --invert --fit fill # Dry run to test without drawing python draw_sketch.py --image frieren-3.jpg --dry-run --preview ``` ## How It Works 1. **Image Processing**: The tool loads your image and converts it to grayscale 2. **Edge Detection**: Uses multiscale Canny edge detection to find edges at different scales 3. **Thinning**: Thins the detected edges to single-pixel width using skeletonization 4. **Path Extraction**: Extracts continuous paths (polylines) from the thinned edges 5. **Calibration**: You define the canvas area by: - Hovering over the top-left corner and pressing **F8** - Hovering over the bottom-right corner and pressing **F9** - Pressing **F10** to confirm (or **ESC** to cancel) 6. **Drawing**: The tool automatically draws the paths on your canvas using mouse automation ## Controls During Drawing - **F6**: Pause/Resume drawing - **F7**: Abort drawing - **ESC**: Cancel calibration ## Tips - **Canvas Setup**: Before running, open your drawing application, select your brush and color, and position the canvas window - **Preview First**: Use `--preview` to see what will be drawn before starting - **Speed Adjustment**: Start with default speed and adjust `--speed` if needed. Lower values = slower, more precise drawing - **Detail Level**: - `low`: Fewer, simpler paths (faster drawing) - `med`: Balanced detail - `high`: Maximum detail (slower drawing, more paths) - **Spacing**: Adjust `--spacing-px` based on your brush size (typically 25-40% of brush diameter) - **Compatibility**: If your drawing app doesn't respond well to `dragTo`, try the `--use-move` flag ## Troubleshooting - **Hotkeys not working**: On Windows, try running as Administrator - **Drawing too fast/slow**: Adjust `--speed` or `--pps` parameters - **Missing edges**: Try `--detail high` or `--invert` if edges aren't detected properly - **Canvas not responding**: Try `--use-move` or adjust `--drag-duration` ## License This project is provided as-is for personal and educational use.
