Human-like mouse path generation using PD control
Project description
Path Generator
A Python library for generating human-like mouse paths using PD (Proportional-Derivative) control.
Installation
Core Library
Install the core library (only requires numpy):
pip install git+https://github.com/sockheadrps/Path-Generator.git
With Windows Emulator
Install with pywin32 for high-performance cursor emulation (Windows only):
pip install "pathgenerator[windows] @ git+https://github.com/sockheadrps/Path-Generator.git"
With Server
Install with the optional FastAPI server:
pip install "pathgenerator[server] @ git+https://github.com/sockheadrps/Path-Generator.git"
Usage
Human Motion Parameters
mouse_velocity: Base movement velocity (unitless, 0.1-1.0).kp_start/kp_end: PD controller correction strength.
Generating Paths
from pathgenerator import PDPathGenerator
gen = PDPathGenerator()
path, progress, steps, params = gen.generate_path(
start_x=100.0, start_y=100.0,
end_x=1800.0, end_y=900.0,
mouse_velocity=0.65,
noise=2.6,
offset_x=0, offset_y=0 # Optional viewport offset
)
Executing Paths (Windows Only)
Use the PathEmulator to execute paths using win32api.
from pathgenerator import PDPathGenerator, PathEmulator
# Initialize emulator (requires pip install pathgenerator[windows])
emulator = PathEmulator()
# Get current mouse position
start_x, start_y = emulator.get_position()
gen = PDPathGenerator()
path, *_ = gen.generate_path(start_x, start_y, 500, 500)
# Execute path
emulator.execute_path(path, delay_between_points=0.01)
Server
To run the playground server:
python -m pathgenerator.server
Visit http://127.0.0.1:8001 in your browser.
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