Skip to main content

Neural network based humanized mouse movements

Project description

nn-mouse

Neural network based humanized mouse movements. The models in this projects are from https://github.com/DaiCapra/Natural-Mouse-Movements-Neural-Networks

Demo

Demo

Installation

You can install the package via pip:

pip install nn-mouse mouse

Note: Any mouse module that can parse the current location of the mouse and move the mouse can be used. In this example, https://github.com/boppreh/mouse is used.

Usage

import time

import mouse

from nn_mouse import get_path

# monitor size
w, h = 1920, 1080

# current location
x, y = mouse.get_position()

# destination location
x1, y1 = 435, 578

# get the path of the movement
path = get_path(x, y, x1, y1, w, h)
# [
#     (614.0211354717612, 247.95467158179963, 7.2918200492858884e-06),
#     (605.374471783638, 262.2269676923752, 0.0002616463661193848),
#     (605.2463676929474, 262.5907788351178, 0.00032121673583984374),
#     (605.0176306962967, 263.15670113265514, 0.00036980979919433595),
#     (604.8388337492943, 264.25625159591436, 0.0004095515823364258),
#     ...
# ]

# move the mouse based on the path
for x, y, t in path:
    mouse.move(x, y)
    time.sleep(t)

License

This project is licensed under the terms of the MIT license.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

nn_mouse-1.0.1.tar.gz (843.6 kB view details)

Uploaded Source

Built Distribution

nn_mouse-1.0.1-py3-none-any.whl (841.4 kB view details)

Uploaded Python 3

File details

Details for the file nn_mouse-1.0.1.tar.gz.

File metadata

  • Download URL: nn_mouse-1.0.1.tar.gz
  • Upload date:
  • Size: 843.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.9.19

File hashes

Hashes for nn_mouse-1.0.1.tar.gz
Algorithm Hash digest
SHA256 d92566959a339b99f47d4b403069f3afdc81d47d019836368d6dfd43fe345f0a
MD5 121d62dbea5909c40ce56ac344418454
BLAKE2b-256 947fff992a4daa523810199e627c616b814d6ac6c2bc624e5d4c4d220e6553fe

See more details on using hashes here.

File details

Details for the file nn_mouse-1.0.1-py3-none-any.whl.

File metadata

  • Download URL: nn_mouse-1.0.1-py3-none-any.whl
  • Upload date:
  • Size: 841.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.9.19

File hashes

Hashes for nn_mouse-1.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 726d548ba3796914c454507b4b91d8e2555e870392fc03f7f136ee0cf1db0150
MD5 d44cf1a40dd5da72139cbf54e67437e2
BLAKE2b-256 57be42988979f5a0eeee3152eb7b41d6922480ca1657ebe2ae2b9fe1ac8e3ae9

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page