随着互联网技术的发展，鼠标轨迹识别算法在很多人机交互产品中的需求日益增加，比如，一些网站为了防止被爬，增加了一些滑块验证码，但是一些软件已经可以模拟人的行为破解滑块验证码。本项目就是通过对鼠标轨迹的特征分析，判定是否是人的行为还是机器行为。常见应用场景：网站反爬虫、在线考试系统脚本刷题。
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Release files for robot-mouse-track 0.0.6
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| robot_mouse_track-0.0.6.tar.gz | 14.1 kB | Details |
Release files / robot_mouse_track-0.0.6.tar.gz
| Download URL | robot_mouse_track-0.0.6.tar.gz |
|---|---|
| Size | 14.1 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
579bfbd9b2eda21f1519e46e3dfb6a062ef6fda0ba9f72274d41185ad8b18ef9
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BLAKE2b-256 checksum How to use checksums |
c0f066340f1ce9acce34e0c1547365e376a0633c9dc0a63be16f863edc08a6ab
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.9.12
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