Momus

Momus is a cross-platform image processing tool that designed to counter image matching on social media platform.

Momus是一款用来绕过社交平台AI图片匹配的跨平台工具

Monus uses SIFT（Scale Invariant Feature Transform） from opencv to detect all keypoint on img then inject noise to avoid auto-detection.

Monus使用opencv库中的SIFT（Scale Invariant Feature Transform）算法来标记所有的关键点，然后添加噪音来避免社交平台的图片自动匹配

---

Online Demo(WITH FLASK):

Momus Online

Extra library needed:

flask

Run:

python3 Momus_flask.py

---

Offline version(WITH GUI):

Libraries:

PySimpleGUI
numpy
cv2
matplotlib
pillow

Install:

pip3 install -r requirements.txt

Run:

python3 Momus.py

Pack to exe:

pyinstaller -F -i logo.ico -w Momus.py -p image_processing.py

Download Release:

Github
levyhsu.com

output file(Under same dir):

originalname_output.png

Mac version is currently unavailable due to Issue on tkinte under MacOS 10.14.6

---

Demo:

Version: 1.2:

Version: 1.4:

Counter OCR demo: