Metadata-Version: 2.0
Name: soimt
Version: 0.0.1
Summary: Evaluate the reliability of image classification models.
Home-page: https://github.com/Agiraffea/model_test_program
Author: BUCT-IST
Author-email: 2023210599@buct.edu.cn
Maintainer: cjlw
Maintainer-email: 2023210599@buct.edu.cn
License: MIT License
Platform: Windows
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.11
Requires-Python: >=3.8
Requires-Dist: matplotlib (>3.7.0)
Requires-Dist: numpy (>1.20.0)
Requires-Dist: torch (==2.0.1)
Requires-Dist: torchvision (==0.15.2)
Requires-Dist: tqdm (==4.65.0)

# Model_Test_Program
   Our project can be used to evaluate the reliability of image classification models. We generate adversarial samples by adding cloud layers and Gaussian blur to visible light images. For SAR images, we introduce high-scattering noise points in the background area and modify pixel blocks in the object area to generate adversarial samples. By introducing these interferences, we can assess the robustness of the models.

[Github-flavored Markdown](https://github.com/Agiraffea/model_test_program)

pip install somit






