Image Optimizer

UIC DPW 24S Group 11 course project

Set Up

1. Install packages using requirements.txt: pip install -r requirements.txt.
2. Ensure .\icon folder is correctly placed in the same directory with the python files.
3. The prepared JSON filter datasets are placed in .\dataset folder. Although the program can run without these dataset files, you may not be able to observe the dataset and do image auto optimization as it requires dataset for analysis and training.
4. Run main.py.

Usage: Image Optimization

1. Adjust Atomic Parameter of an Image: Click in and change the value in a text box located at the left-bottom of Main frame. Then click out of the canvas or simply click the Image histogram on the top to modify the image & refresh the window.
2. Auto Optimization: Choose a filter in the combo box located at the right-bottom of the Main frame, and click Auto Optimizzation button.
3. Export Image: Simple click Export button, then a new window will appear. You may crop, compress, and choose clarity of the output image.
4. Revert Image: We offer Revert To Original button to restart the editing process.

Usage: Dataset Management

1. New Dataset Creation: Simply Create a new folder in .\dataset and push the Update Dataset button on the Dataset Manamgement frame.
2. Dataset Update: Add new images into the corresponding filter folder in.\dataset and push the Update Dataset button on the Dataset Manamgement frame.
3. Update Dataset By Unsplash Crawler: Open the Dataset Management frame, click Get More Images from Unsplash. Specify which filter datasets you want to update, each inner API can only crawl 500 images/hour. After crawling, click Dataset Update button.