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README

0. Configuration File

The config file is ./configs/example.yaml. You can modify test_file or finetune, which correspond to the CSV file location and the pre-trained model checkpoint location, respectively.

1. Model Weight Files and Dataset Configuration

Model Weight Files

The model weight files are located in the ./configs folder. Ensure that these files are correctly loaded when running the model.

CSV File

The CSV file contains the paths to the test images and their corresponding labels. This file is used for testing the model.

Modifying test_example.py

Adjusting Chestxray14_Dataset Class

In the Chestxray14_Dataset class within test_example.py, you need to adjust the column indices according to the structure of your CSV file. Specifically, ensure that the columns for image paths and labels are correctly referenced.

Updating valid_on Method

The valid_on method in test_example.py contains a text_list that should correspond to the labels in your CSV file. Make sure that the text_list is updated to match the labels in your dataset.

2. Model Output

Prediction Results

The model will generate prediction results for each image and each class. These results will be saved as .npy files.

Output Location

The .npy files will be stored in subfolders within the ./results directory. Each subfolder corresponds to a specific run or configuration of the model.

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