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Description
This pull request introduces a testing command-line interface (CLI) to evaluate the conditional Generative Adversarial Network (cGAN) model on previously unseen data. The purpose of this evaluation is to gather metrics regarding the model's performance.
Changes Made
Implemented a testing CLI to run the cGAN model against new data.
Collected metrics based on the Max Mean Discrepancy (MMD) to assess dissimilarity and the Peak Signal-to-Noise Ratio (PSNR) to evaluate image quality.
Additional Details
The testing CLI enables the evaluation of the cGAN model's performance on unseen data.
MMD is utilized to measure dissimilarity between generated and ground truth images.
PSNR is employed to assess the quality of the generated images in comparison to the ground truth.