Used retrained pv-vision (original: https://github.com/hackingmaterials/pv-vision, retrained: https://github.com/sandialabs/pvcracks/tree/main/retrain) to extract crack masks from module EL images (uploaded here). These images are used to train our variational autoencoder (VAE) for feature bundling (in the latent space) and crack mask generation (https://github.com/sandialabs/pvcracks/tree/main/VAE)

Dataset Metadata

作者 normanj
維運者的電子郵件 nrjost@sandia.gov
Institution SNL
Data Source Type Lab and Experimental
Accelerated? No
Environmental Conditions Not Applicable
Measurement Types EL
Owner normanj

作者 normanj
Updated 七月 3, 2024, 23:19 (UTC)
建立 七月 3, 2024, 23:18 (UTC)