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
| Autorius |
normanj
|
| Palaikytojo el. paštas |
nrjost@sandia.gov
|
| Institution |
SNL
|
| Data Source Type |
Lab and Experimental
|
| Accelerated? |
No
|
| Environmental Conditions |
Not Applicable
|
| Measurement Types |
EL
|
| Owner |
normanj
|
| Autorius |
normanj
|
| Updated |
Liepa 3, 2024, 23:19 (UTC)
|
| Sukurtas |
Liepa 3, 2024, 23:18 (UTC)
|
