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Nattapon Jaroenchai
DARPA_proj
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1416cd72
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1416cd72
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1 year ago
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Nattapon Jaroenchai
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@@ -25,17 +25,17 @@ The US's manufacturing and national security sectors heavily rely on a diverse r
| File Name | Description |
|-----------|-------------|
|
`GAN_model.py`
|
V-Unet and
GAN model
script
|
|
`GAN_model.py`
|
Training
GAN model
for POC
|
|
`README.md`
| Documentation of the project |
|
`VAE-unet.py`
| VAE-Unet model script |
|
`VAE-unet.py`
| Create and train VAE U-net model for map segmentation |
|
`VAE-unet_updated.py`
| Create and train VAE U-net model for map segmentation with updated loss function |
|
`create_prediction_map.py`
| Data loader class script for input processing |
|
`data_util.py`
| Utility functions for
V-Unet and GAN model
|
|
`data_util.py`
| Utility functions for
dataloader that read and process data from TIFF and JSON files
|
|
`eval_gan.py`
| Evaluation script for GAN model |
|
`eval_vauner.py`
| Evaluation script for VAE-Unet model |
|
`train_model.py`
| Training script for the model |
|
`train_model_u_legends.py`
| Training script with legends |
|
`two-h-model.py`
| Script for V-Unet and GAN model |
|
`unet_util.py`
| Utility functions for the Unet model |
|
`train_model.py`
| Training script for the attention model with processed legends|
|
`train_model_u_legends.py`
| Training script for the attention model with unprocess legends|
|
`unet_util.py`
| Utility functions for the attention U-net model |
For more information on specific files or collaboration, please refer to the contribution guidelines or reach out to the repository maintainers.
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