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finetune_deepsolar.txt
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| Finetuning processing | |
| Step 1 (Optional): Train Classification Model | |
| - data_dir = '/home/ubuntu/deepsolar/data/bdappv-france/ft_100/' | |
| - old_ckpt_path = '/home/ubuntu/deepsolar/models/deepsolar_pretrained.pth' | |
| - ckpt_save_dir = 'checkpoint/bdappv_ft100_w0.01' | |
| - model_name = 'deepsolar_classification' | |
| - imbalance_rate = 1 | |
| - learning_rate = 0.01 | |
| - weight_decay = 0.01 | |
| - update image dataset class to exlcude val 'true_seg' images | |
| Step 2: Finetune Segmentation Model (Level 1, ft_100) | |
| - data_dir = '/home/ubuntu/deepsolar/data/bdappv-france/ft_100/' | |
| - basic_params_path = '/home/ubuntu/deepsolar/models/deepsolar_pretrained.pth' | |
| or if completed step 1, '/home/ubuntu/deepsolar/src/checkpoint/bdappv_ft100_w0.01/deepsolar_classification_5.tar' | |
| - old_ckpt_path = '/home/ubuntu/deepsolar/models/deepsolar_seg_pretrained.pth' | |
| - ckpt_save_dir = 'checkpoint/bdappv_ft100_w0.01' | |
| - model_name = 'deepsolar_seg_level1' | |
| - level = 1 | |
| - imbalance_rate = 1 | |
| - learning_rate = 0.01 | |
| - weight_decay = 0.01 | |
| - update image dataset class to exlcude val 'true_seg' images | |
| Step 3: Finetune Segmentation Model (Level 2, ft_100) | |
| - data_dir = '/home/ubuntu/deepsolar/data/bdappv-france/ft_100/' | |
| - basic_params_path = '/home/ubuntu/deepsolar/models/deepsolar_pretrained.pth' | |
| or if completed step 1, '/home/ubuntu/deepsolar/src/checkpoint/bdappv_ft100_w0.01/deepsolar_classification_5.tar' | |
| - old_ckpt_path = '/home/ubuntu/deepsolar/src/checkpoint/bdappv_ft100_w0.01/deepsolar_seg_level1_5.tar' | |
| - ckpt_save_dir = 'checkpoint/bdappv_ft100_w0.01' | |
| - model_name = 'deepsolar_seg_level2' | |
| - level = 2 | |
| - imbalance_rate = 1 | |
| - learning_rate = 0.01 | |
| - weight_decay = 0.01 | |
| - update image dataset class to exlcude val 'true_seg' images | |
| Step 4: Test Segmentation Model (ft_eval) | |
| - data_dir = '/home/ubuntu/deepsolar/data/bdappv-france/ft_eval' | |
| - old_ckpt_path = '/home/ubuntu/deepsolar/src/checkpoint/bdappv_ft100_w.01/deepsolar_seg_level2_5.tar.pth' | |
| - class_threshold = 0.5 | |
| - seg_threshold = 0.37 | |
| - level = 2 | |
| - imbalance_rate = 1 | |
| - learning_rate = 0.01 | |
| - weight_decay = 0.01 | |
| - update image dataset class to exlcude val 'true_seg' images |
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