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python predictions_pointsam.py --data_config config_chestxdet.yml --model_config model_svdtuning.yml --data_folder "/media/ubuntu/New Volume/jay/ChestXDet/test_data/images" --gt_path "/media/ubuntu/New Volume/jay/ChestXDet/test_data/masks" --save_path "medsam_point_chestxdet/Effusion" --labels_of_interest "Effusion"
python predictions_pointsam.py --data_config config_chestxdet.yml --model_config model_svdtuning.yml --data_folder "/media/ubuntu/New Volume/jay/ChestXDet/test_data/images" --gt_path "/media/ubuntu/New Volume/jay/ChestXDet/test_data/masks" --save_path "medsam_point_chestxdet/Nodule" --labels_of_interest "Nodule"
python predictions_pointsam.py --data_config config_chestxdet.yml --model_config model_svdtuning.yml --data_folder "/media/ubuntu/New Volume/jay/ChestXDet/test_data/images" --gt_path "/media/ubuntu/New Volume/jay/ChestXDet/test_data/masks" --save_path "medsam_point_chestxdet/Cardiomegaly" --labels_of_interest "Cardiomegaly"
python predictions_pointsam.py --data_config config_chestxdet.yml --model_config model_svdtuning.yml --data_folder "/media/ubuntu/New Volume/jay/ChestXDet/test_data/images" --gt_path "/media/ubuntu/New Volume/jay/ChestXDet/test_data/masks" --save_path "medsam_point_chestxdet/Fibrosis" --labels_of_interest "Fibrosis"
python predictions_pointsam.py --data_config config_chestxdet.yml --model_config model_svdtuning.yml --data_folder "/media/ubuntu/New Volume/jay/ChestXDet/test_data/images" --gt_path "/media/ubuntu/New Volume/jay/ChestXDet/test_data/masks" --save_path "medsam_point_chestxdet/Consolidation" --labels_of_interest "Consolidation"
python predictions_pointsam.py --data_config config_chestxdet.yml --model_config model_svdtuning.yml --data_folder "/media/ubuntu/New Volume/jay/ChestXDet/test_data/images" --gt_path "/media/ubuntu/New Volume/jay/ChestXDet/test_data/masks" --save_path "medsam_point_chestxdet/Emphysema" --labels_of_interest "Emphysema"
python predictions_pointsam.py --data_config config_chestxdet.yml --model_config model_svdtuning.yml --data_folder "/media/ubuntu/New Volume/jay/ChestXDet/test_data/images" --gt_path "/media/ubuntu/New Volume/jay/ChestXDet/test_data/masks" --save_path "medsam_point_chestxdet/Mass" --labels_of_interest "Mass"
python predictions_pointsam.py --data_config config_chestxdet.yml --model_config model_svdtuning.yml --data_folder "/media/ubuntu/New Volume/jay/ChestXDet/test_data/images" --gt_path "/media/ubuntu/New Volume/jay/ChestXDet/test_data/masks" --save_path "medsam_point_chestxdet/Calcification" --labels_of_interest "Calcification"
python predictions_pointsam.py --data_config config_chestxdet.yml --model_config model_svdtuning.yml --data_folder "/media/ubuntu/New Volume/jay/ChestXDet/test_data/images" --gt_path "/media/ubuntu/New Volume/jay/ChestXDet/test_data/masks" --save_path "medsam_point_chestxdet/PleuralThickening" --labels_of_interest "Pleural Thickening"
python predictions_pointsam.py --data_config config_chestxdet.yml --model_config model_svdtuning.yml --data_folder "/media/ubuntu/New Volume/jay/ChestXDet/test_data/images" --gt_path "/media/ubuntu/New Volume/jay/ChestXDet/test_data/masks" --save_path "medsam_point_chestxdet/Pneumothorax" --labels_of_interest "Pneumothorax"
python predictions_pointsam.py --data_config config_chestxdet.yml --model_config model_svdtuning.yml --data_folder "/media/ubuntu/New Volume/jay/ChestXDet/test_data/images" --gt_path "/media/ubuntu/New Volume/jay/ChestXDet/test_data/masks" --save_path "medsam_point_chestxdet/Fracture" --labels_of_interest "Fracture"
python predictions_pointsam.py --data_config config_chestxdet.yml --model_config model_svdtuning.yml --data_folder "/media/ubuntu/New Volume/jay/ChestXDet/test_data/images" --gt_path "/media/ubuntu/New Volume/jay/ChestXDet/test_data/masks" --save_path "medsam_point_chestxdet/Atelectasis" --labels_of_interest "Atelectasis"
python predictions_pointsam.py --data_config config_chestxdet.yml --model_config model_svdtuning.yml --data_folder "/media/ubuntu/New Volume/jay/ChestXDet/test_data/images" --gt_path "/media/ubuntu/New Volume/jay/ChestXDet/test_data/masks" --save_path "medsam_point_chestxdet/DiffuseNodule" --labels_of_interest "Diffuse Nodule"
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