Problem while training s3dis from scratch, even after preprocessing "Area__database.yaml" not found

[Bindusara]

Thank you for sharing this wonderful work, i am trying to run the s3dis training from scratch.
I am using google cloud platform to meet the GPU requirements(24GB L4 GPU), and the commands have been executed through the SSH terminal
Thanks to the detailed instructions and previous issues that have been solved, i have been able to execute till preprocessing the dataset as shown,

But when i try to train with the following command as described in the scripts:
"python main_instance_segmentation.py
general.project_name="s3dis"
general.experiment_name="area${CURR_AREA}_from_scratch"
data.batch_size=4
data/datasets=s3dis
general.num_targets=14
data.num_labels=13
trainer.max_epochs=1001
general.area=${CURR_AREA}
trainer.check_val_every_n_epoch=10
data.voxel_size=0.05

i am facing the following error

1 [2024-01-05 10:41:11,321][main][INFO] - {'general_train_mode': True, 'general_task': 'instance_segmentation', 'general_seed': None, 'general_checkpoint': None, 'general_backbone_checkpoint': None, 'general_freeze_backbone': False, 'general_linear_probing_backbone': False, 'general_train_on_segments': False, 'general_eval_on_segments': False, 'general_filter_out_instances': False, 'general_save_visualizations': True, 'general_visualization_point_size': 20, 'general_decoder_id': -1, 'general_export': False, 'general_use_dbscan': False, 'general_ignore_class_threshold': 100, 'general_project_name': 's3dis', 'general_workspace': 'jonasschult', 'general_experiment_name': 'area_from_scratch', 'general_num_targets': 14, 'general_add_instance': True, 'general_dbscan_eps': 0.95, 'general_dbscan_min_points': 1, 'general_export_threshold': 0.0001, 'general_reps_per_epoch': 1, 'general_on_crops': False, 'general_scores_threshold': 0.0, 'general_iou_threshold': 1.0, 'general_area': '', 'general_eval_inner_core': -1, 'general_topk_per_image': 100, 'general_ignore_mask_idx': [], 'general_max_batch_size': 99999999, 'general_save_dir': 'saved/area_from_scratch', 'general_gpus': 1, 'data_train_mode': 'train', 'data_validation_mode': 'validation', 'data_test_mode': 'validation', 'data_ignore_label': 255, 'data_add_raw_coordinates': True, 'data_add_colors': True, 'data_add_normals': False, 'data_in_channels': 3, 'data_num_labels': 13, 'data_add_instance': True, 'data_task': 'instance_segmentation', 'data_pin_memory': False, 'data_num_workers': 4, 'data_batch_size': 4, 'data_test_batch_size': 1, 'data_cache_data': False, 'data_voxel_size': 0.05, 'data_reps_per_epoch': 1, 'data_cropping': False, 'data_cropping_args_min_points': 30000, 'data_cropping_args_aspect': 0.8, 'data_cropping_args_min_crop': 0.5, 'data_cropping_args_max_crop': 1.0, 'data_crop_min_size': 20000, 'data_crop_length': 6.0, 'data_cropping_v1': True, 'data_train_dataloader__target_': 'torch.utils.data.DataLoader', 'data_train_dataloader_shuffle': True, 'data_train_dataloader_pin_memory': False, 'data_train_dataloader_num_workers': 4, 'data_train_dataloader_batch_size': 4, 'data_validation_dataloader__target_': 'torch.utils.data.DataLoader', 'data_validation_dataloader_shuffle': False, 'data_validation_dataloader_pin_memory': False, 'data_validation_dataloader_num_workers': 4, 'data_validation_dataloader_batch_size': 1, 'data_test_dataloader__target_': 'torch.utils.data.DataLoader', 'data_test_dataloader_shuffle': False, 'data_test_dataloader_pin_memory': False, 'data_test_dataloader_num_workers': 4, 'data_test_dataloader_batch_size': 1, 'data_train_dataset__target_': 'datasets.semseg.SemanticSegmentationDataset', 'data_train_dataset_dataset_name': 's3dis', 'data_train_dataset_data_dir': 'data/processed/s3dis', 'data_train_dataset_image_augmentations_path': 'conf/augmentation/albumentations_aug.yaml', 'data_train_dataset_volume_augmentations_path': 'conf/augmentation/volumentations_aug.yaml', 'data_train_dataset_label_db_filepath': 'data/processed/s3dis/label_database.yaml', 'data_train_dataset_color_mean_std': 'data/processed/s3dis/color_mean_std.yaml', 'data_train_dataset_data_percent': 1.0, 'data_train_dataset_mode': 'train', 'data_train_dataset_ignore_label': 255, 'data_train_dataset_num_labels': 13, 'data_train_dataset_add_raw_coordinates': True, 'data_train_dataset_add_colors': True, 'data_train_dataset_add_normals': False, 'data_train_dataset_add_instance': True, 'data_train_dataset_cache_data': False, 'data_train_dataset_instance_oversampling': 0.0, 'data_train_dataset_place_around_existing': False, 'data_train_dataset_point_per_cut': 0, 'data_train_dataset_max_cut_region': 0, 'data_train_dataset_flip_in_center': False, 'data_train_dataset_noise_rate': 0, 'data_train_dataset_resample_points': 0, 'data_train_dataset_cropping': False, 'data_train_dataset_cropping_args_min_points': 30000, 'data_train_dataset_cropping_args_aspect': 0.8, 'data_train_dataset_cropping_args_min_crop': 0.5, 'data_train_dataset_cropping_args_max_crop': 1.0, 'data_train_dataset_is_tta': False, 'data_train_dataset_crop_min_size': 20000, 'data_train_dataset_crop_length': 6.0, 'data_train_dataset_cropping_v1': True, 'data_train_dataset_area': '', 'data_train_dataset_filter_out_classes': [], 'data_train_dataset_label_offset': 0, 'data_validation_dataset__target_': 'datasets.semseg.SemanticSegmentationDataset', 'data_validation_dataset_dataset_name': 's3dis', 'data_validation_dataset_data_dir': 'data/processed/s3dis', 'data_validation_dataset_image_augmentations_path': None, 'data_validation_dataset_volume_augmentations_path': None, 'data_validation_dataset_label_db_filepath': 'data/processed/s3dis/label_database.yaml', 'data_validation_dataset_color_mean_std': 'data/processed/s3dis/color_mean_std.yaml', 'data_validation_dataset_data_percent': 1.0, 'data_validation_dataset_mode': 'validation', 'data_validation_dataset_ignore_label': 255, 'data_validation_dataset_num_labels': 13, 'dat[wandb: long log line truncated]
2 /opt/conda/envs/mask3d_cuda113/lib/python3.10/site-packages/pytorch_lightning/trainer/connectors/accelerator_connector.py:446: LightningDeprecationWarning: Setting Trainer(gpus=1) is deprecated in v1.7 and will be removed in v2.0. Please use Trainer(accelerator='gpu', devices=1) instead.
3 rank_zero_deprecation(
4 /opt/conda/envs/mask3d_cuda113/lib/python3.10/site-packages/pytorch_lightning/trainer/connectors/callback_connector.py:57: LightningDeprecationWarning: Setting Trainer(weights_save_path=) has been deprecated in v1.6 and will be removed in v1.8. Please pass dirpath directly to the ModelCheckpoint callback
5 rank_zero_deprecation(
6 GPU available: True (cuda), used: True
7 TPU available: False, using: 0 TPU cores
8 IPU available: False, using: 0 IPUs
9 HPU available: False, using: 0 HPUs
10 generate data/processed/s3dis/train_Area__database.yaml first

Could you please help me to solve the issue.