AssertionError: Tuple file doesn't exist! Pass none for mv_tuple_file_suffix if you don't actually need a tuple file, otherwise check your paths.

Hi, Thanks for open source your work, and the work is amazing.

I am trying to run your demo code, set the mv_tuple_file_suffix as None but still got assertion error.

CUDA_VISIBLE_DEVICES=0 python test.py --name HERO_MODEL --output_base_path OUTPUT_PATH --config_file configs/models/hero_model.yaml --load_weights_from_checkpoint weights/hero_model.ckpt --data_config configs/data/vdr_dense.yaml --num_workers 8 --batch_size 1 --fast_cost_volume --run_fusion --depth_fuser open3d --fuse_color --dump_depth_visualization;

########################### Options ###########################

 random_seed: 0
 name: HERO_MODEL
 log_dir: /home/xiaoxin/tmp/tensorboard
 notes: 
 log_interval: 100
 val_interval: 1000
 val_batches: 100
 dataset: vdr
 dataset_path: /home/xiaoxin/projects/def-gigor/xiaoxin/simplerecon/mnt/res_nas/mohameds/vdr/
 num_workers: 8
 tuple_info_file_location: /home/xiaoxin/projects/def-gigor/xiaoxin/simplerecon/mnt/res_nas/mohameds/vdr/tuples/
 mv_tuple_file_suffix: None
 frame_tuple_type: dense
 model_num_views: 8
 num_images_in_tuple: 8
 dataset_scan_split_file: /home/xiaoxin/projects/def-gigor/xiaoxin/simplerecon/mnt/res_nas/mohameds/vdr/scans.txt
 split: test
 image_width: 512
 image_height: 384
 shuffle_tuple: False
 test_keyframe_buffer_size: 30
 lr: 0.0001
 wd: 0.0001
 num_sanity_val_steps: 0
 max_steps: 110000
 batch_size: 1
 val_batch_size: 16
 gpus: 2
 precision: 16
 lr_steps: [70000, 80000]
 resume: None
 load_weights_from_checkpoint: weights/hero_model.ckpt
 image_encoder_name: efficientnet
 depth_decoder_name: unet_pp
 loss_type: log_l1
 matching_encoder_type: resnet
 matching_feature_dims: 16
 matching_scale: 1
 matching_num_depth_bins: 64
 min_matching_depth: 0.25
 max_matching_depth: 5.0
 cv_encoder_type: multi_scale_encoder
 feature_volume_type: mlp_feature_volume
 output_base_path: OUTPUT_PATH
 run_fusion: True
 fuse_color: True
 fusion_max_depth: 3.0
 fusion_resolution: 0.04
 depth_fuser: open3d
 single_debug_scan_id: None
 skip_frames: None
 pc_fusion_z_thresh: 0.04
 n_consistent_thresh: 3
 voxel_downsample: 0.02
 mask_pred_depth: False
 cache_depths: False
 fusion_use_raw_lowest_cost: False
 high_res_validation: False
 fast_cost_volume: True
 standard_fps: 30
 dump_depth_visualization: True
 use_precomputed_partial_meshes: False
 viz_render_width: 640
 viz_render_height: 480
 cam_marker_size: 0.7
 back_face_alpha: 0.5

###############################################################

################################################################################ ###################### VDR Dataset, number of scans: 1168 ###################### ################################################################################

################################################################################ ######################### Running fusion! Using open3d ######################### Output directory: OUTPUT_PATH/HERO_MODEL/vdr/dense/meshes/0.04_3.0_open3d_color ################################################################################

################################################################################ ############################### Saving quick viz.############################### #######Output directory: OUTPUT_PATH/HERO_MODEL/vdr/dense/viz/quick_viz ######## ################################################################################

INFO - 2022-09-16 12:08:38,701 - helpers - Loading pretrained weights from url (https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-effv2-weights/tf_efficientnetv2_s_21ft1k-d7dafa41.pth) ################################################################################ ########################## Using FeatureVolumeManager ########################## Number of source views: 7
Using all metadata.
Number of channels: [202, 128, 128, 1]
################################################################################

################################################################################ ########################## Using FeatureVolumeManager ########################## Number of source views: 7
Using all metadata.
Number of channels: [202, 128, 128, 1]
################################################################################

################################################################################ ######################## Using FastFeatureVolumeManager ######################## Number of source views: 7
Using all metadata.
Number of channels: [202, 128, 128, 1]
################################################################################

0%| | 0/1168 [00:00<?, ?it/s] Traceback (most recent call last): File "/project/6067317/xiaoxin/simplerecon/test.py", line 480, in main(opts) File "/project/6067317/xiaoxin/simplerecon/test.py", line 229, in main dataset = dataset_class( File "/project/6067317/xiaoxin/simplerecon/datasets/vdr_dataset.py", line 53, in init super().init(dataset_path=dataset_path, File "/project/6067317/xiaoxin/simplerecon/datasets/generic_mvs_dataset.py", line 130, in init assert os.path.exists(tuple_information_filepath), ("Tuple file " AssertionError: Tuple file doesn't exist! Pass none for mv_tuple_file_suffix if you don't actually need a tuple file, otherwise check your paths.

not sure which part I did wrong.

Thank you

nianticlabs / simplerecon

AssertionError: Tuple file doesn't exist! Pass none for mv_tuple_file_suffix if you don't actually need a tuple file, otherwise check your paths. #6