Passing single picture to metric depth evaluate.py

Hi

Based on this document I do every steps But i don't understand this part of document:
"Please follow ZoeDepth to prepare the training and test datasets." I don't found any dataset in ZoeDepth repo, I don't know where i can download test datasets.

so when i run this command python evaluate.py -m zoedepth --pretrained_resource="local::./checkpoints/depth_anything_metric_depth_outdoor.pt" -d kitti

I get this error: (depth_anything_metric) user1@pc:~/Desktop/Angel Vision/mes/Depth-Anything/metric_depth$ python evaluate.py -m zoedepth --pretrained_resource="local::./checkpoints/depth_anything_metric_depth_outdoor.pt" -d kitti {'attractor_alpha': 1000, 'attractor_gamma': 2, 'attractor_kind': 'mean', 'attractor_type': 'inv', 'aug': True, 'bin_centers_type': 'softplus', 'bin_embedding_dim': 128, 'clip_grad': 0.1, 'data_path': './data/Kitti/raw_data', 'data_path_eval': './data/Kitti/raw_data', 'dataset': 'kitti', 'degree': 1.0, 'distributed': True, 'do_kb_crop': True, 'do_random_rotate': True, 'eigen_crop': False, 'filenames_file': './train_test_inputs/kitti_eigen_train_files_with_gt.txt', 'filenames_file_eval': './train_test_inputs/kitti_eigen_test_files_with_gt.txt', 'garg_crop': True, 'gpu': None, 'gt_path': './data/Kitti/data_depth_annotated_zoedepth', 'gt_path_eval': './data/Kitti/data_depth_annotated_zoedepth', 'img_size': [392, 518], 'input_height': 352, 'input_width': 1216, 'inverse_midas': False, 'log_images_every': 0.1, 'max_depth': 80, 'max_depth_eval': 80, 'max_temp': 50.0, 'max_translation': 100, 'memory_efficient': True, 'midas_model_type': 'DPT_BEiT_L_384', 'min_depth': 0.001, 'min_depth_eval': 0.001, 'min_temp': 0.0212, 'model': 'zoedepth', 'n_attractors': [16, 8, 4, 1], 'n_bins': 64, 'name': 'ZoeDepth', 'notes': '', 'output_distribution': 'logbinomial', 'prefetch': False, 'pretrained_resource': 'local::./checkpoints/depth_anything_metric_depth_outdoor.pt', 'print_losses': False, 'project': 'ZoeDepth', 'random_crop': False, 'random_translate': False, 'root': '.', 'save_dir': './depth_anything_finetune', 'shared_dict': None, 'tags': '', 'train_midas': False, 'translate_prob': 0.2, 'uid': None, 'use_amp': False, 'use_pretrained_midas': False, 'use_right': False, 'use_shared_dict': False, 'validate_every': 0.25, 'version_name': 'v1', 'workers': 16} Evaluating zoedepth on kitti... xFormers not available xFormers not available Params passed to Resize transform: width: 518 height: 392 resize_target: True keep_aspect_ratio: False ensure_multiple_of: 14 resize_method: minimal Using pretrained resource local::./checkpoints/depth_anything_metric_depth_outdoor.pt Loaded successfully 0%| | 0/697 [00:00<?, ?it/s] Traceback (most recent call last): File "/home/user1/Desktop/Angel Vision/mes/Depth-Anything/metric_depth/evaluate.py", line 159, in <module> eval_model(args.model, pretrained_resource=args.pretrained_resource, File "/home/user1/Desktop/Angel Vision/mes/Depth-Anything/metric_depth/evaluate.py", line 131, in eval_model metrics = main(config) File "/home/user1/Desktop/Angel Vision/mes/Depth-Anything/metric_depth/evaluate.py", line 115, in main metrics = evaluate(model, test_loader, config) File "/home/user1/miniconda3/envs/depth_anything_metric/lib/python3.9/site-packages/torch/autograd/grad_mode.py", line 27, in decorate_context return func(*args, **kwargs) File "/home/user1/Desktop/Angel Vision/mes/Depth-Anything/metric_depth/evaluate.py", line 71, in evaluate for i, sample in tqdm(enumerate(test_loader), total=len(test_loader)): File "/home/user1/miniconda3/envs/depth_anything_metric/lib/python3.9/site-packages/tqdm/std.py", line 1195, in __iter__ for obj in iterable: File "/home/user1/miniconda3/envs/depth_anything_metric/lib/python3.9/site-packages/torch/utils/data/dataloader.py", line 628, in __next__ data = self._next_data() File "/home/user1/miniconda3/envs/depth_anything_metric/lib/python3.9/site-packages/torch/utils/data/dataloader.py", line 1333, in _next_data return self._process_data(data) File "/home/user1/miniconda3/envs/depth_anything_metric/lib/python3.9/site-packages/torch/utils/data/dataloader.py", line 1359, in _process_data data.reraise() File "/home/user1/miniconda3/envs/depth_anything_metric/lib/python3.9/site-packages/torch/_utils.py", line 543, in reraise raise exception FileNotFoundError: Caught FileNotFoundError in DataLoader worker process 0. Original Traceback (most recent call last): File "/home/user1/miniconda3/envs/depth_anything_metric/lib/python3.9/site-packages/torch/utils/data/_utils/worker.py", line 302, in _worker_loop data = fetcher.fetch(index) File "/home/user1/miniconda3/envs/depth_anything_metric/lib/python3.9/site-packages/torch/utils/data/_utils/fetch.py", line 58, in fetch data = [self.dataset[idx] for idx in possibly_batched_index] File "/home/user1/miniconda3/envs/depth_anything_metric/lib/python3.9/site-packages/torch/utils/data/_utils/fetch.py", line 58, in <listcomp> data = [self.dataset[idx] for idx in possibly_batched_index] File "/home/user1/Desktop/Angel Vision/mes/Depth-Anything/metric_depth/zoedepth/data/data_mono.py", line 380, in __getitem__ image = np.asarray(self.reader.open(image_path), File "/home/user1/Desktop/Angel Vision/mes/Depth-Anything/metric_depth/zoedepth/data/data_mono.py", line 267, in open return Image.open(fpath) File "/home/user1/miniconda3/envs/depth_anything_metric/lib/python3.9/site-packages/PIL/Image.py", line 3227, in open fp = builtins.open(filename, "rb") FileNotFoundError: [Errno 2] No such file or directory: './data/Kitti/raw_data/2011_09_26/2011_09_26_drive_0002_sync/image_02/data/0000000069.png'

Another question is, I don't want to pass a dataset name (kitti | vkitti2 | diode_outdoor) as a parameter to evaluate.py , I want pass a single image to evaluate.py

how can i solve this two problem ?

Tank you