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I downloaded Synthetic Image Data at 6fps used for training and testing from BEDLAM website and used the preprocessed_npz file you provided for training.
In the official dataset, there are files like 20221019_1_250_highbmihand_closeup_suburb_b_6fps. However, while fetching data during training, the required path is 20221019_1_250_highbmihand_suburb_b_6fps, w/o the "closeup" flag, resulting in OSError.
Observing the description document of the bedlam dataset, I found that closeup flag means a version of the image rotated 90 degrees, but they did not provide training data like 20221019_1_250_highbmihand_suburb_b_6fps. I'm wondering what steps I'm missing? Thank u!
training log:
Original Traceback (most recent call last):
File "/mnt/data1/user/miniconda3/envs/closeint/lib/python3.8/site-packages/torch/utils/data/_utils/worker.py", line 308, in _worker_loop
data = fetcher.fetch(index)
File "/mnt/data1/user/miniconda3/envs/closeint/lib/python3.8/site-packages/torch/utils/data/_utils/fetch.py", line 51, in fetch
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/mnt/data1/user/miniconda3/envs/closeint/lib/python3.8/site-packages/torch/utils/data/_utils/fetch.py", line 51, in
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/data1/data1/user/workspace/AiOS/datasets/dataset.py", line 39, in getitem
return self.dataset[k[i]][index % len(self.dataset[k[i]])]
File "/data1/data1/user/workspace/AiOS/datasets/humandata.py", line 491, in getitem
img = load_img(img_path, order='BGR')
File "/data1/data1/user/workspace/AiOS/util/preprocessing.py", line 15, in load_img
raise IOError('Fail to read %s' % path)
OSError: Fail to read ./data/datasets/bedlam/train_images/20221019_1_250_highbmihand_suburb_b_6fps/png/seq_000161/seq_000161_0055.png
The text was updated successfully, but these errors were encountered:
Hi @Maskros-new ,
Sorry for this. I had made some changes to the close-up images by rotating them 90 degrees and removing "closeup" from the folder names.
Hi, @ttxskk
I downloaded
Synthetic Image Data at 6fps used for training and testing
from BEDLAM website and used thepreprocessed_npz
file you provided for training.In the official dataset, there are files like
20221019_1_250_highbmihand_closeup_suburb_b_6fps
. However, while fetching data during training, the required path is20221019_1_250_highbmihand_suburb_b_6fps
, w/o the "closeup" flag, resulting in OSError.Observing the description document of the bedlam dataset, I found that
closeup
flag means a version of the image rotated 90 degrees, but they did not provide training data like20221019_1_250_highbmihand_suburb_b_6fps
. I'm wondering what steps I'm missing? Thank u!ps:
my BEDLAM train_image folder:
├── 20221010_3_1000_batch01hand_6fps
├── 20221010_3-10_500_batch01hand_zoom_suburb_d_6fps
├── 20221011_1_250_batch01hand_closeup_suburb_a_6fps
├── 20221011_1_250_batch01hand_closeup_suburb_b_6fps
├── 20221011_1_250_batch01hand_closeup_suburb_c_6fps
├── 20221011_1_250_batch01hand_closeup_suburb_d_6fps
├── 20221012_1_500_batch01hand_closeup_highSchoolGym_6fps
├── 20221012_3-10_500_batch01hand_zoom_highSchoolGym_6fps
├── 20221013_3-10_500_batch01hand_static_highSchoolGym_6fps
├── 20221013_3_250_batch01hand_orbit_bigOffice_6fps
├── 20221013_3_250_batch01hand_static_bigOffice_6fps
├── 20221014_3_250_batch01hand_orbit_archVizUI3_time15_6fps
├── 20221015_3_250_batch01hand_orbit_archVizUI3_time10_6fps
├── 20221015_3_250_batch01hand_orbit_archVizUI3_time12_6fps
├── 20221015_3_250_batch01hand_orbit_archVizUI3_time19_6fps
├── 20221017_3_1000_batch01hand_6fps
├── 20221018_1_250_batch01hand_zoom_suburb_b_6fps
├── 20221018_3_250_batch01hand_orbit_archVizUI3_time15_6fps
├── 20221018_3-8_250_batch01hand_6fps
├── 20221018_3-8_250_batch01hand_pitchDown52_stadium_6fps
├── 20221018_3-8_250_batch01hand_pitchUp52_stadium_6fps
├── 20221019_1_250_highbmihand_closeup_suburb_b_6fps
├── 20221019_1_250_highbmihand_closeup_suburb_c_6fps
├── 20221019_3_250_highbmihand_6fps
├── 20221019_3-8_1000_highbmihand_static_suburb_d_6fps
├── 20221019_3-8_250_highbmihand_orbit_stadium_6fps
├── 20221020-3-8_250_highbmihand_zoom_highSchoolGym_a_6fps
training log:
Original Traceback (most recent call last):
File "/mnt/data1/user/miniconda3/envs/closeint/lib/python3.8/site-packages/torch/utils/data/_utils/worker.py", line 308, in _worker_loop
data = fetcher.fetch(index)
File "/mnt/data1/user/miniconda3/envs/closeint/lib/python3.8/site-packages/torch/utils/data/_utils/fetch.py", line 51, in fetch
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/mnt/data1/user/miniconda3/envs/closeint/lib/python3.8/site-packages/torch/utils/data/_utils/fetch.py", line 51, in
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/data1/data1/user/workspace/AiOS/datasets/dataset.py", line 39, in getitem
return self.dataset[k[i]][index % len(self.dataset[k[i]])]
File "/data1/data1/user/workspace/AiOS/datasets/humandata.py", line 491, in getitem
img = load_img(img_path, order='BGR')
File "/data1/data1/user/workspace/AiOS/util/preprocessing.py", line 15, in load_img
raise IOError('Fail to read %s' % path)
OSError: Fail to read ./data/datasets/bedlam/train_images/20221019_1_250_highbmihand_suburb_b_6fps/png/seq_000161/seq_000161_0055.png
The text was updated successfully, but these errors were encountered: