cvat.apps.dataset_manager.bindings.cvatimporterror: failed to import item ('obj_train_data/frame_3691', 'train'): malformed folder structure for image obj_train_data/frame_3691.jpg #8973
Labels
bug
Something isn't working
Actions before raising this issue
Steps to Reproduce
Create a new project
Create a new task
-Upload frame_images in ".*jpg" format
-Upload annotation
-Select Ultranlytics YOLO Decteion 1.0
-Put label zipped
Expected Behavior
Uploading annotations success
Possible Solution
No response
Context
I got this issue:
cvat.apps.dataset_manager.bindings.cvatimporterror: failed to import item ('obj_train_data/frame_3691', 'train'): malformed folder structure for image obj_train_data/frame_3691.jpg
I have followed the steps that can be solved the current issues as follows:
yolo_dataset.zip/
├── obj.names
├── data.yaml
├── obj_train_data/
│ ├── frame_0000.jpg
│ ├── frame_0001.jpg
│ └── ...
├── obj_train_labels/
│ ├── frame_0000.txt
│ ├── frame_0001.txt
│ └── ...
train: obj_train_data/
val: obj_train_data/
names:
0: referee
1: our_team
2: opponent_team
3: our_goalkeeper
4: opponent_goalkeeper
5: sports ball
the issue file is frame_3691.jpg
I have tried many things to correct it, but I have no problem at all.
It is located the desginated folder and has the matched txt file as well.
I think the cvat has serious problem with uploading annotation.
Environment
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