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Handling 'point_cloud' Field in JSON Export Without Images: Import Error in Datumaro #1626
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Hi @ainayves, sorry for the late reply. I tried to reproduce your problem with our test asset with cvat format. import datumaro as dm
test_path = "tests/assets/cvat_dataset/for_images/export_project"
dm_dataset = dm.Dataset.import_from(test_path, format="cvat")
dm_dataset.export("cvat2datum", format="datumaro") And I tried the following commands you mentioned datum project create
datum project import -f datumaro ~/workspace/datumaro/cvat2datum/annotations/Train.json For me this command works well with the following results
If you think the method I used was wrong, could you give me the dataset you used? Let me look at it again. |
Thank you for your answer @sooahleex , In fact , I directly export the annotation in Datumaro format from CVAT Then, I get this json , with "point_cloud" item , and the import command doesn't work : |
Hi @ainayves I updated to unread point cloud when images do not exist and point cloud too. This update will be included in the next release. Thank you for reporting this issue. |
Thank you very much |
Hello, dear developers of Datumaro,
First, thank you for Datumaro, which I recently started using and find very interesting.
I have a question that has been on my mind for a few days.
Here are the steps I followed:
Exporting a dataset from CVAT in Datumaro format without requiring the corresponding images to be re-downloaded.
Running the following commands:
datum project create
datum project import -f datumaro <path to the JSON file>
I then encountered the following error:
My question is : Is there a way to automatically ignore the "point_cloud" field when using Datumaro? Or should I always manually remove it in cases of export without images? Alternatively, could you suggest a different approach?
Note : Sometimes, datasets annotated in CVAT can include thousands of images, so re-downloading them would be a huge time drain.
Thanks in advance for your help, and thank you again for this tool.
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