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annotation conversions

I am trying to use the SDK to convert annotations from VOC or COCO to your format, but am having some trouble. Your documentation does not specify what folder structure your code expects, and keeps reporting that it is not finding what it is looking for: SA-PYTHON-SDK - INFO - All files with following extensions ['jpg', 'jpeg', 'png', 'tif', 'tiff', 'webp', 'bmp'] will be copied to output folder SA-PYTHON-SDK - WARNING - Images doesn't exist SA-PYTHON-SDK - WARNING - 'Annotations' directory is empty SA-PYTHON-SDK - INFO - Converting to SuperAnnotate JSON format 0it [00:00, ?it/s] SA-PYTHON-SDK - INFO - Conversion completed I have tried with the standard VOC and COCO datasets, and still get the same error. If you could specify what folder structure you expect, it would be very useful.
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SDK in docker python environment

Hi, I am trying to install superannotate sdk on a python3.8 docker container. I got the following error when building my container. Could you help me ? Downloading superannotate-4.3.1.tar.gz (143 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 143.9/143.9 KB 3.9 MB/s eta 0:00:00 Preparing metadata (setup.py): started Preparing metadata (setup.py): finished with status 'error' error: subprocess-exited-with-error × python setup.py egg_info did not run successfully. │ exit code: 1 ╰─> [6 lines of output] Traceback (most recent call last): File "<string>", line 2, in <module> File "<pip-setuptools-caller>", line 34, in <module> File "/tmp/pip-install-ekwe46fm/superannotate_5d57fd0511264a118bd6b0030791eb78/setup.py", line 1, in <module> from packaging.version import parse ModuleNotFoundError: No module named 'packaging' [end of output]
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Missing "classes.json" file in example "OAK: YOLOv4-tiny Deployment.ipynb"

I'm following the OpenCV AI kit tutorial and one of the topics is about model deployment in OAK. I got stuck at step#3 of "SuperAnnotate_OAK_YOLOv4_tiny_Deployment" in COLAB. It returns error of missing "classes.json" file like below. Can somebody help on this? < FileNotFoundError Traceback (most recent call last) <ipython-input-15-226e3c0ca04b> in <module>() 23 class_names = set() 24 for folder_name in proj_folder.values(): ---> 25 with open('/content/training_data/' + folder_name +'/classes/classes.json', 'r') as f: 26 proj_class_data = json.load(f) 27 for class_entry in proj_class_data: FileNotFoundError: [Errno 2] No such file or directory: '/content/training_data/proj_0/classes/classes.json' />
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Template for the OAK-D

Hi, I wonder if there is a example project or template for the OAK-D colab example? https://colab.research.google.com/github/superannotateai/model-deployment-tutorials/blob/main/OAK/SuperAnnotate_OAK_Deeplabv3%2B_Deployment.ipynb#scrollTo=GhvXpjlY-G3e Kind regards Julian
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Cuboid with multiple vanishing points

Hello, I'd like to make cuboid annotations with multiple vanishing points (the current tool allows only for one). This can be actually as simple as unlocking the cuboid vertices positioning. Any idea if this feature will be added soon? Many thanks!
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