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This repository has been archived by the owner on Mar 2, 2022. It is now read-only.
To annotate a task with a custom model I need to prepare 4 files:
Model config (*.xml) - a text file with network configuration.
Model weights (*.bin) - a binary file with trained weights.
Label map (*.json) - a simple json file with label_map dictionary like object with string values for label numbers.
Interpretation script (*.py) - a file used to convert net output layer to a predefined structure which can be processed by CVAT. This code will be run inside a restricted python's environment, but it's possible to use some builtin functions like str, int, float, max, min, range.
How can I get these files?
The text was updated successfully, but these errors were encountered:
I need to convert Yolo model to OpenVINO format for opencv/cvat/auto_annotation.
I use opencv CVAT for auto annotation https://github.com/opencv/cvat/tree/develop/cvat/apps/auto_annotation.
To annotate a task with a custom model I need to prepare 4 files:
How can I get these files?
The text was updated successfully, but these errors were encountered: