ax2mazhr/FLIR2YOLO
Convert FLIR formatted annotations to YOLO training format + Additional Directory tree formatting guide.
This tool helps machine learning engineers prepare thermal imaging data from FLIR datasets for object detection model training. It takes FLIR JSON annotation files and converts them into YOLO-formatted text files, complete with bounding box coordinates and class labels for each image. Additionally, it generates a list of image paths suitable for direct use in YOLO training configurations. This is ideal for those building computer vision applications using thermal cameras.
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Use this if you need to convert FLIR thermal image annotations into the YOLO format for training object detection models.
Not ideal if your annotations are not in the FLIR JSON format or you are not working with YOLO object detection models.
Stars
22
Forks
2
Language
Python
License
Unlicense
Category
Last pushed
Sep 19, 2022
Commits (30d)
0
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