Comments (1)
@Awader28 to convert YOLO darknet txt to YOLOv7 PyTorch TXT, you can use the train.py
script in the YOLOv5 repository. Simply specify the --img-size
parameter and use the --data
and --cfg
flags to point to your YOLOv7 dataset and model configuration files, respectively. You can refer to the YOLOv5 documentation at https://docs.ultralytics.com for detailed instructions on using the script.
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Related Issues (20)
- Empty and Missing labels after conversion HOT 6
- Converting the COCO keypoints format to YOLOv8 pose format. HOT 17
- δΈζ ε¨ HOT 1
- Convert coco segment to yolo segment HOT 15
- No Output HOT 10
- Multi-class labeling HOT 1
- merge_multi_segment HOT 2
- There are absolutely no explanations on how to run the code or what parameters one should use HOT 5
- Code is running but the results are not are not saved HOT 8
- TypeError: string indices must be integers HOT 5
- Segmentation Data Normalization for TrashCan Dataset HOT 2
- Labelme2Yolo ? HOT 5
- No .yaml file? HOT 3
- Converting fsco-dataset .json format into yolov8 acceptance format HOT 1
- How to convert files annotated with linestrip in labelme to yolo HOT 7
- coco2yolo error
- A tutorial or some examples? HOT 3
- Issue with saving txt file HOT 1
- May be this is a bug in save folder file names in txt files. HOT 3
- KeyError: 'iscrowd' HOT 1
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