Comments (3)
Hi, @Arshadoid. The imageWidth
and imageHieght
your json file are not the same as the imageData
size. (2160x3840 vs. 1024x1204). You need to use the label of the cropped image.
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Thank you for your feedback, I will check out the problem as soon as possible.
from labelme2yolo.
Hi, @Arshadoid. The
imageWidth
andimageHieght
your json file are not the same as theimageData
size. (2160x3840 vs. 1024x1204). You need to use the label of the cropped image.
Hi @GreatV Thanks for looking into this and pointing out the issue. Seems like labelme2yolo expects to have *.png images in the same folder otherwise it generates it from imagedata. In my case easy solution would be just to modify save_yolo_image function to point to original jpg images, as I have correct dimensions in jpg format, so it can get h and w. Thank you!
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Related Issues (12)
- Train, Validation and Test split overlap HOT 4
- Retrain - Classes need keep the old index and not discover HOT 4
- I tested in the example folder of labelme, and the resulting folders were all empty. HOT 1
- Error on convert only one file HOT 1
- Doubt about the result format HOT 2
- Cannot convert to yolov8n segmentation format HOT 2
- Issue converting labelme JSON to YOLODataset HOT 2
- labelme2yolo some error HOT 1
- Double fields HOT 2
- the pip package output a different file name HOT 4
- file name changed HOT 3
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