Comments (2)
Hi,
Thanks for your interest in imagedataextractor.
Currently, scalebar detection is not perfect and fails in many seemingly straightforward cases. This is due to the underlying optical character recognition model used to read the scalebars. I have plans to improve this model by fine-tuning it on a larger set of scalebar images, but I haven't got round to it yet.
Although it can be tedious, my suggestion in cases where scalebar detection fails is to manually measure the scalebar in pixels and calculate the conversion this way. This is what I have been doing in my work for images where scalebar detection fails.
I hope this helps. Please star the repo if you find the library useful :)
Batuhan
from imagedataextractor.
Okay, I will try to manually change the axis and look forward to your release of the new version.
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Related Issues (13)
- scalebar issuse HOT 2
- OpenCV error HOT 6
- list object has no attribute segmentation HOT 3
- Finetuning IDE scalebar detection HOT 2
- error: OpenCV(4.5.5) /io/opencv/modules/dnn/src/layers/convolution_layer.cpp:404: error: (-2:Unspecified error) Number of input channels should be multiple of 3 but got 4 in function 'getMemoryShapes' HOT 1
- Chemical Reaction Figure Extraction
- cvDrawContours HOT 2
- manully measure scalebar HOT 2
- Scalebar conversion HOT 4
- particle size HOT 4
- xml read error HOT 1
- Not reading image files HOT 3
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