Comments (2)
Hi,
Thanks for your interest in imagedataextractor. I've tried both examples and the issues are as follows.
- The issue is that you copied and pasted the code from the example jupyter notebook. In the notebook example, the size of the input image is larger than the image in your first example. This means that when you index your input image with [700:, 700:] to obtain the scalebar region, you get an error, because the image isn't as big. Simply remove this indexing
plt.imshow(sb_image)
or replace the indices with the correct ones for your image,
plt.imshow(sb_image[X:, Y:])
The correct indices will differ for different images.
- In this example, scalebar detection has failed and the scalebar is not found, meaning there are no scalebar contours to plot. You should be able to verify this by looking at the values of
sb_text
andconversion
, which should both beNone
in this case.
I hope this helps. Please star the repo if you find the library useful :)
Batuhan
from imagedataextractor.
Hi,
Thank you for the reply!
It does help in first case.
from imagedataextractor.
Related Issues (13)
- 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
- The scale bar of some images still fails to detect HOT 2
- 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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