Comments (5)
Thank you so much !
I think it would be really helpful to add a note about the jupyter error or to try and fix the path issue so it's easier to use the notebook :D
from panel-segmentation.
Hey @ahmadbelb when you create the pseg.PanelDetection() class, use the location of the models in the Panel-segmentation package as the file paths. Were you able to resolve this? I can add a comment addressing this specifically in the Jupyter notebook
from panel-segmentation.
from panel-segmentation.
For object detection, I'm using labelImg: https://github.com/tzutalin/labelImg
For segmentation, I'm using labelme: https://github.com/wkentaro/labelme
Check out the two labeled data sets for this repo here:
https://datahub.duramat.org/dataset/solar-mounting-configuration-satellite-imagery-data
https://datahub.duramat.org/dataset/satellite-images-training-and-validation-set
from panel-segmentation.
@ahmadbelb wanted to give you a heads up--I just pushed up a new PR into master that resolves this path issue, so you no longer need to reference the file paths directly. Thank you for the feedback!
from panel-segmentation.
Related Issues (12)
- Incorporate LIDAR for tilt estimates.
- Branch for mounting configuration detection. HOT 1
- Branch for mounting type detection. HOT 1
- Make the directions for getting API key clearer.
- Additional metadata features
- Deprecate connected components clustering.
- Update model paths so they're build directly into the routine.
- Erroring when installing lfs files via git clone.
- Deploy the panel-segmentation package on PyPi.
- Build totally unsupervised clustering algorithm. HOT 1
- Try the rectangle method.
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from panel-segmentation.