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I noticed that there are some samples in Jupyter notebook files... is this the best recommended approach ?
Tried to install PyCharm but had problems in configuring it to access PyRealSense2 ...
Thanks !
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You are very welcome - glad I can help!
Intel's Jupyter notebook tutorials can be found at this link:
https://github.com/IntelRealSense/librealsense/tree/jupyter/notebooks
They cover post-processing (depth_filters), using RealSense underwater or through aquarium glass (depth_under_water) and detecting distance using object recognition (distance_to_object).
There is also a point cloud example in another notebook location.
https://github.com/dorodnic/binder_test/blob/master/pointcloud.ipynb
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The documentation states that "librealsense2 does not provide hand-written Visual Studio, QT-Creator and XCode project files, as you can build librealsense with the IDE of your choice using portable CMake script".
If Pycharm is an appealing choice for you, some advice on configuring Pycharm for use with Pyrealsense2 can be found in the link below.
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Thanks Marty
I could install and make Jupyter Notebook importing pyrealsense2 without problems.
I remember in another post you mentioned about some Jupyter notebook examples with RealSense ... can you please refresh this info for me.
Again, thanks for your (as always) promptly and helpful guidance !
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You are very welcome - glad I can help!
Intel's Jupyter notebook tutorials can be found at this link:
https://github.com/IntelRealSense/librealsense/tree/jupyter/notebooks
They cover post-processing (depth_filters), using RealSense underwater or through aquarium glass (depth_under_water) and detecting distance using object recognition (distance_to_object).
There is also a point cloud example in another notebook location.
https://github.com/dorodnic/binder_test/blob/master/pointcloud.ipynb
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Excellent !
Thanks Marty !
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