How to get Ground Truth Depth Image?
Hi
https://dev.intelrealsense.com/docs/tensorflow-with-intel-realsense-cameras
In this page, on Part 4,
you mentioned that there are 4 types of images are required for training.
I wonder how to get ground truth depth image data from realsense camera.
Thanks
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Hi Encyrine. The ground truth of RealSense depth measurements can be obtained by adding a minus-value to the measurements. Pages 72 and 73 of the current edition of the data sheet document for the 400 Series cameras list the minus value to add for particular RealSense models. There are two separate tables for the models with front glass (D415, D435, D435i, D455) and the caseless Depth Module versions.
https://dev.intelrealsense.com/docs/intel-realsense-d400-series-product-family-datasheet
Note that if you have a Depth Module model and are measuring from the back of the module instead of from the camera lens then a positive value is subtracted instead.
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Thank you for the additional information. You could try reducing invalid and nan values by applying a post-processing filter called a Temporal Filter that can decide whether to replace a value with stored historical data.
The Hole-filling post processing filter can also do pixel corrections, with settings such as having invalid pixels use the value of a neighboring pixel.
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