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foreground segmentation algorithms and point cloud data conversion - preprocessing for CNN model

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Data_Preprocessing

Main.py includes three parts of code: Color filtering, depth filtering, and conversion from RGB-D image to point cloud data. The conversion is based on three formulas: for each point: z = d x = (u - cx) / fx * z y = (v - cy) / fy * z

where cx, cy, fx, fy are the camera intrinsics

The point cloud data was then colored and stored. It will be matched with internal images and processed later.

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foreground segmentation algorithms and point cloud data conversion - preprocessing for CNN model

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