salehjg/DeepPoint-V2-FPGA
The code repository of DGCNN on FPGA: Acceleration of The Point Cloud Classifier Using FPGAs
This project helps hardware design engineers and researchers accelerate the classification of 3D point cloud data. It takes raw 3D point cloud scans, like those from LiDAR or 3D scanners, and processes them using a specialized algorithm to classify objects or shapes within the data. This is particularly useful for those working with FPGA (Field-Programmable Gate Array) platforms to achieve high-performance, low-latency processing.
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Use this if you are a hardware engineer or researcher who needs to rapidly classify 3D point cloud data using Xilinx FPGAs to achieve significant speedups over traditional CPU-based methods.
Not ideal if you are a software developer looking for a high-level API for point cloud classification without direct engagement with FPGA hardware acceleration.
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17
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3
Language
C++
License
GPL-3.0
Category
Last pushed
Mar 06, 2023
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