计算机视觉创新实验平台研制
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摘要
研制了一款基于NVIDIA JetsonTX1的计算机视觉创新实验平台。由于原基于ARM的MCU或者DSP已经无法满足其对算力的要求,因此该实验平台采用了内置GPU的TX1嵌入式芯片组,并且具备丰富外设接口,使得面向计算机视觉的创新实验不再局限于PC机,可以进行面向应用的嵌入式开发,做到理论结合实践,增强实验教学效果。
A computer vision innovation experimental platform based on NVIDIA Jetson TX1 is developed. Because the original MCU or DSP based on ARM can't meet the requirement of computing power, the experimental platform adopts TX1 embedded chipset with built-in GPU with rich peripheral interfaces, which makes the innovative experiment oriented to computer vision no longer confined to PC, and can carry out application-oriented embedded development, so as to combine theory with practice and enhance the experimental teaching effect.
A computer vision innovation experimental platform based on NVIDIA Jetson TX1 is developed. Because the original MCU or DSP based on ARM can't meet the requirement of computing power, the experimental platform adopts TX1 embedded chipset with built-in GPU with rich peripheral interfaces, which makes the innovative experiment oriented to computer vision no longer confined to PC, and can carry out application-oriented embedded development, so as to combine theory with practice and enhance the experimental teaching effect.
引文
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[2] 王柳祎.基于DM642芯片的嵌入式双目机器视觉平台[J].电视技术,2007(6):94-96.
[3] 冯帅,张龙,贺小慧.基于Jetson TK1和深度卷积神经网络的行人检测[J].信息技术,2017(10):62-64,68.
[4] 王腾腾.基于图编程的嵌入式机器视觉算法平台研究[D].杭州:杭州电子科技大学,2016.
[5] Nvidia.Jetson-TX1introduction[EB/OL].https://www.nvidia.cn/object/jetson-tk1-embedded-dev-kit-cn.html.
[6] Nvidia.Jetson_TX1_Accelerated_GStreamer_User_Guide[EB/OL].https://developer.download.nvidia.com/embedded/L4T/r28_Release_v1.0/Docs/Jetson_TX1_Accelerated_GStreamer_User_Guide.pdf.
[7] ERTAM F,AYDLN G.Data classification with deep learning using Tensorflow[C]//International Conference on Computer Science and Engineering.2017.
[8] 谢红韬,杨斌,张翠芳.一种照度自适应车道检测算法及多核平台实现[J].单片机与嵌入式系统应用,2017(7):23-27.
[9] 王鹏,袁嘉菁,梁辉强,等.浅议在汽车上运用的CAN总线[J].电子测试,2017(23):115-116.
[10] 夏广浩,马万太.基于GPS/北斗和GPRS的车载监控系统设计与开发[J].机械制造与自动化,2018(3):205-207.
[11] 林初善,冉金志,李倩茹,等.高速印制电路板设计[J].中国科技信息,2013(22):125-127.
[12] DALAL N,TRIGGS B.Histograms of Oriented Gradients for Human Detection[C]//Computer Society Conference on Computer Vision and Pattern Recognition.2005.
[13] FELZENSZWALB P F,GIRSHICK R B.Visual object detection with deformable part models[C]//Communications of the ACM.2013:97-105.
[14] 王晓,踪琳.基于OpenCV视觉库的嵌入式视频处理系统[J].电子质量,2017(3):54-59.
[15] REN Shaoqing,HE Kaiming.Faster R-CNN:Towards Real-Time Object Detection with Region Proposal Networks[J].IEEE Transactions on Pattern Analysis and Machine Intelligence.2017(6):1137-1149.
[16] REDMON J,FARHADI A.YOLOv3:An Incremental Improvement[C]//Computer Vision and Pattern Recognition.2018.