{"id":815,"date":"2021-12-26T18:08:38","date_gmt":"2021-12-26T10:08:38","guid":{"rendered":"http:\/\/139.9.1.231\/?p=815"},"modified":"2021-12-28T20:13:47","modified_gmt":"2021-12-28T12:13:47","slug":"a-parameterisable-fpga-tailored-architecture-for-yolov3-tiny","status":"publish","type":"post","link":"http:\/\/139.9.1.231\/index.php\/2021\/12\/26\/a-parameterisable-fpga-tailored-architecture-for-yolov3-tiny\/","title":{"rendered":"A Parameterisable FPGA-tailored Architecture for YOLOv3-tiny"},"content":{"rendered":"\n

————– YOLOv3-tiny \u7684ZYNQ\u5b9e\u73b0<\/p>\n\n\n\n

\"\"\/<\/figure><\/div>\n\n\n\n

\u6458\u8981\uff1a<\/p>\n\n\n\n

\u5b9e\u9a8c\u8868\u660e\uff0c\u5f53\u9488\u5bf9\u4f4e\u7aef FPGA \u8bbe\u5907\u65f6\uff0c\u4e0e\u8bbe\u5907\u7684\u786c\u6838\u5904\u7406\u5668\u76f8\u6bd4\uff0c\u6240\u63d0\u51fa\u7684\u67b6\u6784\u5b9e\u73b0\u4e86 290 \u500d\u7684\u5ef6\u8fdf\u6539\u8fdb\uff0c\u540c\u65f6\u4e0e\u539f\u59cb\u6a21\u578b\u76f8\u6bd4\uff0cmAP \u4e0b\u964d\u4e862.5pp\uff0830.9% \u5bf9 33.4%\uff09\u3002 \u6240\u5448\u73b0\u7684\u5de5\u4f5c\u4e3a\u4f4e\u7aef FPGA \u8bbe\u5907\u4e0a\u7684\u4f4e\u5ef6\u8fdf\u5bf9\u8c61\u68c0\u6d4b\u5f00\u8f9f\u4e86\u9053\u8def\u3002<\/p>\n\n\n\n

introduction\uff1a<\/p>\n\n\n\n

\u76ee\u6807\u68c0\u6d4b\u6280\u672f\u7528\u4e8e\u68c0\u6d4b\u56fe\u50cf\u548c\u89c6\u9891\u4e2d\u7684\u5bf9\u8c61\u5b9e\u4f8b\u3002\u8fd9\u9879\u6280\u672f\u7684\u5e94\u7528\u53ef\u4ee5\u5728\u9ad8\u7ea7\u667a\u80fd\u7cfb\u7edf\u7684\u90e8\u7f72\u4e2d\u627e\u5230\uff0c\u5982\u5148\u8fdb\u7684\u9a7e\u9a76\u8f85\u52a9\u7cfb\u7edf(adas)\u548c\u89c6\u9891\u76d1\u63a7\u3002\u7cbe\u786e\u7684\u5bf9\u8c61\u5206\u7c7b\u548c\u5bf9\u8c61\u4f4d\u7f6e\u7684\u6807\u8bc6\u901a\u5e38\u662f\u5fc5\u9700\u7684\uff0c\u56e0\u4e3a\u8fd9\u4e9b\u4fe1\u606f\u6784\u6210\u4e86\u5e94\u7528\u7a0b\u5e8f\u7ba1\u9053\u7684\u5176\u4f59\u90e8\u5206\u8fdb\u4e00\u6b65\u5904\u7406\u548c\u51b3\u7b56\u7684\u57fa\u7840\u3002\u6700\u8fd1\uff0c\u5229\u7528\u673a\u5668\u5b66\u4e60\u7684\u6700\u65b0\u8fdb\u5c55\uff0c\u7279\u522b\u662f\u6df1\u5c42\u795e\u7ecf\u7f51\u7edc\u7684\u53d1\u5c55\uff0c\u7814\u7a76\u4eba\u5458\u548c\u5b9e\u8df5\u8005\u5f00\u53d1\u4e86\u5f3a\u5927\u7684\u76ee\u6807\u68c0\u6d4b\u7cfb\u7edf\uff0c\u53ef\u4ee5\u5728\u8bb8\u591a\u5177\u6709\u6311\u6218\u6027\u7684\u60c5\u51b5\u4e0b\u63d0\u4f9b\u51c6\u786e\u7684\u68c0\u6d4b\u3002\u6b64\u5916\uff0c\u5728\u9700\u8981\u8f83\u4f4e\u5904\u7406\u5ef6\u8fdf\u7684\u60c5\u51b5\u4e0b\uff0c\u8be5\u9886\u57df\u7684\u5de5\u4f5c\u5df2\u7ecf\u4ece\u626b\u63cf\u591a\u4e2a\u4f4d\u7f6e\u7684\u56fe\u50cf\u8f6c\u5411\u5e94\u7528\u56fe\u50cf\u5206\u7c7b\u5668(\u5373\u5c06\u76ee\u6807\u68c0\u6d4b\u95ee\u9898\u8f6c\u5316\u4e3a\u591a\u7a97\u53e3\u7684\u5206\u7c7b\u95ee\u9898) \uff0c\u8f6c\u800c\u5c06\u4e0a\u8ff0\u4e0d\u540c\u6b65\u9aa4\u7ec4\u5408\u5728\u4e00\u4e2a\u5355\u4e00\u7684\u7ba1\u9053\u4e2d\uff0c\u901a\u5e38\u57fa\u4e8e\u6df1\u5c42\u795e\u7ecf\u7f51\u7edc\u3002<\/p>\n\n\n\n

\u8fd9\u7bc7\u8bba\u6587\u7684\u521b\u65b0\u8d21\u732e<\/strong>\u662f\u9488\u5bf9YOLOv3tiny\u5de5\u4f5c\u8d1f\u8f7d\u5b9a\u5236\u7684\u5ef6\u8fdf\u4f18\u5316\u53c2\u6570\u5316\u67b6\u6784<\/strong>\uff08\u53ef\u4ee5\u6839\u636e\u786c\u4ef6\u8d44\u6e90\uff0c\u81ea\u5b9a\u4e49\u53c2\u6570<\/strong>\uff09\uff0c\u8be5\u67b6\u6784\u53ef\u6839\u636e\u4efb\u4f55\u76ee\u6807FPGA\u8bbe\u5907\u7684\u8d44\u6e90\u53ef\u7528\u6027\u8fdb\u884c\u8c03\u6574\u3002\u4e3a\u4e86\u5b9e\u73b0\u4e0a\u8ff0\u529f\u80fd\uff0c\u6211\u4eec\u4f7f\u7528Vivado HLS\u5f00\u53d1\u5e76\u5b9e\u73b0\u4e86\u4e00\u4e2a\u53ef\u53c2\u6570\u5316\u7684\u4f53\u7cfb\u7ed3\u6784\u3002\u5bfc\u51fa\u4e86\u6027\u80fd\u548c\u8d44\u6e90\u6a21\u578b\uff0c\u7528\u4e8e\u6307\u5bfc\u8bbe\u8ba1\u7a7a\u95f4\u63a2\u7d22\uff08DSE\uff09\u9636\u6bb5\uff0c\u4ee5\u786e\u5b9a\u4f18\u5316\u7cfb\u7edf\u5ef6\u8fdf\u7684\u8bbe\u8ba1\u70b9\uff0c\u540c\u65f6\u6ee1\u8db3\u8d44\u6e90\u7ea6\u675f\u3002
\u9488\u5bf9\u7684\u662f\u4f4e\u529f\u8017\u548c\u8d44\u6e90\u6709\u9650\u7684FPGA\u8bbe\u5907\uff0c\u9700\u8981\u4f7f\u7528\u7247\u5916\u5b58\u50a8\u5668\u6765\u5b58\u50a8\u7f51\u7edc\u7684\u53c2\u6570\u548c\u4e2d\u95f4\u7ed3\u679c<\/strong>\uff0c\u4ece\u800c\u80fd\u591f\u5728\u8d44\u6e90\u6781\u5176\u6709\u9650\u7684\u60c5\u51b5\u4e0b\u90e8\u7f72YOLOv3 tiny\u3002<\/p>\n\n\n\n

\u7f51\u7edc\u7ed3\u6784\uff1a<\/p>\n\n\n\n

YOLOv3 tiny\u63a5\u53d7416\u00d7416\u5206\u8fa8\u7387\u7684RGB\u56fe\u50cf\u4f5c\u4e3a\u8f93\u5165\u3002\u4e0eYOLOv3\u76f8\u53cd\uff0cYOLOv3 tiny\u53ea\u5728\u4e24\u79cd\u4e0d\u540c\u7684\u5c3a\u5ea6\u4e0a\u9884\u6d4b\u8fb9\u754c\u6846\u3002\u7b2c\u4e00\u4e2a\u6bd4\u4f8b\u5c06\u8f93\u5165\u56fe\u50cf\u5212\u5206\u4e3a13\u00d713\u4e2a\u7f51\u683c\uff0c\u800c\u7b2c\u4e8c\u4e2a\u6bd4\u4f8b\u572826\u00d726\u4e2a\u7f51\u683c\u4e0a\u64cd\u4f5c\u3002\u8be5\u6846\u67b6\u5728\u6bcf\u4e2a\u7f51\u683c\u4e2d\u751f\u6210\u4e09\u4e2a\u8fb9\u754c\u6846\u3002\u7f51\u7edc\u8f93\u51fa\u4e00\u4e2a3d\u5f20\u91cf\uff0c\u5176\u4e2d\u5305\u542b\u5173\u4e8e\u8fb9\u754c\u6846\u3001\u5bf9\u8c61\u53ef\u4fe1\u5ea6\u548c\u7c7b\u9884\u6d4b\u7684\u4fe1\u606f\u3002\u8be5\u7f51\u7edc\u4e3b\u8981\u4f7f\u7528\u4e94\u79cd\u7c7b\u578b\u7684\u5c42\uff1b\u5377\u79ef\u3001\u6700\u5927\u6c60\u3001\u8def\u7531\u3001\u4e0a\u91c7\u6837\u548cYolo\u5c42\u3002\u8def\u7531\u5c42\u8d1f\u8d23\u5728\u7f51\u7edc\u4e2d\u521b\u5efa\u4e0d\u540c\u7684\u6d41\uff0c\u5176\u4e2d\u4e0a\u91c7\u6837\u7528\u4e8e\u652f\u6301\u591a\u4e2a\u68c0\u6d4b\u6bd4\u4f8b\u3002Yolo\u5c42\u8d1f\u8d23\u751f\u6210\u8f93\u51fa\u5411\u91cf\u3002<\/p>\n\n\n\n

\"\"
yolov3\u7f51\u7edc\u6a21\u578b<\/figcaption><\/figure><\/div>\n\n\n\n

\u8fd9\u9879\u5de5\u4f5c\u7684\u76ee\u6807\u662f\u8bbe\u8ba1\u4e00\u79cd\u5ef6\u8fdf\u4f18\u5316\u548cFPGA\u5b9a\u5236\u67b6\u6784\uff0c\u8be5\u67b6\u6784\u53ef\u4ee5\u6839\u636e\u53ef\u7528\u7684FPGA\u8d44\u6e90\u8fdb\u884c\u5b9a\u5236\uff0c\u4ee5\u52a0\u901fYOLOv3\u5fae\u5c0f\u6a21\u578b\u7684\u63a8\u7406\u9636\u6bb5\u3002\u6240\u63d0\u51fa\u7684\u67b6\u6784\u5728HLS\u4e2d\u662f\u5b9a\u5236\u7684\uff0c\u7f16\u8bd1\u65f6\u53ef\u53c2\u6570\u5316\uff0c\u4ee5\u6709\u9650\u8d44\u6e90\u7684\u4f4e\u7aefFPGA\u8bbe\u5907\u4e3a\u76ee\u6807\uff0c\u56e0\u6b64\u7cfb\u7edf\u4e0d\u4f1a\u5bf9\u7528\u4e8e\u5b58\u50a8\u6570\u636e\u7684\u8db3\u591f\u7247\u4e0a\u5185\u5b58\u65bd\u52a0\u786c\u7ea6\u675f\u3002<\/p>\n\n\n\n

\u6a21\u5757\u8bbe\u8ba1\uff1a<\/p>\n\n\n\n

FPGA\u786c\u4ef6\u52a0\u901f\u5668\u7531\u4e94\u4e2a\u4e3b\u8981\u8ba1\u7b97\u6a21\u5757\u7ec4\u6210\uff1b\u5377\u79ef\u3001\u7d2f\u52a0\u3001\u6700\u5927\u6c60\u3001\u4e0a\u91c7\u6837\u548cyolo\u5757<\/p>\n\n\n\n

FPGA\u786c\u4ef6\u52a0\u901f\u5668\u8868\u793a\u63d0\u8bae\u7684FPGA\u67b6\u6784\uff0c\u7531\u4e09\u7ea7\u7ba1\u9053\u7ec4\u6210\uff0c\u5176\u4e2d\u6bcf\u4e00\u7ea7\u5bf9\u5e94\u4e00\u5c42YOLOv3\u5fae\u578b\u7f51\u7edc\u3002\u52a0\u901f\u5668\u7531\u8d1f\u8d23\u7cfb\u7edf\u603b\u4f53\u63a7\u5236\u7684ARM\u5904\u7406\u5668\u63a7\u5236\u3002\u6570\u636e\u548c\u6743\u91cd\u901a\u8fc7DMA\u63a5\u53e3\u5728\u52a0\u901f\u5668\u548c\u7247\u5916\u5b58\u50a8\u5668\u4e4b\u95f4\u4f20\u8f93\u3002FPGA\u52a0\u901f\u5668\u7531\u4e09\u7ea7\u6d41\u6c34\u7ebf\u7ec4\u6210\u3002\u7ba1\u9053\u7684\u7b2c\u4e00\u7ea7\u652f\u6301\u5377\u79ef\u5c42\u7684\u6267\u884c\uff0c\u5176\u8f93\u51fa\u5728\u7ba1\u9053\u7684\u7b2c\u4e8c\u7ea7\u4e2d\u7d2f\u79ef\u3002\u6839\u636e\u5728\u7ed9\u5b9a\u65f6\u95f4\u6267\u884c\u7684\u7f51\u7edc\u7ed3\u6784\uff0c\u7d2f\u52a0\u7ed3\u679c\u5c06\u53d1\u9001\u5230Max pooling\u3001Upsample\u6216YLO\u5c42\u8fdb\u884c\u8fdb\u4e00\u6b65\u5904\u7406<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

\u5728\u63a8\u7406\u9636\u6bb5\uff0cARM\u5904\u7406\u5668\u5145\u5f53\u4e3b\u5904\u7406\u5668\u5e76\u63a7\u5236\u63a8\u7406\u8fc7\u7a0b\u3002\u7f51\u7edc\u7684\u8ba1\u7b97\u88ab\u5206\u89e3\u4e3a\u66f4\u5c0f\u7684\u7ec4\u4ef6\uff0c\u5373\u5c42\u6279\u6b21\uff0c\u7531\u5904\u7406\u5668\u8c03\u5ea6\u5e76\u6309\u987a\u5e8f\u6267\u884c\u3002\u56fe4\u6355\u83b7\u4e86\u5355\u5c42\u6279\u6b21\u7684\u5904\u7406\u6d41\u7a0b\u3002\u66f4\u5177\u4f53\u5730\u8bf4\uff0cARM\u5904\u7406\u5668\u9996\u5148\u4e3a\u786c\u4ef6\u52a0\u901f\u5668\u4e2d\u7684\u6bcf\u4e2a\u5355\u72ec\u5757\u8bbe\u7f6e\u53c2\u6570\uff0c\u5e76\u914d\u7f6eDMA\u6a21\u5757\u3002\u7136\u540e\uff0c\u5b83\u901a\u8fc7DMA\u6d41\u542f\u52a8\u6743\u91cd\u52a0\u8f7d\u548c\u8f93\u5165\u6570\u636e\u4f20\u8f93\u5230\u786c\u4ef6\u52a0\u901f\u5668\u3002FPGA\u52a0\u901f\u5757\u5f00\u59cb\u5904\u7406\u6570\u636e\uff0c\u5e76\u5c06\u8f93\u51fa\u6570\u636e\u4f20\u8f93\u56de\u7247\u5916DDR\u5b58\u50a8\u5668\u3002\u76f8\u5e94\u7f13\u5b58\u533a\u57df\u7684\u5fc5\u8981\u5931\u6548\u7531\u5904\u7406\u5668\u6267\u884c\uff0c\u4ee5\u786e\u4fdd\u6b63\u786e\u7684\u6570\u636e\u4f20\u8f93\u3002<\/p>\n\n\n\n

\u5b9e\u9a8c\u9a8c\u8bc1\uff1a<\/p>\n\n\n\n

\u4f7f\u7528\u5177\u6709Xilinx XC7Z020 SoC\u548c512 MB DDR3\u7684Zedboard\u5f00\u53d1\u5de5\u5177\u5305\u5bf9\u63d0\u8bae\u7684\u6846\u67b6\u8fdb\u884c\u8bc4\u4f30\u3002\u53ef\u7f16\u7a0b\u903b\u8f91\u4e0e\u5904\u7406\u7cfb\u7edf\u7684\u65f6\u949f\u9891\u7387\u4e3a100MHz\u548c666\u3002\u5206\u522b\u4e3a7MHz\u3002\u8bbe\u8ba1\u7a7a\u95f4\u63a2\u7d22\u9636\u6bb5\u4ee5\u6574\u4e2a\u8bbe\u5907\u7684\u5229\u7528\u7387\u4e3a\u76ee\u6807\uff0c\u786e\u5b9a\u6ee1\u8db3\u53ef\u7528\u8d44\u6e90\u6240\u65bd\u52a0\u7ea6\u675f\u7684\u591a\u4e2a\u8bbe\u8ba1\u70b9\uff0c\u5e76\u9884\u6d4b\u6bcf\u4e2a\u70b9\u7684\u5ef6\u8fdf\u6570\u5b57\u3002\u7a7f\u8d8a\u7684\u7a7a\u95f4\u5982\u56fe5\u6240\u793a\u3002\u6027\u80fd\u6700\u597d\u7684\u8bbe\u8ba1\u5b9e\u73b0\u4e86\u6bcf\u6b21\u63a8\u65ad\uff08\u5728\u7535\u8def\u677f\u4e0a\u6d4b\u91cf\uff09532ms\u7684\u5ef6\u8fdf\uff0c\u9700\u8981185\u4e2aBRAM\u3001160\u4e2aDSP\u300125\u4e2aCPU\u30029k LUT\u548c46\u30027k\u81ea\u7531\u6d41\u901f\u5ea6\u3002\u6d4b\u91cf\u7684\u529f\u8017\u4e3a3\u300236W<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

<\/p>\n\n\n\n

\u8bba\u6587\uff1a<\/strong><\/p>\n\n\n\n

Yu Z, Bouganis C S, Rinc\u00f3n F, et al. A Parameterisable FPGA-Tailored Architecture for YOLOv3-Tiny[C]\/\/ARC. 2020: 330-344.<\/p>\n","protected":false},"excerpt":{"rendered":"

————– YOLOv3-tiny \u7684ZYNQ\u5b9e\u73b0 … \u7ee7\u7eed\u9605\u8bfbA Parameterisable FPGA-tailored Architecture for YOLOv3-tiny<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[13,9],"tags":[],"_links":{"self":[{"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/posts\/815"}],"collection":[{"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/comments?post=815"}],"version-history":[{"count":20,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/posts\/815\/revisions"}],"predecessor-version":[{"id":883,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/posts\/815\/revisions\/883"}],"wp:attachment":[{"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/media?parent=815"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/categories?post=815"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/tags?post=815"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}