{"id":2552,"date":"2021-06-11T09:00:53","date_gmt":"2021-06-11T09:00:53","guid":{"rendered":"http:\/\/www.synsense-neuromorphic.com\/?p=2552"},"modified":"2022-04-15T16:41:01","modified_gmt":"2022-04-15T16:41:01","slug":"%e6%97%b6%e8%af%86%e7%a7%91%e6%8a%80%c2%b7%e4%b8%ad%e7%a7%91%e9%99%a2%e8%8b%8f%e5%b7%9e%e7%ba%b3%e7%b1%b3%e6%89%80%e8%81%94%e5%90%88%e5%ae%9e%e9%aa%8c%e5%ae%a4%e6%8b%9b%e8%b4%a4%e7%ba%b3%e5%a3%ab","status":"publish","type":"post","link":"https:\/\/www.synsense.ai\/zh-hans\/%e6%97%b6%e8%af%86%e7%a7%91%e6%8a%80%c2%b7%e4%b8%ad%e7%a7%91%e9%99%a2%e8%8b%8f%e5%b7%9e%e7%ba%b3%e7%b1%b3%e6%89%80%e8%81%94%e5%90%88%e5%ae%9e%e9%aa%8c%e5%ae%a4%e6%8b%9b%e8%b4%a4%e7%ba%b3%e5%a3%ab\/","title":{"rendered":"\u65f6\u8bc6\u79d1\u6280\u00b7\u4e2d\u79d1\u9662\u82cf\u5dde\u7eb3\u7c73\u6240\u8054\u5408\u5b9e\u9a8c\u5ba4\u62db\u8d24\u7eb3\u58eb"},"content":{"rendered":"

\"\"<\/p>\n

\u7c7b\u8111\u667a\u80fd\u4e3a\u667a\u80fd\u4eff\u751f\u611f\u77e5\u7cfb\u7edf\u7684\u53d1\u5c55\u5e26\u6765\u4e86\u9769\u547d\u6027\u53d8\u5316\u3002\u65f6\u8bc6\u79d1\u6280\u00b7\u4e2d\u79d1\u9662\u82cf\u5dde\u7eb3\u7c73\u6240\u8054\u5408\u5b9e\u9a8c\u5ba4\u5c06\u4ee5\u4e2d\u79d1\u9662\u82cf\u5dde\u7eb3\u7c73\u6240\u4e3a\u4f9d\u6258\uff0c\u56f4\u7ed5\u5f20\u73fd\u7814\u7a76\u5458\u4e3b\u5bfc\u7684\u65b0\u578b\u4eff\u751f\u4f20\u611f\u5668\u6280\u672f\uff0c\u9762\u5411SynSense\u65f6\u8bc6\u79d1\u6280\u7c7b\u8111\u8ba1\u7b97\u53ca\u7c7b\u8111\u667a\u80fd\u82af\u7247\u6280\u672f\u7684\u5e94\u7528\uff0c\u53cc\u65b9\u5c06\u6df1\u5165\u5f00\u5c55\u591a\u6a21\u6001\u4eff\u751f\u7c7b\u8111\u667a\u80fd\u611f\u77e5\u5668\u4ef6\u3001\u57fa\u4e8e\u65b0\u6750\u6599\u65b0\u5668\u4ef6\u7684\u7c7b\u8111\u82af\u7247\u548c\u53ef\u690d\u5165\u5f0f\u7c7b\u8111\u667a\u80fd\u5668\u4ef6\u7b49\u65b9\u9762\u7684\u8054\u5408\u7814\u7a76\uff0c\u5e76\u5171\u540c\u52a0\u901f\u57fa\u4e8e\u7c7b\u8111\u667a\u80fd\u7684\u65b0\u578b\u4eff\u751f\u611f\u77e5\u6280\u672f\u5b75\u5316\u53ca\u4ea7\u4e1a\u5316\u843d\u5730\u3002<\/div>\n
<\/div>\n
\u4e3a\u8fdb\u4e00\u6b65\u63a8\u52a8\u4eff\u751f\u7c7b\u8111\u667a\u80fd\u611f\u77e5\u6280\u672f\u7684\u53d1\u5c55\uff0c\u82cf\u5dde\u8054\u5408\u5b9e\u9a8c\u5ba4\u9762\u5c31\u4ee5\u4e0b\u804c\u4f4d\u9762\u5411\u793e\u4f1a\u62db\u65b0\uff1a<\/div>\n
\n
\n<\/div>\n
 <\/div>\n
 <\/div>\n
\u804c\u4f4d1\uff1a\u7c7b\u8111\u7b97\u6cd5\u5de5\u7a0b\u5e08\uff08\u82cf\u5dde\uff09<\/strong><\/div>\n

\u5c97\u4f4d\u804c\u8d23\uff1a<\/p>\n

1\u3001\u4e0e\u4e16\u754c\u4e00\u6d41\u7684SynSense\u82cf\u9ece\u4e16\u53ca\u6210\u90fd\u7684\u8f6f\u4ef6\/\u7b97\u6cd5\u79d1\u5b66\u5bb6\u56e2\u961f\u7814\u53d1\u57fa\u4e8e\u7c7b\u8111\u8ba1\u7b97\u7684\u5e94\u7528\u7b97\u6cd5\u548c\u8bad\u7ec3\u7b97\u6cd5\uff1b
\n2\u3001\u7814\u53d1\u57fa\u4e8e\u4e8b\u4ef6\u76f8\u673a\uff0c\u4f4e\u7ef4\u4fe1\u53f7\uff08\u8bed\u97f3\uff0c ECG\u7b49\uff09\u7684\u4ea7\u54c1\u7ea7\u89e3\u51b3\u65b9\u6848\uff1b
\n3\u3001\u7c7b\u8111\u7b97\u6cd5\u7684\u5f00\u53d1\u4e0e\u5e94\u7528\uff0c \u6307\u5bfc\u548c\u5efa\u8bae\u7c7b\u8111\u82af\u7247\u7684\u529f\u80fd\u8bbe\u8ba1\uff1b
\n4\u3001\u914d\u5408IC\u548c\u7cfb\u7edf\u6574\u5408\u56e2\u961f\u5b8c\u6210\u7c7b\u8111\u7b97\u6cd5\u5230\u82af\u7247\u4e0a\u7684\u6620\u5c04\u548c\u6d4b\u8bd5\uff1b
\n5\u3001\u5b9e\u73b0\u65b0\u7684\u7b97\u6cd5\u529f\u80fd\/\u7279\u6027\uff0c\u4ee5\u53ca\u6587\u6863\u548c\u5355\u5143\u6d4b\u8bd5\uff1b
\n6\u3001\u6839\u636e\u9700\u6c42\u5b8c\u6210\u7b97\u6cd5\u6846\u67b6\u7684Bug\u4fee\u590d\u53ca\u91cd\u6784\uff1b
\n7\u3001\u4e3a\u5e94\u7528\u5f00\u53d1\u4eba\u5458\u548c\u7528\u6237\u7f16\u5199\u6587\u6863\u3002<\/p>\n

\u5c97\u4f4d\u8981\u6c42\uff1a
\n1\u3001\u7855\u58eb\u6216\u535a\u58eb\u5b66\u5386\u3002\u8ba1\u7b97\u673a\u79d1\u5b66\uff0c\u4fe1\u53f7\u5904\u7406\u548c\u4eba\u5de5\u667a\u80fd\u7b49\u76f8\u5173\u4e13\u4e1a\u80cc\u666f\uff1b
\n2\u3001\u826f\u597d\u7684\u82f1\u8bed\u542c\u8bf4\u8bfb\u5199\u80fd\u529b\uff1b
\n3\u3001\u719f\u7ec3\u81f3\u5c11\u4e00\u79cd\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6PyTorch\/Tensorflow\uff0c \u719f\u6089C++\/C\/python\u8bed\u8a00\u4e2d\u7684\u4e00\u79cd\u6216\u591a\u79cd\u3002\u4e86\u89e3\u5e38\u7528\u7b97\u6cd5\u5e76\u53ef\u4ee5\u5e94\u7528CUDA\u548cGPU\u8fd0\u7b97\u3002\u719f\u6089Linux\u64cd\u4f5c\u5e73\u53f0\u548cgit\u7b49\u64cd\u4f5c\uff1b
\n4\u3001\u5bf9\u795e\u7ecf\u5f62\u6001\u8ba1\u7b97\u3001\u8109\u51b2\u795e\u7ecf\u7f51\u7edc\uff0c\u89c6\u542c\u89c9\/\u4f4e\u7ef4\u4fe1\u53f7\u5904\u7406\u7b49\u9886\u57df\u6709\u6df1\u523b\u7406\u89e3\uff0c \u5e76\u53ef\u4ee5\u8ddf\u8e2a\u5f53\u524d\u4e3b\u6d41\u7c7b\u8111\u8ba1\u7b97\/\u6df1\u5ea6\u5b66\u4e60\u7b97\u6cd5\uff1b
\n5\u3001\u5177\u5907\u5b66\u672f\u64b0\u5199\u80fd\u529b\u5e76\u4ee5\u7b2c\u4e00\u4f5c\u8005\u5728\u76f8\u5173\u9886\u57df\u7684\u5b66\u672f\u4f1a\u8bae\u548c\u671f\u520a\u53d1\u8868\u8fc7\u8bba\u6587\u3002<\/p>\n

\u7b80\u5386\u6295\u9012\uff1ahr.cn@synsense.ai<\/p>\n

 <\/div>\n
 <\/div>\n
\n
\n<\/div>\n
\u804c\u4f4d2\uff1aFPGA\u5de5\u7a0b\u5e08\uff08\u82cf\u5dde\uff09<\/strong><\/div>\n

\u5c97\u4f4d\u804c\u8d23\uff1a<\/p>\n

FPGA\u5de5\u7a0b\u5e08\u5904\u7406\u57fa\u4e8e\u4e8b\u4ef6\u7684\u6570\u636e\u5206\u53d1\u4e0e\u5904\u7406\uff0c\u4e3a\u786c\u4ef6\u5f00\u53d1\u53ca\u4ea7\u54c1\u5f00\u53d1\u63d0\u4f9b\u652f\u63f4\uff0c\u4ee5\u652f\u6301\u57fa\u4e8e\u5168\u65b0\u82af\u7247\u67b6\u6784\u7684\u4ea7\u54c1\u53ca\u5e94\u7528\u5f00\u53d1\u3002<\/p>\n

\u6211\u4eec\u671f\u5f85\u60a8\uff1a<\/p>\n

1. \u8d1f\u8d23FPGA\u9879\u76ee\u4e2d\u7cfb\u7edf\u8bbe\u8ba1\u6216\u6a21\u5757\u5f00\u53d1\uff0c\u5305\u62ec\u65b9\u6848\u8bbe\u8ba1\u3001\u4ee3\u7801\u7f16\u5199\u3001\u4eff\u771f\u9a8c\u8bc1\u3001\u4e0a\u677f\u8c03\u8bd5\u3001\u7cfb\u7edf\u8054\u8c03\uff1b<\/p>\n

2. \u5206\u6790\u5e76\u89e3\u51b3\u5f00\u53d1\u8fc7\u7a0b\u4e2d\u7684\u95ee\u9898\uff0c\u4f18\u5316FPGA\u8d44\u6e90\u53ca\u65f6\u5e8f\uff0c\u63d0\u9ad8\u7cfb\u7edf\u6027\u80fd\uff1b<\/p>\n

3. \u914d\u5408\u5d4c\u5165\u5f0f\u8f6f\u4ef6\u3001\u786c\u4ef6\u5de5\u7a0b\u5e08\u8fdb\u884c\u677f\u7ea7\u8c03\u8bd5\u53ca\u7cfb\u7edf\u7ea7\u8054\u8c03\u5de5\u4f5c\uff1b<\/p>\n

4. \u53c2\u4e0e\u89e3\u51b3FPGA\u76f8\u5173\u6280\u672f\u95ee\u9898\uff1b<\/p>\n

\u804c\u4f4d\u8981\u6c42\uff1a<\/p>\n

1. \u7edf\u62db\u672c\u79d1\u53ca\u4ee5\u4e0a\u5b66\u5386\uff0c\u5fae\u7535\u5b50\u3001\u901a\u4fe1\u3001\u81ea\u52a8\u5316\u7b49\u76f8\u5173\u4e13\u4e1a<\/p>\n

2. 3\u5e74\u4ee5\u4e0a\uff08\u7855\u58eb2\u5e74\u4ee5\u4e0a\uff09FPGA\u5f00\u53d1\u7ecf\u9a8c\uff0c\u80fd\u72ec\u7acb\u5f00\u53d1\u548c\u79fb\u690dFPGA\u529f\u80fd\u6a21\u5757<\/p>\n

3. \u719f\u7ec3\u638c\u63e1VerilogHDL\/VHDL\uff0c\u719f\u6089FPGA\u6574\u4f53\u7684\u5f00\u53d1\u6d41\u7a0b\uff1b\u4f1aSpinalHDL\u7684\u4f18\u5148<\/p>\n

4. \u5177\u6709\u4e00\u5b9a\u7684\u6570\u5b57\u4fe1\u53f7\u5904\u7406\u57fa\u7840\uff0c\u80fd\u7528Python\u5b9e\u73b0\u4fe1\u53f7\u5904\u7406\u7b97\u6cd5\uff08DSP\uff09\u7684\u4f18\u5148\u3001\u539a\u5f85<\/p>\n

5. \u719f\u6089\u4e3b\u6d41\u5382\u5546FPGA\u5668\u4ef6\uff0c\u719f\u6089\u5176\u5f00\u53d1\u5de5\u5177\u3001\u73af\u5883\u3001\u8d44\u6e90\u53ca\u5176\u5e38\u7528IP<\/p>\n

6. \u719f\u6089\u4eff\u771f\u9a8c\u8bc1\u65b9\u6cd5\u53ca\u76f8\u5173EDA\u5de5\u5177<\/p>\n

7. \u786c\u4ef6\u529f\u5e95\u624e\u5b9e\uff0c\u6709\u8f83\u5f3a\u7684debug\u80fd\u529b\uff0c\u903b\u8f91\u5206\u6790\u80fd\u529b<\/p>\n

8. \u826f\u597d\u7684\u5b66\u4e60\u548c\u6c9f\u901a\u80fd\u529b\u3001\u82f1\u8bed\u542c\u8bf4\u80fd\u529b\u4f73\uff0c\u9ad8\u5ea6\u7684\u8d23\u4efb\u611f<\/p>\n

\u53e6\u5916\uff0c\u6211\u4eec\u671f\u671b\u60a8\uff1a<\/p>\n

1. \u81f3\u5c11\u5bf9\u4e00\u4e2a\u5d4c\u5165\u5f0f\u5904\u7406\u5668\u67b6\u6784\u6216MCU\/CPU\u7cfb\u7edf\u6709\u4e00\u5b9a\u7406\u89e3<\/p>\n

2. \u719f\u6089\u5e38\u7528\u7684\u5e76\u884c\u6216\u4e32\u884c\u63a5\u53e3\u903b\u8f91\uff0c\u5305\u62ec\u4f46\u4e0d\u9650\u4e8emipi\u3001SPI\u3001I2C\u3001UART\u3001I2S\u7b49<\/p>\n

3. \u719f\u6089\u5e38\u89c1\u7269\u8054\u7f51\u65e0\u7ebf\u901a\u4fe1\u534f\u8bae<\/p>\n

4. \u5bf9\u795e\u7ecf\u62df\u6001\u8ba1\u7b97\u3001\u8109\u51b2\u795e\u7ecf\u7f51\u7edc\u7b49\u6709\u4e00\u5b9a\u4e86\u89e3\u3002<\/p>\n

\u7b80\u5386\u6295\u9012\uff1ahr.cn@synsense.ai <\/p>\n

 <\/div>\n
 <\/div>\n
\n
\n<\/div>\n
C++\u9ad8\u7ea7\u8f6f\u4ef6\u5de5\u7a0b\u5e08\uff08\u82cf\u5dde\uff09<\/strong><\/div>\n
 <\/div>\n
 <\/div>\n

\u5c97\u4f4d\u804c\u8d23\uff1a<\/p>\n

C++\u9ad8\u7ea7\u8f6f\u4ef6\u5de5\u7a0b\u5e08\u9700\u80fd\u5904\u7406\u4ece\u8bbe\u5907\u9a71\u52a8\u7a0b\u5e8f\u5230\u57fa\u4e8e\u4e8b\u4ef6\u7684\u6570\u636e\u5904\u7406\u4ee5\u53ca\u6570\u636e\u53ef\u89c6\u5316\u7684\u6240\u6709\u4e8b\u60c5\uff0c\u4e3a\u786c\u4ef6\u5f00\u53d1\u548c\u4ea7\u54c1\u5f00\u53d1\u63d0\u4f9b\u652f\u6491\uff0c\u4ee5\u53ca\u4e3a\u7b97\u6cd5\u56e2\u961f\u63d0\u4f9b\u5de5\u5177\u94fe\u4ee5\u53ca\u5e93\uff0c\u652f\u6301\u57fa\u4e8e\u5168\u65b0\u786c\u4ef6\uff08\u82af\u7247\uff09\u7684\u7b97\u6cd5\u53ca\u5e94\u7528\u5f00\u53d1\u3002<\/p>\n

\u6211\u4eec\u671f\u5f85\u60a8\uff1a<\/p>\n

1. \u53c2\u4e0e\u8f6f\u4ef6\u5f00\u53d1\u7684\u5168\u8fc7\u7a0b\uff0c\u5305\u62ec\u7cfb\u7edf\u9700\u6c42\u5206\u6790\u3001\u5b9e\u73b0\u3001\u6d4b\u8bd5\u3001\u6587\u6863\u7f16\u5199\u53ca\u7ef4\u62a4\uff1b<\/p>\n

2. \u7cfb\u7edf\u96c6\u6210\uff0c\u5305\u542b\u7f16\u5199\u6d4b\u8bd5\u96c6\u53ca\u6536\u96c6\u9a8c\u8bc1\u6570\u636e\u96c6\uff1b<\/p>\n

3. \u57fa\u4e8e\u516c\u53f8\u795e\u7ecf\u62df\u6001\u5904\u7406\u5668\u5f00\u53d1\u5e73\u53f0\u7684\u642d\u5efa\uff0c\u4e3a\u516c\u53f8\u5ba2\u6237\u53ca\u516c\u53f8\u7b97\u6cd5\u56e2\u961f\u63d0\u4f9b\u8f6f\u4ef6\u652f\u6301\uff1b<\/p>\n

4. \u4e0e\u7b97\u6cd5\u56e2\u961f\u4e2d\u7684\u673a\u5668\u5b66\u4e60\u4e13\u5bb6\u5408\u4f5c\uff0c\u4e86\u89e3\u4ed6\u4eec\u7684\u9700\u6c42\u4ee5\u53ca\u6539\u8fdb\u4ed6\u4eec\u7684\u5de5\u4f5c\u6d41\u7a0b\uff1b<\/p>\n

5. \u4e0e\u8f6f\u4ef6\u56e2\u961f\u5176\u4ed6\u6210\u5458\u5408\u4f5c\uff0c\u63d0\u9ad8\u4ee3\u7801\u8d28\u91cf\u3002<\/p>\n

\u804c\u4f4d\u8981\u6c42\uff1a<\/p>\n

1. \u6709\u4e3a\u5f00\u53d1\u4eba\u5458\u6784\u5efa\u8f6f\u4ef6\u4ea7\u54c1\u548c\u5de5\u5177\u7684\u7ecf\u9a8c\uff0c\u5982SDK\u3001\u5e93\u6216IDE<\/p>\n

2. 5\u5e74\u4ee5\u4e0amodern C++\u7ecf\u9a8c\uff0811, 14, 17\uff09<\/p>\n

3. \u719f\u6089Linux\u7cfb\u7edf\uff0c\u6709\u6784\u5efa\u5de5\u5177\uff08CMake\uff0cMake\uff09\u548cgit\u7684\u7ecf\u9a8c<\/p>\n

4. \u826f\u597d\u7684\u82f1\u8bed\u542c\u8bf4\u80fd\u529b<\/p>\n

5. \u6709\u654f\u6377\u5f00\u53d1\u7ecf\u9a8c<\/p>\n

6. \u8ba1\u7b97\u673a\u79d1\u5b66\u3001\u6570\u5b66\u3001\u8f6f\u4ef6\u3001\u7535\u5b50\u7b49\u76f8\u5173\u9886\u57df\u7855\u58eb\u53ca\u4ee5\u4e0a\u5b66\u4f4d<\/p>\n

\u53e6\u5916\uff0c\u6211\u4eec\u671f\u671b\u60a8\uff1a<\/p>\n

1. \u81f3\u5c11\u5bf9\u4e00\u4e2a\u5904\u7406\u5668\u67b6\u6784\u6216MCU\/CPU\u7cfb\u7edf\u4e86\u89e3\u900f\u5f7b\uff0c\u5bf9\u65b0\u7684\u8ba1\u7b97\u67b6\u6784\u611f\u5174\u8da3<\/p>\n

2. \u719f\u6089C++\u6a21\u7248\u5143\u7f16\u7a0b<\/p>\n

3. \u4e86\u89e3Python\u89e3\u91ca\u5668<\/p>\n

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