{"id":29781,"date":"2025-04-20T12:51:42","date_gmt":"2025-04-20T04:51:42","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/29781.html"},"modified":"2025-04-20T12:51:42","modified_gmt":"2025-04-20T04:51:42","slug":"atlas800%e6%98%87%e8%85%be%e6%9c%8d%e5%8a%a1%e5%99%a8%ef%bc%88%e5%9e%8b%e5%8f%b7%ef%bc%9a3000%ef%bc%89-yolo%e5%85%a8%e7%b3%bb%e5%88%97om%e6%a8%a1%e5%9e%8b%e8%bd%ac%e6%8d%a2%e6%b5%8b%e8%af%95","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/29781.html","title":{"rendered":"Atlas800\u6607\u817e\u670d\u52a1\u5668\uff08\u578b\u53f7\uff1a3000\uff09\u2014YOLO\u5168\u7cfb\u5217om\u6a21\u578b\u8f6c\u6362\u6d4b\u8bd5\uff08\u4e09\uff09"},"content":{"rendered":"

\u670d\u52a1\u5668\u914d\u7f6e\u5982\u4e0b：<\/h3>\n

CPU\/NPU：\u9cb2\u9e4f CPU（ARM64）+A300I pro\u63a8\u7406\u5361 \u7cfb\u7edf：Kylin V10 SP1\u3010\u4e0b\u8f7d\u94fe\u63a5\u3011\u3010\u5b89\u88c5\u94fe\u63a5\u3011 \u9a71\u52a8\u4e0e\u56fa\u4ef6\u7248\u672c\u7248\u672c： Ascend-hdk-310p-npu-driver_23.0.1_linux-aarch64.run\u3010\u4e0b\u8f7d\u94fe\u63a5\u3011 Ascend-hdk-310p-npu-firmware_7.1.0.4.220.run\u3010\u4e0b\u8f7d\u94fe\u63a5\u3011 MCU\u7248\u672c：Ascend-hdk-310p-mcu_23.2.3\u3010\u4e0b\u8f7d\u94fe\u63a5\u3011 CANN\u5f00\u53d1\u5957\u4ef6：\u7248\u672c7.0.1\u3010Toolkit\u4e0b\u8f7d\u94fe\u63a5\u3011\u3010Kernels\u4e0b\u8f7d\u94fe\u63a5\u3011<\/p>\n

\u6d4b\u8bd5om\u6a21\u578b\u73af\u5883\u5982\u4e0b：<\/h3>\n

Python：\u7248\u672c3.8.11 \u6d4b\u8bd5YOLO\u7cfb\u5217：v5\/6\/7\/8\/9\/10\/11<\/p>\n

\u4e13\u680f\u5176\u4ed6\u6587\u7ae0： Atlas800\u6607\u817e\u670d\u52a1\u5668（\u578b\u53f7：3000）\u2014\u9a71\u52a8\u4e0e\u56fa\u4ef6\u5b89\u88c5（\u4e00） Atlas800\u6607\u817e\u670d\u52a1\u5668（\u578b\u53f7：3000）\u2014CANN\u5b89\u88c5（\u4e8c） Atlas800\u6607\u817e\u670d\u52a1\u5668（\u578b\u53f7：3000）\u2014YOLO\u5168\u7cfb\u5217om\u6a21\u578b\u8f6c\u6362\u6d4b\u8bd5（\u4e09） Atlas800\u6607\u817e\u670d\u52a1\u5668（\u578b\u53f7：3000）\u2014AIPP\u52a0\u901f\u524d\u5904\u7406（\u56db） Atlas800\u6607\u817e\u670d\u52a1\u5668（\u578b\u53f7：3000）\u2014YOLO\u5168\u7cfb\u5217NPU\u63a8\u7406\u3010\u68c0\u6d4b\u3011（\u4e94） Atlas800\u6607\u817e\u670d\u52a1\u5668（\u578b\u53f7：3000）\u2014YOLO\u5168\u7cfb\u5217NPU\u63a8\u7406\u3010\u5b9e\u4f8b\u5206\u5272\u3011（\u516d） Atlas800\u6607\u817e\u670d\u52a1\u5668（\u578b\u53f7：3000）\u2014YOLO\u5168\u7cfb\u5217NPU\u63a8\u7406\u3010\u5173\u952e\u70b9\u3011（\u4e03） Atlas800\u6607\u817e\u670d\u52a1\u5668（\u578b\u53f7：3000）\u2014YOLO\u5168\u7cfb\u5217NPU\u63a8\u7406\u3010\u8ddf\u8e2a\u3011（\u516b）<\/p>\n

1 \u73af\u5883\u5b89\u88c5<\/h3>\n

1.1 miniconda\u5b89\u88c5<\/h4>\n

\u94fe\u63a5：https:\/\/docs.anaconda.com\/miniconda\/index.html \"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"<\/p>\n

\u5b89\u88c5\u540e，\u521b\u5efa\u4e00\u4e2a\u540dyolo\u7684\u73af\u5883\u3010Python==3.8.11\u3011：<\/p>\n

# \u6ce8\u610f：\u521b\u5efa\u666e\u901a\u7528\u6237\u5e76\u8fdb\u5165\u7528\u6237\u518d\u8fd0\u884c\u5982\u4e0b<\/span>
\n# \u9009\u62e9\u4e00\u4e2a\u4e00\u4e2a\u53ef\u4e0b\u8f7d\u7684\u6587\u4ef6\u76ee\u5f55，\u4f7f\u7528wget\u547d\u4ee4\u4e0b\u8f7d(\u56de\u8f66)<\/span>
\nwget https:<\/span>\/\/<\/span>repo.<\/span>anaconda.<\/span>com\/<\/span>miniconda\/<\/span>Miniconda3–<\/span>latest–<\/span>Linux–<\/span>aarch64.<\/span>sh<\/p>\n

# \u5b89\u88c5\u4e2d：<\/span>
\n# 1.\u4e00\u8defenter（\u56de\u8f66）\u4e0b\u53bb，\u76f4\u5230\u95eeyes，\u8f93\u5165yes\u3002<\/span>
\n# 2.\u6211\u4f7f\u7528\u9ed8\u8ba4\u8def\u5f84\/gdu\/miniconda\/ ，\u4e0d\u66f4\u6539\u7684\u7ee7\u7eed\u56de\u8f66\u5c31\u597d\u3002<\/span>
\n# 3.\u7136\u540e\u6700\u540e\u4e00\u4e2a\u95ee\u662f\u5426\u5199\u5165\u8def\u5f84，\u63d0\u793a\u4e3aNo,\u5efa\u8bae\u8f93\u5165yes（\u5982\u679c\u8f93\u5165No\u4e86，\u9700\u8981\u81ea\u5df1\u53bb\u914d\u7f6e\u4e0b\u5730\u5740）<\/span>
\nbash Miniconda3–<\/span>latest–<\/span>Linux–<\/span>aarch64.<\/span>sh<\/p>\n

# \u6b64\u65f6\u5b8c\u6210\u5b89\u88c5\u540e\u6ca1\u6709\u5728root\u7528\u6237\u524d\u663e\u793aconda\u73af\u5883，\u8f93\u5165<\/span>
\nsource ~<\/span>\/<\/span>.<\/span>bashrc<\/p>\n

# \u521b\u5efapython=3.8.11\u57fa\u7840\u73af\u5883<\/span>
\nconda create –<\/span>n yolo python=<\/span>3.8<\/span>.11<\/span><\/p>\n

\u6362\u6e90\u53c2\u8003：https:\/\/mirrors.tuna.tsinghua.edu.cn\/help\/anaconda\/<\/p>\n

1.2 \u5b89\u88c5ATC\u6240\u9700\u4f9d\u8d56\u5e93<\/h4>\n

\u6ce8\u610f：\u5b89\u88c5\u4e3aATC\u8f6c\u6362\u7684\u5fc5\u987b\u4f9d\u8d56\u73af\u5883，\u4e0b\u9762\u64cd\u4f5c\u5728CANN\u4e2d\u6709\u5728root\u4e0a\u88c5，\u8fd9\u91cc\u662f\u65b0\u7528\u6237\u65b0\u73af\u5883，\u9700\u518d\u5b89\u88c5\u914d\u7f6e\u4e00\u6b21！！ \u7b2c\u4e00\u6b21（\u76f4\u63a5\u88c5\u5747\u6210\u529f）：<\/p>\n

conda activate yolo<\/p>\n

pip install attrs cython decorator sympy cffi pyyaml pathlib2 psutil protobuf requests absl–<\/span>py –<\/span>i https:<\/span>\/\/<\/span>pypi.<\/span>tuna.<\/span>tsinghua.<\/span>edu.<\/span>cn\/<\/span>simple<\/p>\n

\u7b2c\u4e8c\u6b21（\u5229\u7528pip\u8fdb\u884cscipy\u5b89\u88c5，1.8.0\u4e5f\u53ef\u4ee5，\u4f1a\u987a\u5e26\u628anumpy\u4e00\u8d77\u5b89\u88c5，\u7248\u672c\u4e3a1.22.4）：<\/p>\n

pip install scipy==<\/span>1.7<\/span>.0<\/span> –<\/span>i https:<\/span>\/\/<\/span>pypi.<\/span>tuna.<\/span>tsinghua.<\/span>edu.<\/span>cn\/<\/span>simple<\/p>\n

\u6ce8\u610f：\u5b89\u88c5\u5b8c\u9700source ~\/bashrc\u624d\u80fd\u751f\u6548！<\/p>\n

# 1.\u8fdb\u5165\u8fd0\u884c\u73af\u5883yolo\u3010\u666e\u901a\u7528\u6237\u3011<\/span>
\nconda activate yolo
\n# 2.\u6fc0\u6d3batc\u3010atc –help\u6d4b\u8bd5\u662f\u5426\u53ef\u884c\u3011<\/span>
\nsource ~<\/span>\/<\/span>bashrc<\/p>\n

2 om\u6a21\u578b\u8f6c\u6362\u6d4b\u8bd5<\/h3>\n

2.1 \u9759\u6001onnx\u8f6c\u6362\u6d4b\u8bd5<\/h4>\n

\u6ce8\u610f：\u4ee5\u4e0b\u6d4b\u8bd5\u6a21\u578b\u5747\u4e3a\u9759\u6001onnx！ YOLOv5\u6d4b\u8bd5：\u3010\u68c0\u6d4b\/\u5206\u5272om\u5747\u751f\u6210\u6210\u529f\u3011<\/p>\n

# \u8f6c\u6362\u793a\u4f8b<\/span>
\natc –<\/span>–<\/span>framework=<\/span>5<\/span> –<\/span>–<\/span>model=<\/span>yolov5s.<\/span>onnx –<\/span>–<\/span>input_format=<\/span>NCHW –<\/span>–<\/span>input_shape=<\/span>"images:1,3,640,640"<\/span> –<\/span>–<\/span>output_type=<\/span>FP32 –<\/span>–<\/span>output=<\/span>yolov5s –<\/span>–<\/span>soc_version=<\/span>Ascend310P3<\/p>\n

YOLOv6\u6d4b\u8bd5：\u3010\u68c0\u6d4b\/\u5206\u5272om\u5747\u751f\u6210\u6210\u529f\u3011<\/p>\n

# \u8f6c\u6362\u793a\u4f8b<\/span>
\natc –<\/span>–<\/span>framework=<\/span>5<\/span> –<\/span>–<\/span>model=<\/span>yolov6s.<\/span>onnx –<\/span>–<\/span>input_format=<\/span>NCHW –<\/span>–<\/span>input_shape=<\/span>"images:1,3,640,640"<\/span> –<\/span>–<\/span>output_type=<\/span>FP32 –<\/span>–<\/span>output=<\/span>yolov6s –<\/span>–<\/span>soc_version=<\/span>Ascend310P3<\/p>\n

YOLOv7\u6d4b\u8bd5：\u3010\u68c0\u6d4bom\u5747\u751f\u6210\u6210\u529f\u3011<\/p>\n

# \u8f6c\u6362\u793a\u4f8b<\/span>
\natc –<\/span>–<\/span>framework=<\/span>5<\/span> –<\/span>–<\/span>model=<\/span>yolov7.<\/span>onnx –<\/span>–<\/span>input_format=<\/span>NCHW –<\/span>–<\/span>input_shape=<\/span>"images:1,3,640,640"<\/span> –<\/span>–<\/span>output_type=<\/span>FP32 –<\/span>–<\/span>output=<\/span>yolov7 –<\/span>–<\/span>soc_version=<\/span>Ascend310P3<\/p>\n

YOLOv8\u6d4b\u8bd5：\u3010\u68c0\u6d4b\/\u5206\u5272\/\u5173\u952e\u70b9om\u5747\u751f\u6210\u6210\u529f\u3011<\/p>\n

# \u8f6c\u6362\u793a\u4f8b<\/span>
\natc –<\/span>–<\/span>framework=<\/span>5<\/span> –<\/span>–<\/span>model=<\/span>yolov8s.<\/span>onnx –<\/span>–<\/span>input_format=<\/span>NCHW –<\/span>–<\/span>input_shape=<\/span>"images:1,3,640,640"<\/span> –<\/span>–<\/span>output_type=<\/span>FP32 –<\/span>–<\/span>output=<\/span>yolov8s –<\/span>–<\/span>soc_version=<\/span>Ascend310P3<\/p>\n

YOLOv9\u6d4b\u8bd5：\u3010\u68c0\u6d4bom\u5747\u751f\u6210\u6210\u529f\u3011<\/p>\n

# \u8f6c\u6362\u793a\u4f8b<\/span>
\natc –<\/span>–<\/span>framework=<\/span>5<\/span> –<\/span>–<\/span>model=<\/span>yolov9s.<\/span>onnx –<\/span>–<\/span>input_format=<\/span>NCHW –<\/span>–<\/span>input_shape=<\/span>"images:1,3,640,640"<\/span> –<\/span>–<\/span>output_type=<\/span>FP32 –<\/span>–<\/span>output=<\/span>yolov9s –<\/span>–<\/span>soc_version=<\/span>Ascend310P3<\/p>\n

YOLOv10\u6d4b\u8bd5：\u3010\u68c0\u6d4bom\u751f\u6210\u6210\u529f，\u4f46\u51fa\u73b0\u7b97\u5b50\u544a\u8b66\u3011<\/p>\n

# \u8f6c\u6362\u793a\u4f8b<\/span>
\natc –<\/span>–<\/span>framework=<\/span>5<\/span> –<\/span>–<\/span>model=<\/span>yolov10s.<\/span>onnx –<\/span>–<\/span>input_format=<\/span>NCHW –<\/span>–<\/span>input_shape=<\/span>"images:1,3,640,640"<\/span> –<\/span>–<\/span>output_type=<\/span>FP32 –<\/span>–<\/span>output=<\/span>yolov10s –<\/span>–<\/span>soc_version=<\/span>Ascend310P3<\/p>\n

\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"<\/p>\n

YOLOv11\u6d4b\u8bd5：\u3010\u68c0\u6d4b\/\u5206\u5272\/\u5173\u952e\u70b9om\u5747\u751f\u6210\u6210\u529f\u3011<\/p>\n

atc –<\/span>–<\/span>framework=<\/span>5<\/span> –<\/span>–<\/span>model=<\/span>yolo11s.<\/span>onnx –<\/span>–<\/span>input_format=<\/span>NCHW –<\/span>–<\/span>input_shape=<\/span>"images:1,3,640,640"<\/span> –<\/span>–<\/span>output_type=<\/span>FP32 –<\/span>–<\/span>output=<\/span>yolo11s –<\/span>–<\/span>soc_version=<\/span>Ascend310P3<\/p>\n

\u6210\u529f\u663e\u793a\u5982\u4e0b： \"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"<\/p>\n

YOLOv8s\u9759\u6001640*640\u8017\u65f6\u6d4b\u8bd5\u7ed3\u679c： \"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"<\/p>\n

2.2 \u52a8\u6001\u5bbd\u9ad8onnx\u8f6c\u6362\u6d4b\u8bd5<\/h4>\n

（1）YOLOV8\u5bfc\u51fa\u5bbd\u9ad8\u52a8\u6001ONNX \u8def\u5f84：ultralytics-main\/ultralytics\/engine\/exporter.py \"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\" （2）\u751f\u6210\u5bbd\u9ad8\u52a8\u6001Om<\/p>\n

atc –<\/span>–<\/span>framework=<\/span>5<\/span> –<\/span>–<\/span>model=<\/span>A_onnx\/<\/span>yolov8s_wh.<\/span>onnx –<\/span>–<\/span>output=<\/span>A_om\/<\/span>yolov8s_wh –<\/span>–<\/span>input_format=<\/span>NCHW –<\/span>–<\/span>input_shape=<\/span>"images:1,3,-1,-1"<\/span> –<\/span>–<\/span>dynamic_image_size "640,640;960,960;1024,1024;1280,1280;1536,1536;2048,2048"<\/span> –<\/span>–<\/span>soc_version=<\/span>Ascend310P3<\/p>\n

YOLOv8s\u52a8\u6001\u5bbd\u9ad8640*640\u8017\u65f6\u6d4b\u8bd5\u7ed3\u679c：\u3010\u5b58\u5728om\u5c3a\u5ea6\u68c0\u67e5\u673a\u5236，\u63a8\u7406\u901f\u5ea6\u66f4\u6162\u3011 \"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"<\/p>\n","protected":false},"excerpt":{"rendered":"

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