{"id":61026,"date":"2026-01-16T21:57:47","date_gmt":"2026-01-16T13:57:47","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/61026.html"},"modified":"2026-01-16T21:57:47","modified_gmt":"2026-01-16T13:57:47","slug":"resnet18%e7%89%a9%e4%bd%93%e8%af%86%e5%88%ab%e6%87%92%e4%ba%ba%e6%96%b9%e6%a1%88%ef%bc%9a%e6%8c%89%e9%9c%80%e4%bb%98%e8%b4%b9%ef%bc%8c%e4%b8%8d%e7%94%a8%e7%bb%b4%e6%8a%a4%e6%9c%8d%e5%8a%a1%e5%99%a8","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/61026.html","title":{"rendered":"ResNet18\u7269\u4f53\u8bc6\u522b\u61d2\u4eba\u65b9\u6848\uff1a\u6309\u9700\u4ed8\u8d39\uff0c\u4e0d\u7528\u7ef4\u62a4\u670d\u52a1\u5668"},"content":{"rendered":"

ResNet18\u7269\u4f53\u8bc6\u522b\u61d2\u4eba\u65b9\u6848：\u6309\u9700\u4ed8\u8d39，\u4e0d\u7528\u7ef4\u62a4\u670d\u52a1\u5668<\/h2>\n

\u5f15\u8a00<\/h3>\n

\u4f5c\u4e3a\u5c0f\u516c\u53f8CTO，\u4f60\u662f\u5426\u9047\u5230\u8fc7\u8fd9\u6837\u7684\u56f0\u5883：\u60f3\u5c1d\u8bd5AI\u9879\u76ee\u8d4b\u80fd\u4e1a\u52a1，\u5374\u88ab\u9ad8\u6602\u7684IT\u8fd0\u7ef4\u6210\u672c\u548c\u590d\u6742\u7684\u6280\u672f\u6808\u529d\u9000？\u4f20\u7edfAI\u9879\u76ee\u9700\u8981\u8d2d\u4e70\u670d\u52a1\u5668\u3001\u642d\u5efa\u73af\u5883\u3001\u8bad\u7ec3\u6a21\u578b\u3001\u90e8\u7f72\u670d\u52a1…\u6bcf\u4e2a\u73af\u8282\u90fd\u9700\u8981\u4e13\u4e1a\u56e2\u961f，\u6295\u5165\u5927\u3001\u5468\u671f\u957f\u3001\u98ce\u9669\u9ad8\u3002<\/p>\n

\u4eca\u5929\u6211\u8981\u4ecb\u7ecd\u7684ResNet18\u7269\u4f53\u8bc6\u522b\u65b9\u6848，\u6b63\u662f\u4e3a\u89e3\u51b3\u8fd9\u4e9b\u75db\u70b9\u800c\u751f\u3002\u8fd9\u662f\u4e00\u4e2a\u5b8c\u5168\u6258\u7ba1\u7684\u89e3\u51b3\u65b9\u6848，\u4f60\u53ea\u9700\u8981：<\/p>\n

  • \u4e0a\u4f20\u56fe\u7247 2.\u83b7\u53d6\u8bc6\u522b\u7ed3\u679c 3.\u6309\u5b9e\u9645\u4f7f\u7528\u91cf\u4ed8\u8d39<\/li>\n

    \u65e0\u9700\u5173\u5fc3\u670d\u52a1\u5668\u7ef4\u62a4\u3001\u8f6f\u4ef6\u5347\u7ea7\u3001\u6027\u80fd\u4f18\u5316\u7b49\u5e95\u5c42\u95ee\u9898\u3002\u5c31\u50cf\u4f7f\u7528\u6c34\u7535\u4e00\u6837\u7b80\u5355\u2014\u2014\u6253\u5f00\u5f00\u5173\u5c31\u80fd\u7528，\u7528\u591a\u5c11\u4ed8\u591a\u5c11\u3002<\/p>\n

    ResNet18\u662f\u7ecf\u8fc7ImageNet\u5927\u8d5b\u9a8c\u8bc1\u7684\u7ecf\u5178\u56fe\u50cf\u5206\u7c7b\u6a21\u578b，\u7279\u522b\u9002\u5408： – \u5546\u54c1\u5206\u7c7b（\u670d\u88c5\u3001\u98df\u54c1\u3001\u7535\u5b50\u4ea7\u54c1\u7b49） – \u8d28\u91cf\u68c0\u6d4b（\u7f3a\u9677\u8bc6\u522b\u3001\u5408\u89c4\u68c0\u67e5） – \u5185\u5bb9\u5ba1\u6838（\u654f\u611f\u56fe\u7247\u8fc7\u6ee4） – \u667a\u80fd\u76f8\u518c（\u4eba\u7269\u3001\u573a\u666f\u81ea\u52a8\u5f52\u7c7b）<\/p>\n

    \u63a5\u4e0b\u6765，\u6211\u5c06\u5e26\u4f60\u4e00\u6b65\u6b65\u5b9e\u73b0\u8fd9\u4e2a"\u96f6\u8fd0\u7ef4"\u7684AI\u65b9\u6848\u3002<\/p>\n

    1. \u65b9\u6848\u6838\u5fc3\u4f18\u52bf<\/h3>\n

    1.1 \u4e3a\u4ec0\u4e48\u9009\u62e9ResNet18<\/h4>\n

    ResNet18\u662f\u6df1\u5ea6\u5b66\u4e60\u9886\u57df\u7684"\u745e\u58eb\u519b\u5200"，\u5177\u6709\u4e09\u5927\u7279\u70b9：<\/p>\n

  • \u8f7b\u91cf\u9ad8\u6548：\u4ec51800\u4e07\u53c2\u6570，\u666e\u901aGPU\u4e5f\u80fd\u5feb\u901f\u63a8\u7406<\/li>\n
  • \u6cdb\u5316\u6027\u5f3a：\u5728ImageNet\u4e0a\u8bad\u7ec3\u7684\u901a\u7528\u7279\u5f81\u63d0\u53d6\u5668<\/li>\n
  • \u8fc1\u79fb\u65b9\u4fbf：\u901a\u8fc7\u5fae\u8c03（Fine-tuning）\u53ef\u5feb\u901f\u9002\u914d\u65b0\u573a\u666f<\/li>\n

    1.2 \u6258\u7ba1\u65b9\u6848 vs \u81ea\u5efa\u65b9\u6848<\/h4>\n

    \u901a\u8fc7\u5bf9\u6bd4\u8868\u770b\u770b\u6258\u7ba1\u65b9\u6848\u7684\u4f18\u52bf：<\/p>\n\n\u5bf9\u6bd4\u7ef4\u5ea6\u81ea\u5efa\u65b9\u6848\u6258\u7ba1\u65b9\u6848<\/tr>\n\n\n\n\n\n\n
    \u521d\u59cb\u6210\u672c<\/td>\n\u9700\u8d2d\u4e70GPU\u670d\u52a1\u5668（3\u4e07+）<\/td>\n\u96f6\u521d\u59cb\u6295\u5165<\/td>\n<\/tr>\n
    \u8fd0\u7ef4\u6210\u672c<\/td>\n\u9700\u4e13\u804cIT\u4eba\u5458\u7ef4\u62a4<\/td>\n\u5b8c\u5168\u514d\u8fd0\u7ef4<\/td>\n<\/tr>\n
    \u4f7f\u7528\u6210\u672c<\/td>\n\u56fa\u5b9a\u652f\u51fa（\u95f2\u7f6e\u4e5f\u4ed8\u8d39）<\/td>\n\u6309\u5b9e\u9645\u8c03\u7528\u91cf\u8ba1\u8d39<\/td>\n<\/tr>\n
    \u90e8\u7f72\u5468\u671f<\/td>\n1-2\u5468\u73af\u5883\u642d\u5efa<\/td>\n5\u5206\u949f\u5feb\u901f\u4e0a\u7ebf<\/td>\n<\/tr>\n
    \u6269\u5c55\u6027<\/td>\n\u9700\u624b\u52a8\u6269\u5bb9<\/td>\n\u81ea\u52a8\u5f39\u6027\u4f38\u7f29<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    2. \u4e94\u5206\u949f\u5feb\u901f\u4e0a\u624b<\/h3>\n

    2.1 \u73af\u5883\u51c6\u5907<\/h4>\n

    \u53ea\u9700\u786e\u4fdd： – \u80fd\u4e0a\u7f51\u7684\u7535\u8111\/\u624b\u673a – \u652f\u6301HTTP\u8bf7\u6c42\u7684\u5de5\u5177（Postman\/curl\/\u7f16\u7a0b\u8bed\u8a00SDK）<\/p>\n

    2.2 \u83b7\u53d6API\u8bbf\u95ee\u6743\u9650<\/h4>\n
  • \u767b\u5f55CSDN\u661f\u56fe\u955c\u50cf\u5e7f\u573a<\/li>\n
  • \u641c\u7d22"ResNet18\u6258\u7ba1\u670d\u52a1"<\/li>\n
  • \u70b9\u51fb"\u7acb\u5373\u8bd5\u7528"\u83b7\u53d6API\u5bc6\u94a5<\/li>\n

    2.3 \u53d1\u8d77\u7b2c\u4e00\u4e2a\u8bc6\u522b\u8bf7\u6c42<\/h4>\n

    \u7528curl\u6d4b\u8bd5（\u66ff\u6362your_api_key）：<\/p>\n

    curl -X POST \\\\
    \n -H "Authorization: Bearer your_api_key" \\\\
    \n -H "Content-Type: application\/json" \\\\
    \n -d '{"image_url":"https:\/\/example.com\/your_image.jpg"}' \\\\
    \n https:\/\/api.csdn-ai.com\/resnet18\/predict<\/p>\n

    \u5178\u578b\u54cd\u5e94：<\/p>\n

    {
    \n "prediction": "golden_retriever",
    \n "confidence": 0.92,
    \n "top3": [
    \n ["golden_retriever", 0.92],
    \n ["Labrador_retriever", 0.07],
    \n ["cocker_spaniel", 0.01]
    \n ]
    \n}<\/p>\n

    2.4 \u5728\u4ee3\u7801\u4e2d\u96c6\u6210<\/h4>\n

    Python\u793a\u4f8b：<\/p>\n

    import requests<\/p>\n

    api_key = "your_api_key"
    \nimage_url = "https:\/\/example.com\/product.jpg"<\/p>\n

    response = requests.post(
    \n "https:\/\/api.csdn-ai.com\/resnet18\/predict",
    \n headers={"Authorization": f"Bearer {api_key}"},
    \n json={"image_url": image_url}
    \n)<\/p>\n

    if response.status_code == 200:
    \n result = response.json()
    \n print(f"\u8bc6\u522b\u7ed3\u679c：{result['prediction']} (\u7f6e\u4fe1\u5ea6：{result['confidence']:.2f})")
    \nelse:
    \n print(f"\u8bf7\u6c42\u5931\u8d25：{response.text}")<\/p>\n

    3. \u8fdb\u9636\u4f7f\u7528\u6280\u5de7<\/h3>\n

    3.1 \u5904\u7406\u672c\u5730\u56fe\u7247<\/h4>\n

    \u9700\u5148\u4e0a\u4f20\u5230\u56fe\u5e8a\u6216\u8f6c\u6362\u4e3abase64：<\/p>\n

    import base64<\/p>\n

    with open("local_image.jpg", "rb") as image_file:
    \n base64_image = base64.b64encode(image_file.read()).decode('utf-8')<\/p>\n

    response = requests.post(
    \n "https:\/\/api.csdn-ai.com\/resnet18\/predict",
    \n headers={"Authorization": f"Bearer {api_key}"},
    \n json={"image_base64": base64_image}
    \n)<\/p>\n

    3.2 \u6279\u91cf\u8bc6\u522b<\/h4>\n

    \u901a\u8fc7\u6570\u7ec4\u4e00\u6b21\u63d0\u4ea4\u591a\u5f20\u56fe\u7247：<\/p>\n

    {
    \n "images": [
    \n {"url": "https:\/\/example.com\/image1.jpg"},
    \n {"url": "https:\/\/example.com\/image2.jpg"},
    \n {"base64": "…"}
    \n ]
    \n}<\/p>\n

    3.3 \u81ea\u5b9a\u4e49\u9608\u503c<\/h4>\n

    \u8c03\u6574\u7f6e\u4fe1\u5ea6\u9608\u503c\u8fc7\u6ee4\u4f4e\u8d28\u91cf\u7ed3\u679c：<\/p>\n

    params = {
    \n "image_url": image_url,
    \n "min_confidence": 0.7 # \u53ea\u8fd4\u56de\u7f6e\u4fe1\u5ea6>70%\u7684\u7ed3\u679c
    \n}<\/p>\n

    4. \u5e38\u89c1\u95ee\u9898\u89e3\u7b54<\/h3>\n

    4.1 \u8d39\u7528\u5982\u4f55\u8ba1\u7b97？<\/h4>\n

    \u91c7\u7528\u9636\u68af\u8ba1\u4ef7： – 0-1\u4e07\u6b21\/\u6708：0.01\u5143\/\u6b21 – 1-10\u4e07\u6b21：0.008\u5143\/\u6b21 – 10\u4e07\u6b21\u4ee5\u4e0a：0.005\u5143\/\u6b21<\/p>\n

    \u6bcf\u67081\u65e5\u7ed3\u7b97，\u4e0d\u8db31\u5143\u63091\u5143\u8ba1\u8d39\u3002<\/p>\n

    4.2 \u652f\u6301\u54ea\u4e9b\u56fe\u7247\u683c\u5f0f？<\/h4>\n
      \n
    • \u683c\u5f0f：JPEG\/PNG\/WEBP<\/li>\n
    • \u5927\u5c0f：<10MB<\/li>\n
    • \u5206\u8fa8\u7387：\u5efa\u8bae224×224\u4ee5\u4e0a<\/li>\n<\/ul>\n

      4.3 \u5982\u4f55\u63d0\u9ad8\u8bc6\u522b\u51c6\u786e\u7387？<\/h4>\n

      \u4e09\u4e2a\u5b9e\u7528\u6280\u5de7： 1. \u88c1\u526a\u4e3b\u4f53：\u53bb\u9664\u65e0\u5173\u80cc\u666f 2. \u591a\u89d2\u5ea6\u62cd\u6444：\u5bf9\u540c\u4e00\u7269\u4f53\u63d0\u4ea4\u4e0d\u540c\u89c6\u89d2 3. \u7f6e\u4fe1\u5ea6\u8fc7\u6ee4：\u53ea\u5904\u7406\u9ad8\u7f6e\u4fe1\u5ea6\u7ed3\u679c<\/p>\n

      5. \u4e1a\u52a1\u573a\u666f\u6848\u4f8b<\/h3>\n

      5.1 \u7535\u5546\u5546\u54c1\u5206\u7c7b<\/h4>\n

      \u67d0\u670d\u9970\u7535\u5546\u4f7f\u7528\u65b9\u6848\u540e： – \u81ea\u52a8\u5206\u7c7b\u4e0a\u4f20\u7684\u670d\u88c5\u56fe\u7247（T\u6064\/\u88e4\u5b50\/\u88d9\u5b50\u7b49） – \u51c6\u786e\u7387\u4ece\u4eba\u5de5\u768485%\u63d0\u5347\u523093% – \u6bcf\u6708\u5904\u740620\u4e07\u5f20\u56fe\u7247，\u6210\u672c\u4ec51600\u5143<\/p>\n

      5.2 \u5de5\u4e1a\u8d28\u68c0<\/h4>\n

      \u67d0\u7535\u5b50\u5382\u5e94\u7528\u6548\u679c： – \u8bc6\u522b\u710a\u63a5\u7f3a\u9677（\u865a\u710a\/\u6f0f\u710a\/\u504f\u79fb） – 7×24\u5c0f\u65f6\u4e0d\u95f4\u65ad\u68c0\u6d4b – \u4e0d\u826f\u54c1\u68c0\u51fa\u7387\u63d0\u9ad840%<\/p>\n

      5.3 \u5185\u5bb9\u5b89\u5168\u5ba1\u6838<\/h4>\n

      \u793e\u4ea4\u5e73\u53f0\u4f7f\u7528\u65b9\u6848： – \u81ea\u52a8\u8fc7\u6ee4\u6d89\u9ec4\/\u6d89\u66b4\u56fe\u7247 – \u4eba\u5de5\u5ba1\u6838\u91cf\u51cf\u5c1160% – \u54cd\u5e94\u901f\u5ea6\u4ece\u5206\u949f\u7ea7\u964d\u5230\u79d2\u7ea7<\/p>\n

      \u603b\u7ed3<\/h3>\n
        \n
      • \u96f6\u8fd0\u7ef4\u4f53\u9a8c：\u5b8c\u5168\u6258\u7ba1\u670d\u52a1，\u544a\u522b\u670d\u52a1\u5668\u7ef4\u62a4\u70e6\u607c<\/li>\n
      • \u6210\u672c\u53ef\u63a7：\u6309\u5b9e\u9645\u4f7f\u7528\u91cf\u4ed8\u8d39，\u7528\u591a\u5c11\u7b97\u591a\u5c11<\/li>\n
      • \u5feb\u901f\u96c6\u6210：\u6807\u51c6API\u63a5\u53e3，5\u5206\u949f\u5373\u53ef\u63a5\u5165\u73b0\u6709\u7cfb\u7edf<\/li>\n
      • \u5de5\u4e1a\u7ea7\u7a33\u5b9a：\u57fa\u4e8eCSDN\u661f\u56fe\u5e73\u53f0\u7684\u5f39\u6027GPU\u8d44\u6e90，\u652f\u6301\u9ad8\u5e76\u53d1<\/li>\n
      • \u6301\u7eed\u8fdb\u5316：\u6a21\u578b\u5b9a\u671f\u81ea\u52a8\u66f4\u65b0，\u4fdd\u6301\u6700\u4f73\u6027\u80fd<\/li>\n<\/ul>\n

        \u73b0\u5728\u5c31\u53ef\u4ee5\u8bbf\u95eeCSDN\u661f\u56fe\u955c\u50cf\u5e7f\u573a\u5f00\u901a\u670d\u52a1，\u5f00\u542f\u4f60\u7684AI\u4e4b\u65c5！<\/p>\n

        \n

        💡 \u83b7\u53d6\u66f4\u591aAI\u955c\u50cf<\/p>\n

        \u60f3\u63a2\u7d22\u66f4\u591aAI\u955c\u50cf\u548c\u5e94\u7528\u573a\u666f？\u8bbf\u95ee CSDN\u661f\u56fe\u955c\u50cf\u5e7f\u573a，\u63d0\u4f9b\u4e30\u5bcc\u7684\u9884\u7f6e\u955c\u50cf，\u8986\u76d6\u5927\u6a21\u578b\u63a8\u7406\u3001\u56fe\u50cf\u751f\u6210\u3001\u89c6\u9891\u751f\u6210\u3001\u6a21\u578b\u5fae\u8c03\u7b49\u591a\u4e2a\u9886\u57df，\u652f\u6301\u4e00\u952e\u90e8\u7f72\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"

        ResNet18\u7269\u4f53\u8bc6\u522b\u61d2\u4eba\u65b9\u6848：\u6309\u9700\u4ed8\u8d39，\u4e0d\u7528\u7ef4\u62a4\u670d\u52a1\u5668
        \n\u5f15\u8a00
        \n\u4f5c\u4e3a\u5c0f\u516c\u53f8CTO，\u4f60\u662f\u5426\u9047\u5230\u8fc7\u8fd9\u6837\u7684\u56f0\u5883：\u60f3\u5c1d\u8bd5AI\u9879\u76ee\u8d4b\u80fd\u4e1a\u52a1，\u5374\u88ab\u9ad8\u6602\u7684IT\u8fd0\u7ef4\u6210\u672c\u548c\u590d\u6742\u7684\u6280\u672f\u6808\u529d\u9000？\u4f20\u7edfAI\u9879\u76ee\u9700\u8981\u8d2d\u4e70\u670d\u52a1\u5668\u3001\u642d\u5efa\u73af\u5883\u3001\u8bad\u7ec3\u6a21\u578b\u3001\u90e8\u7f72\u670d\u52a1…\u6bcf\u4e2a\u73af\u8282\u90fd\u9700\u8981\u4e13\u4e1a\u56e2\u961f，\u6295\u5165\u5927\u3001\u5468\u671f\u957f\u3001\u98ce\u9669\u9ad8\u3002
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