\u914d\u7f6elinux\u7cfb\u7edf\u4ee5\u652f\u6301\u667a\u80fd\u4ea4\u901a\u548c\u667a\u6167\u7269\u6d41\u5f00\u53d1<\/p>\n
\u667a\u80fd\u4ea4\u901a\u548c\u667a\u6167\u7269\u6d41\u662f\u5f53\u524d\u793e\u4f1a\u53d1\u5c55\u7684\u70ed\u95e8\u8bdd\u9898\u4e4b\u4e00\uff0c\u5df2\u7ecf\u6210\u4e3a\u4e86\u57ce\u5e02\u53d1\u5c55\u548c\u4ea4\u901a\u8fd0\u8f93\u9886\u57df\u7684\u91cd\u8981\u65b9\u5411\u3002\u4e3a\u4e86\u652f\u6301\u667a\u80fd\u4ea4\u901a\u548c\u667a\u6167\u7269\u6d41\u7684\u5f00\u53d1\uff0c\u914d\u7f6eLinux\u7cfb\u7edf\u662f\u4e00\u9879\u5fc5\u8981\u7684\u5de5\u4f5c\u3002\u5728\u672c\u6587\u4e2d\uff0c\u6211\u4eec\u5c06\u4ecb\u7ecd\u5982\u4f55\u914d\u7f6eLinux\u7cfb\u7edf\u4ee5\u652f\u6301\u8fd9\u4e24\u4e2a\u9886\u57df\u7684\u5f00\u53d1\uff0c\u5e76\u63d0\u4f9b\u4e00\u4e9b\u4ee3\u7801\u793a\u4f8b\u3002<\/p>\n
\u4e00\u3001\u5b89\u88c5Linux\u7cfb\u7edf<\/p>\n
\u9996\u5148\uff0c\u6211\u4eec\u9700\u8981\u5b89\u88c5\u4e00\u5957Linux\u64cd\u4f5c\u7cfb\u7edf\u3002\u5728\u8fd9\u91cc\uff0c\u6211\u4eec\u63a8\u8350\u4f7f\u7528Ubuntu\uff0c\u8fd9\u662f\u4e00\u6b3e\u975e\u5e38\u6d41\u884c\u7684Linux\u53d1\u884c\u7248\uff0c\u5177\u6709\u4e30\u5bcc\u7684\u8f6f\u4ef6\u5e93\u548c\u5f3a\u5927\u7684\u5f00\u53d1\u5de5\u5177\u3002<\/p>\n
\u60a8\u53ef\u4ee5\u4eceUbuntu\u5b98\u65b9\u7f51\u7ad9\u4e0b\u8f7d\u6700\u65b0\u7684\u7cfb\u7edf\u955c\u50cf\u6587\u4ef6\uff0c\u5e76\u6309\u7167\u5b98\u65b9\u6587\u6863\u7684\u6b65\u9aa4\u8fdb\u884c\u5b89\u88c5\u3002\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u60a8\u5c31\u62e5\u6709\u4e86\u4e00\u4e2a\u57fa\u672c\u7684Linux\u5f00\u53d1\u73af\u5883\u3002<\/p>\n
\u4e8c\u3001\u5b89\u88c5\u5fc5\u8981\u7684\u5f00\u53d1\u5de5\u5177\u548c\u5e93<\/p>\n
\u5728\u5f00\u59cb\u8fdb\u884c\u667a\u80fd\u4ea4\u901a\u548c\u667a\u6167\u7269\u6d41\u5f00\u53d1\u4e4b\u524d\uff0c\u6211\u4eec\u9700\u8981\u5b89\u88c5\u4e00\u4e9b\u5fc5\u8981\u7684\u5f00\u53d1\u5de5\u5177\u548c\u5e93\u3002\u5728Linux\u7cfb\u7edf\u4e2d\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528apt-get\u547d\u4ee4\u6765\u8fdb\u884c\u8f6f\u4ef6\u7684\u5b89\u88c5\u3002<\/p>\n
\u4ee5\u5b89\u88c5Python\u4e3a\u4f8b\uff0c\u60a8\u53ef\u4ee5\u5728\u7ec8\u7aef\u4e2d\u8fd0\u884c\u4ee5\u4e0b\u547d\u4ee4\uff1a<\/p>\n
sudo apt-get update\nsudo apt-get install python3<\/pre>\n\u767b\u5f55\u540e\u590d\u5236 <\/p>\n
\u540c\u6837\u5730\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528apt-get\u547d\u4ee4\u6765\u5b89\u88c5\u5176\u4ed6\u5fc5\u8981\u7684\u8f6f\u4ef6\u548c\u5e93\uff0c\u5982OpenCV\u3001TensorFlow\u7b49\u3002<\/p>\n
\u4e09\u3001\u667a\u80fd\u4ea4\u901a\u5f00\u53d1\u793a\u4f8b<\/p>\n
\u5728\u667a\u80fd\u4ea4\u901a\u9886\u57df\u7684\u5f00\u53d1\u4e2d\uff0c\u8f66\u8f86\u8bc6\u522b\u548c\u4ea4\u901a\u6d41\u91cf\u76d1\u63a7\u662f\u4e24\u4e2a\u91cd\u8981\u7684\u65b9\u9762\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u4f7f\u7528OpenCV\u5e93\u5b9e\u73b0\u8f66\u8f86\u8bc6\u522b\u7684\u793a\u4f8b\u4ee3\u7801\uff1a<\/p>\n
import cv2\n\n# \u52a0\u8f7d\u8f66\u8f86\u8bc6\u522b\u6a21\u578b\ncar_cascade = cv2.CascadeClassifier('car_cascade.xml')\n\n# \u6253\u5f00\u6444\u50cf\u5934\ncap = cv2.VideoCapture(0)\n\nwhile True:\n # \u8bfb\u53d6\u6444\u50cf\u5934\u5e27\n ret, frame = cap.read()\n\n # \u5c06\u5e27\u8f6c\u4e3a\u7070\u5ea6\u56fe\u50cf\n gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)\n\n # \u4f7f\u7528\u8f66\u8f86\u8bc6\u522b\u6a21\u578b\u68c0\u6d4b\u8f66\u8f86\n cars = car_cascade.detectMultiScale(gray, 1.1, 4)\n\n # \u7ed8\u5236\u8f66\u8f86\u8fb9\u754c\u6846\n for (x, y, w, h) in cars:\n cv2.rectangle(frame, (x, y), (x+w, y+h), (255, 0, 0), 2)\n\n # \u663e\u793a\u5904\u7406\u540e\u7684\u5e27\n cv2.imshow('Car Detection', frame)\n\n # \u6309\u4e0bEsc\u952e\u9000\u51fa\n if cv2.waitKey(1) == 27:\n break\n\n# \u91ca\u653e\u6444\u50cf\u5934\u548c\u7a97\u53e3\ncap.release()\ncv2.destroyAllWindows()<\/pre>\n\u767b\u5f55\u540e\u590d\u5236 <\/p>\n
\u8fd9\u6bb5\u4ee3\u7801\u4f7f\u7528\u4e86OpenCV\u5e93\u4e2d\u7684\u8f66\u8f86\u8bc6\u522b\u6a21\u578b\uff0c\u901a\u8fc7\u6444\u50cf\u5934\u8bfb\u53d6\u6bcf\u4e00\u5e27\u56fe\u50cf\uff0c\u5e76\u68c0\u6d4b\u5176\u4e2d\u7684\u8f66\u8f86\uff0c\u5c06\u8f66\u8f86\u8fb9\u754c\u6846\u7ed8\u5236\u5230\u56fe\u50cf\u4e0a\u3002\u6700\u540e\uff0c\u5c06\u5904\u7406\u540e\u7684\u5e27\u663e\u793a\u51fa\u6765\u3002<\/p>\n
\u56db\u3001\u667a\u6167\u7269\u6d41\u5f00\u53d1\u793a\u4f8b<\/p>\n
\u5728\u667a\u6167\u7269\u6d41\u9886\u57df\u7684\u5f00\u53d1\u4e2d\uff0c\u8d27\u7269\u8ffd\u8e2a\u548c\u4f18\u5316\u914d\u9001\u8def\u5f84\u662f\u4e24\u4e2a\u5173\u952e\u7684\u95ee\u9898\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u4f7f\u7528Google Maps API\u5b9e\u73b0\u8d27\u7269\u8ffd\u8e2a\u548c\u8def\u5f84\u89c4\u5212\u7684\u793a\u4f8b\u4ee3\u7801\uff1a<\/p>\n
import googlemaps\n\n# \u521d\u59cb\u5316Google Maps\u5ba2\u6237\u7aef\nclient = googlemaps.Client(key='YOUR_API_KEY')\n\n# \u83b7\u53d6\u8d27\u7269\u5f53\u524d\u4f4d\u7f6e\ncurrent_location = client.geolocate()['location']\n\n# \u83b7\u53d6\u76ee\u7684\u5730\u7684\u5730\u7406\u5750\u6807\ndestination = client.geocode('Destination Address')[0]['geometry']['location']\n\n# \u7ed8\u5236\u8d27\u7269\u5f53\u524d\u4f4d\u7f6e\u548c\u76ee\u7684\u5730\u4e4b\u95f4\u7684\u6700\u4f18\u8def\u5f84\ndirections = client.directions(current_location, destination, mode='driving')\n\n# \u8f93\u51fa\u8def\u5f84\u4fe1\u606f\nfor step in directions[0]['legs'][0]['steps']:\n print(step['html_instructions'])\n\n# \u83b7\u53d6\u8d27\u7269\u5f53\u524d\u4f4d\u7f6e\u548c\u76ee\u7684\u5730\u4e4b\u95f4\u8ddd\u79bb\u7684\u4f30\u8ba1\u65f6\u95f4\ndistance_matrix = client.distance_matrix(origins=current_location, destinations=destination, mode='driving')\nprint(\"Estimated time: \" + distance_matrix['rows'][0]['elements'][0]['duration']['text'])<\/pre>\n\u767b\u5f55\u540e\u590d\u5236 <\/p>\n
\u8fd9\u6bb5\u4ee3\u7801\u4f7f\u7528\u4e86Google Maps API\u6765\u83b7\u53d6\u8d27\u7269\u5f53\u524d\u4f4d\u7f6e\u548c\u76ee\u7684\u5730\u4e4b\u95f4\u7684\u6700\u4f18\u8def\u5f84\uff0c\u5e76\u8ba1\u7b97\u5b83\u4eec\u4e4b\u95f4\u7684\u8ddd\u79bb\u548c\u4f30\u8ba1\u65f6\u95f4\u3002\u6700\u540e\uff0c\u8f93\u51fa\u8def\u5f84\u4fe1\u606f\u548c\u4f30\u8ba1\u65f6\u95f4\u3002<\/p>\n
\u901a\u8fc7\u4ee5\u4e0a\u793a\u4f8b\u4ee3\u7801\uff0c\u6211\u4eec\u53ef\u4ee5\u770b\u5230\u5982\u4f55\u4f7f\u7528Linux\u7cfb\u7edf\u6765\u5b9e\u73b0\u667a\u80fd\u4ea4\u901a\u548c\u667a\u6167\u7269\u6d41\u7684\u5f00\u53d1\u3002\u5f53\u7136\uff0c\u8fd9\u53ea\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u5f00\u59cb\uff0c\u60a8\u53ef\u4ee5\u6839\u636e\u5b9e\u9645\u9700\u6c42\u548c\u5177\u4f53\u7b97\u6cd5\u8fdb\u884c\u8fdb\u4e00\u6b65\u7684\u5f00\u53d1\u548c\u4f18\u5316\u3002<\/p>\n
\u901a\u8fc7\u914d\u7f6eLinux\u7cfb\u7edf\uff0c\u6211\u4eec\u53ef\u4ee5\u83b7\u5f97\u4e00\u4e2a\u5f3a\u5927\u7684\u5f00\u53d1\u73af\u5883\uff0c\u4e3a\u667a\u80fd\u4ea4\u901a\u548c\u667a\u6167\u7269\u6d41\u7684\u5f00\u53d1\u63d0\u4f9b\u652f\u6301\u3002\u5e0c\u671b\u672c\u6587\u5bf9\u60a8\u6709\u6240\u5e2e\u52a9\uff0c\u795d\u60a8\u5728\u667a\u80fd\u4ea4\u901a\u548c\u667a\u6167\u7269\u6d41\u9886\u57df\u5f00\u53d1\u4e2d\u53d6\u5f97\u6210\u529f\uff01<\/p>\n
\u4ee5\u4e0a\u5c31\u662f\u914d\u7f6eLinux\u7cfb\u7edf\u4ee5\u652f\u6301\u667a\u80fd\u4ea4\u901a\u548c\u667a\u6167\u7269\u6d41\u5f00\u53d1\u7684\u8be6\u7ec6\u5185\u5bb9\uff0c\u66f4\u591a\u8bf7\u5173\u6ce8FDCServers\u5176\u5b83\u76f8\u5173\u6587\u7ae0\uff01<\/p>\n","protected":false},"excerpt":{"rendered":"
\u914d\u7f6elinux\u7cfb\u7edf\u4ee5\u652f\u6301\u667a\u80fd\u4ea4\u901a\u548c\u667a\u6167\u7269\u6d41\u5f00\u53d1 \u667a\u80fd\u4ea4\u901a\u548c\u667a\u6167\u7269\u6d41\u662f\u5f53\u524d\u793e\u4f1a\u53d1\u5c55\u7684\u70ed\u95e8\u8bdd\u9898\u4e4b\u4e00\uff0c\u5df2\u7ecf\u6210\u4e3a\u4e86\u57ce\u5e02\u53d1\u5c55\u548c\u4ea4\u901a\u8fd0\u8f93\u9886\u57df\u7684\u91cd\u8981\u65b9\u5411\u3002\u4e3a\u4e86\u652f\u6301\u667a\u80fd\u4ea4\u901a\u548c\u667a\u6167\u7269\u6d41\u7684\u5f00\u53d1\uff0c\u914d\u7f6eLinux\u7cfb\u7edf\u662f\u4e00\u9879\u5fc5\u8981\u7684\u5de5\u4f5c\u3002\u5728\u672c\u6587\u4e2d\uff0c\u6211\u4eec\u5c06\u4ecb\u7ecd\u5982\u4f55\u914d\u7f6eLinux\u7cfb\u7edf\u4ee5\u652f\u6301\u8fd9\u4e24\u4e2a\u9886\u57df\u7684\u5f00\u53d1\uff0c\u5e76\u63d0\u4f9b\u4e00\u4e9b\u4ee3\u7801\u793a\u4f8b\u3002 \u4e00\u3001\u5b89\u88c5Linux\u7cfb\u7edf \u9996\u5148\uff0c\u6211\u4eec\u9700\u8981\u5b89\u88c5\u4e00\u5957Linux\u64cd\u4f5c\u7cfb\u7edf\u3002\u5728\u8fd9\u91cc\uff0c\u6211\u4eec\u63a8\u8350\u4f7f\u7528Ubuntu\uff0c\u8fd9\u662f\u4e00\u6b3e\u975e\u5e38\u6d41\u884c\u7684Linux\u53d1\u884c\u7248\uff0c\u5177\u6709\u4e30\u5bcc\u7684\u8f6f\u4ef6\u5e93\u548c\u5f3a\u5927\u7684\u5f00\u53d1\u5de5\u5177\u3002 \u60a8\u53ef\u4ee5\u4eceUbuntu\u5b98\u65b9\u7f51\u7ad9\u4e0b\u8f7d\u6700\u65b0\u7684\u7cfb\u7edf\u955c\u50cf\u6587\u4ef6\uff0c\u5e76\u6309\u7167\u5b98\u65b9\u6587\u6863\u7684\u6b65\u9aa4\u8fdb\u884c\u5b89\u88c5\u3002\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u60a8\u5c31\u62e5\u6709\u4e86\u4e00\u4e2a\u57fa\u672c\u7684Linux\u5f00\u53d1\u73af\u5883\u3002 \u4e8c\u3001\u5b89\u88c5\u5fc5\u8981\u7684\u5f00\u53d1\u5de5\u5177\u548c\u5e93 \u5728\u5f00\u59cb\u8fdb\u884c\u667a\u80fd\u4ea4\u901a\u548c\u667a\u6167\u7269\u6d41\u5f00\u53d1\u4e4b\u524d\uff0c\u6211\u4eec\u9700\u8981\u5b89\u88c5\u4e00\u4e9b\u5fc5\u8981\u7684\u5f00\u53d1\u5de5\u5177\u548c\u5e93\u3002\u5728Linux\u7cfb\u7edf\u4e2d\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528apt-get\u547d\u4ee4\u6765\u8fdb\u884c\u8f6f\u4ef6\u7684\u5b89\u88c5\u3002 \u4ee5\u5b89\u88c5Python\u4e3a\u4f8b\uff0c\u60a8\u53ef\u4ee5\u5728\u7ec8\u7aef\u4e2d\u8fd0\u884c\u4ee5\u4e0b\u547d\u4ee4\uff1a sudo apt-get update sudo apt-get install python3 \u767b\u5f55\u540e\u590d\u5236 \u540c\u6837\u5730\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528apt-get\u547d\u4ee4\u6765\u5b89\u88c5\u5176\u4ed6\u5fc5\u8981\u7684\u8f6f\u4ef6\u548c\u5e93\uff0c\u5982OpenCV\u3001TensorFlow\u7b49\u3002 \u4e09\u3001\u667a\u80fd\u4ea4\u901a\u5f00\u53d1\u793a\u4f8b \u5728\u667a\u80fd\u4ea4\u901a\u9886\u57df\u7684\u5f00\u53d1\u4e2d\uff0c\u8f66\u8f86\u8bc6\u522b\u548c\u4ea4\u901a\u6d41\u91cf\u76d1\u63a7\u662f\u4e24\u4e2a\u91cd\u8981\u7684\u65b9\u9762\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u4f7f\u7528OpenCV\u5e93\u5b9e\u73b0\u8f66\u8f86\u8bc6\u522b\u7684\u793a\u4f8b\u4ee3\u7801\uff1a import cv2 # \u52a0\u8f7d\u8f66\u8f86\u8bc6\u522b\u6a21\u578b car_cascade = cv2.CascadeClassifier(‘car_cascade.xml’) # \u6253\u5f00\u6444\u50cf\u5934 cap = cv2.VideoCapture(0) while True: # \u8bfb\u53d6\u6444\u50cf\u5934\u5e27 ret, frame = cap.read() # \u5c06\u5e27\u8f6c\u4e3a\u7070\u5ea6\u56fe\u50cf gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY) # \u4f7f\u7528\u8f66\u8f86\u8bc6\u522b\u6a21\u578b\u68c0\u6d4b\u8f66\u8f86 cars = car_cascade.detectMultiScale(gray, 1.1, 4) # \u7ed8\u5236\u8f66\u8f86\u8fb9\u754c\u6846 for […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[8],"tags":[],"class_list":["post-61270","post","type-post","status-publish","format-standard","hentry","category-os"],"_links":{"self":[{"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/posts\/61270","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/comments?post=61270"}],"version-history":[{"count":0,"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/posts\/61270\/revisions"}],"wp:attachment":[{"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/media?parent=61270"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/categories?post=61270"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/tags?post=61270"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}