import cv2<\/p>\nimport numpy as np<\/p>\n
cap = cv2.VideoCapture('path\/to\/video.mp4')<\/p>\n
ret, frame1 = cap.read()<\/p>\n
ret, frame2 = cap.read()<\/p>\n
while cap.isOpened():<\/p>\n
diff = cv2.absdiff(frame1, frame2)<\/p>\n
gray = cv2.cvtColor(diff, cv2.COLOR_BGR2GRAY)<\/p>\n
blur = cv2.GaussianBlur(gray, (5, 5), 0)<\/p>\n
_, thresh = cv2.threshold(blur, 20, 255, cv2.THRESH_BINARY)<\/p>\n
dilated = cv2.dilate(thresh, None, iterations=3)<\/p>\n
contours, _ = cv2.findContours(dilated, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)<\/p>\n
for contour in contours:<\/p>\n
if cv2.contourArea(contour) < 900:<\/p>\n
continue<\/p>\n
x, y, w, h = cv2.boundingRect(contour)<\/p>\n
cv2.rectangle(frame1, (x, y), (x + w, y + h), (0, 255, 0), 2)<\/p>\n
cv2.imshow('feed', frame1)<\/p>\n
frame1 = frame2<\/p>\n
ret, frame2 = cap.read()<\/p>\n
if cv2.waitKey(40) == 27:<\/p>\n
break<\/p>\n
cap.release()<\/p>\n
cv2.destroyAllWindows()<\/p>\n
<\/code><\/pre>\n<\/p>\n<\/li>\n<\/ol>\n
\u56db\u3001\u5e38\u89c1\u95ee\u9898\u4e0e\u89e3\u51b3\u65b9\u6848<\/h3>\n<\/p>\n
\u5728\u4f7f\u7528OpenCV\u8bfb\u53d6\u6570\u636e\u65f6\uff0c\u53ef\u80fd\u4f1a\u9047\u5230\u4e00\u4e9b\u5e38\u89c1\u95ee\u9898\uff0c\u4e0b\u9762\u5217\u51fa\u4e00\u4e9b\u5e38\u89c1\u95ee\u9898\u53ca\u5176\u89e3\u51b3\u65b9\u6848\u3002<\/p>\n<\/p>\n
\n- \n
\u65e0\u6cd5\u8bfb\u53d6\u6587\u4ef6<\/strong><\/p>\n<\/p>\n\n- \u8def\u5f84\u95ee\u9898<\/strong>\uff1a\u68c0\u67e5\u8def\u5f84\u662f\u5426\u6b63\u786e\uff0c\u7279\u522b\u662f\u5728Windows\u7cfb\u7edf\u4e2d\u9700\u8981\u6ce8\u610f\u53cd\u659c\u6760\u7684\u95ee\u9898\u3002<\/li>\n
- \u6743\u9650\u95ee\u9898<\/strong>\uff1a\u786e\u4fdd\u6709\u6743\u9650\u8bbf\u95ee\u6587\u4ef6\u3002<\/li>\n<\/ul>\n<\/li>\n
- \n
\u6444\u50cf\u5934\u65e0\u6cd5\u6253\u5f00<\/strong><\/p>\n<\/p>\n\n- \u8bbe\u5907\u5360\u7528<\/strong>\uff1a\u786e\u8ba4\u6444\u50cf\u5934\u6ca1\u6709\u88ab\u5176\u4ed6\u7a0b\u5e8f\u5360\u7528\u3002<\/li>\n
- \u8bbe\u5907\u7d22\u5f15<\/strong>\uff1a\u5c1d\u8bd5\u4e0d\u540c\u7684\u8bbe\u5907\u7d22\u5f15\u3002<\/li>\n<\/ul>\n<\/li>\n
- \n
\u56fe\u50cf\u663e\u793a\u5f02\u5e38<\/strong><\/p>\n<\/p>\n\n- \u901a\u9053\u987a\u5e8f<\/strong>\uff1aOpenCV\u9ed8\u8ba4\u4f7f\u7528BGR\u987a\u5e8f\uff0c\u800c\u5176\u4ed6\u5e93\u5982Matplotlib\u4f7f\u7528RGB\u987a\u5e8f\uff0c\u6ce8\u610f\u8f6c\u6362\u3002<\/li>\n<\/ul>\n
import cv2<\/p>\nimport matplotlib.pyplot as plt<\/p>\n
img = cv2.imread('path\/to\/image.jpg')<\/p>\n
img_rgb = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)<\/p>\n
plt.imshow(img_rgb)<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n<\/li>\n<\/ol>\n
\u4e94\u3001\u603b\u7ed3<\/h3>\n<\/p>\n
\u5728Python\u4e2d\uff0c\u4f7f\u7528OpenCV\u8bfb\u53d6\u6570\u636e\u662f\u8fdb\u884c\u56fe\u50cf\u5904\u7406\u548c\u8ba1\u7b97\u673a\u89c6\u89c9\u7684\u57fa\u7840\u3002cv2.imread()<\/code>\u548ccv2.VideoCapture()<\/code>\u662f\u8bfb\u53d6\u56fe\u50cf\u548c\u89c6\u9891\u7684\u4e3b\u8981\u65b9\u6cd5<\/strong>\uff0c\u5e76\u4e14\u4e0eNumPy\u7ed3\u5408\u4f7f\u7528\u53ef\u4ee5\u5b9e\u73b0\u5f3a\u5927\u7684\u6570\u636e\u5904\u7406\u529f\u80fd\u3002\u5728\u4f7f\u7528\u8fc7\u7a0b\u4e2d\uff0c\u6ce8\u610f\u8def\u5f84\u3001\u6743\u9650\u3001\u683c\u5f0f\u652f\u6301\u7b49\u95ee\u9898\uff0c\u53ef\u4ee5\u6709\u6548\u907f\u514d\u5e38\u89c1\u9519\u8bef\uff0c\u63d0\u9ad8\u5f00\u53d1\u6548\u7387\u3002\u901a\u8fc7\u7075\u6d3b\u4f7f\u7528OpenCV\u63d0\u4f9b\u7684\u529f\u80fd\uff0c\u53ef\u4ee5\u5b9e\u73b0\u4e30\u5bcc\u7684\u56fe\u50cf\u548c\u89c6\u9891\u5904\u7406\u4efb\u52a1\u3002<\/p>\n<\/p>\n\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n \u5982\u4f55\u5728Python\u4e2d\u4ece\u6587\u4ef6\u8bfb\u53d6\u6570\u636e\uff1f<\/strong>
\u5728Python\u4e2d\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528\u5185\u7f6e\u7684open()<\/code>\u51fd\u6570\u6765\u6253\u5f00\u6587\u4ef6\uff0c\u7136\u540e\u4f7f\u7528read()<\/code>\u3001readline()<\/code>\u6216readlines()<\/code>\u65b9\u6cd5\u6765\u8bfb\u53d6\u6570\u636e\u3002\u4f8b\u5982\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u8bfb\u53d6\u6574\u4e2a\u6587\u4ef6\u7684\u5185\u5bb9\uff1a<\/p>\nwith open('data.txt', 'r') as file:\n content = file.read()\nprint(content)\n<\/code><\/pre>\n\u8fd9\u79cd\u65b9\u5f0f\u7b80\u5355\u4e14\u5b89\u5168\uff0c\u4f7f\u7528with<\/code>\u8bed\u53e5\u53ef\u4ee5\u786e\u4fdd\u6587\u4ef6\u5728\u8bfb\u53d6\u540e\u81ea\u52a8\u5173\u95ed\u3002<\/p>\n\u5728Python\u4e2d\u5982\u4f55\u5904\u7406CSV\u683c\u5f0f\u7684\u6570\u636e\uff1f<\/strong>
\u5904\u7406CSV\u6587\u4ef6\u65f6\uff0cPython\u7684csv<\/code>\u6a21\u5757\u975e\u5e38\u6709\u7528\u3002\u60a8\u53ef\u4ee5\u4f7f\u7528csv.reader<\/code>\u6216csv.DictReader<\/code>\u6765\u8bfb\u53d6\u6587\u4ef6\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u4f7f\u7528csv.reader<\/code>\u7684\u793a\u4f8b\uff1a<\/p>\nimport csv\n\nwith open('data.csv', 'r') as file:\n reader = csv.reader(file)\n for row in reader:\n print(row)\n<\/code><\/pre>\n\u8fd9\u79cd\u65b9\u6cd5\u53ef\u4ee5\u65b9\u4fbf\u5730\u5c06\u6bcf\u4e00\u884c\u4f5c\u4e3a\u5217\u8868\u8bfb\u53d6\uff0c\u9002\u5408\u5904\u7406\u7ed3\u6784\u5316\u6570\u636e\u3002<\/p>\n
Python\u4e2d\u5982\u4f55\u4ece\u7f51\u7edc\u8bfb\u53d6\u6570\u636e\uff1f<\/strong>
\u60a8\u53ef\u4ee5\u4f7f\u7528requests<\/code>\u5e93\u4ece\u7f51\u7edc\u4e0a\u83b7\u53d6\u6570\u636e\u3002\u8fd9\u4e2a\u5e93\u4f7f\u5f97HTTP\u8bf7\u6c42\u53d8\u5f97\u7b80\u5355\uff0c\u9002\u5408\u8bfb\u53d6API\u8fd4\u56de\u7684\u6570\u636e\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u4eceAPI\u8bfb\u53d6JSON\u6570\u636e\u7684\u793a\u4f8b\uff1a<\/p>\nimport requests\n\nresponse = requests.get('https:\/\/api.example.com\/data')\ndata = response.json()\nprint(data)\n<\/code><\/pre>\n\u901a\u8fc7\u8fd9\u79cd\u65b9\u5f0f\uff0c\u60a8\u53ef\u4ee5\u8f7b\u677e\u5730\u4ece\u7f51\u7edc\u83b7\u53d6\u5e76\u5904\u7406\u6570\u636e\uff0c\u9002\u5408\u9700\u8981\u52a8\u6001\u6570\u636e\u7684\u573a\u666f\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5728Python\u4e2d\u4f7f\u7528OpenCV\uff08\u7b80\u79f0oj\uff09\u8bfb\u53d6\u6570\u636e\u65f6\uff0c\u4e3b\u8981\u6d89\u53ca\u56fe\u50cf\u6216\u89c6\u9891\u6587\u4ef6\u7684\u8bfb\u53d6\u3002\u4f7f\u7528OpenCV\u7684cv2 […]","protected":false},"author":3,"featured_media":1012121,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[37],"tags":[],"acf":[],"_links":{"self":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1012078"}],"collection":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/comments?post=1012078"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1012078\/revisions"}],"predecessor-version":[{"id":1012122,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1012078\/revisions\/1012122"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1012121"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1012078"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1012078"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1012078"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
![\"oj](\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/25085949\/36b1b4dc-2038-43f1-96e6-9a583dce3959.webp\")
<\/p>\n