海康威視網(wǎng)絡(luò)攝像頭Python SDK+移動物體位置檢測

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文末附 海康威視網(wǎng)絡(luò)攝像頭Python SDK 下載鏈接

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本文參考博客

https://blog.csdn.net/c20081052/article/details/95082377

https://blog.csdn.net/pengpengloveqiaoqiao/article/details/89487049

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注意：攝像頭要在鏡頭上貼紅外濾光片 過濾掉可見光

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效果展示，已經(jīng)過濾到大部分波長可見光，手在鏡頭前來回移動，紅框即檢測到移動物體的位置，并框出來（海康威視的攝像頭可見光好像不能完全被濾光片過濾掉，但是可以過濾到投影機(jī)的畫面或者屏幕的畫面，不影響使用）

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目錄

1.將海康威視的C++? sdk 轉(zhuǎn)化為 Python sdk

2.調(diào)用海康威視Python SDK

3.調(diào)用多個海康威視攝像頭

4. 將多個攝像頭畫面拼接成一個

5.挨個攝像頭透視變換

6. 透視變換完后再在拼接后的畫面上做動態(tài)物體檢測，參考博客

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1.將海康威視的C++? sdk 轉(zhuǎn)化為 Python sdk? (本文已經(jīng)處理完了)

如何將海康威視的C++? sdk 轉(zhuǎn)化為 Python 可用的sdk ，請參考博主?ciky奇?的文章，鏈接如下

https://blog.csdn.net/c20081052/article/details/95082377? 如果最后一步Python調(diào)用時遇到報錯，嘗試將所有相關(guān)的文件全部復(fù)制到Python工程的路徑下

環(huán)境：

1. windows10? 64位

2. opecv

3. python3

4.海康威視網(wǎng)絡(luò)攝像頭64位 C++ sdk

? ??https://www.hikvision.com/cn/download_61.html

? ? 下載SDK_Win64

5.其他庫文件：

? ?5.1 opencv-python

? ?5.2 numpy

? ?5.3?multiprocessing （多進(jìn)程使用）

本文已將海康威視C++ sdk轉(zhuǎn)為Python sdk處理好，可以直接下載使用，文末網(wǎng)址分享

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如果HKIPCamera 一直報錯，找不到模塊? ? ，首先 python 和 opencv要安裝好，并且設(shè)置好環(huán)境變量，如果還是報錯：

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一般是缺少VC++庫的運行時組件，兩個方案：

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1. 從微軟官網(wǎng)下載VC++庫的運行時組件：??

此組件也可以解決其他項目上的很多疑難雜癥

官網(wǎng)鏈接：?https://visualstudio.microsoft.com/zh-hans/downloads/

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2、下載一個DirectX修復(fù)工具

鏈接：https://pan.baidu.com/s/1thfI2SyCpQoToBxuwFnxuA?
提取碼：8aza?
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打開后點擊? ?工具----> 選項---->擴(kuò)展---->開始擴(kuò)展

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擴(kuò)展完了以后，此時會默認(rèn)選中同時更新C++，點擊檢測并修復(fù)，

如果缺少組件就會自動安裝，如果已經(jīng)安裝了但是不是最新的，會自動更新，

等修復(fù)完了，再嘗試運行Python程序

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如果還是一直存在問題，請回頭參考博文https://blog.csdn.net/c20081052/article/details/95082377一步一步重新操作

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2.調(diào)用海康威視Python SDK

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import cv2 import numpy as np import HKIPcameradef get_cam_frame(ip, account, password):ip = str(ip) # 攝像頭IP地址，要和本機(jī)IP在同一局域網(wǎng)name = str(account) # 管理員用戶名pw = str(password) # 管理員密碼HKIPcamera.init(ip, name, pw)while(True): fram = HKIPcamera.getframe() frame = np.array(fram)cv2.imshow('frame',frame)c = cv2.waitKey(10)if c == 27:break;HKIPcamera.release()if __name__ == '__main__':get_cam_frame('192.168.1.64', 'admin', '123456')

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3.調(diào)用多個海康威視攝像頭

? ? 調(diào)用多個攝像頭需要用到多進(jìn)程，多線程不起作用

? ? 在第一步的代碼基礎(chǔ)上修改一下

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import cv2 import numpy as np import HKIPcamera from multiprocessing import Process, Queuedef get_cam_frame(frameName, ip, account, password):ip = str(ip) # 攝像頭IP地址，要和本機(jī)IP在同一局域網(wǎng)name = str(account) # 管理員用戶名pw = str(password) # 管理員密碼HKIPcamera.init(ip, name, pw)while True:fram = HKIPcamera.getframe()frame = np.array(fram)cv2.imshow(frameName, frame)c = cv2.waitKey(10)if c == 27:break;HKIPcamera.release()if __name__ == '__main__':p0 = Process(target=get_cam_frame, args=('frame0', '192.168.1.64', 'admin', '123456',))p0.start()p1 = Process(target=get_cam_frame, args=('frame1', '192.168.1.65', 'admin', '123456',))p1.start()# 以此類推 p2 p3 ... pn

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4. 將多個攝像頭畫面拼接成一個

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? ? ? ?再在上述的代碼基礎(chǔ)上修改

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import cv2 import numpy as np import HKIPcamera from multiprocessing import Process, Queue import os import signaldef get_cam_frame(frameName, ip, account, password, n):ip = str(ip) # 攝像頭IP地址，要和本機(jī)IP在同一局域網(wǎng)name = str(account) # 管理員用戶名pw = str(password) # 管理員密碼HKIPcamera.init(ip, name, pw)while True:fram = HKIPcamera.getframe()frame = np.array(fram)# 由于攝像頭畫面是1920*1080，多個拼接的話，畫面會非常大，所有重置一下每個攝像頭的畫面frame = cv2.resize(frame, (768, 540), interpolation=cv2.INTER_CUBIC)n.put(frame)cv2.imshow(frameName, frame)c = cv2.waitKey(10)if c == 27:break;HKIPcamera.release()if __name__ == '__main__':q0 = Queue(3)p0 = Process(target=get_cam_frame, args=('frame0', '192.168.1.64', 'admin', '123456', q0,))p0.start()q1 = Queue(3)p1 = Process(target=get_cam_frame, args=('frame1', '192.168.1.65', 'admin', '12345', q1,))p1.start()while True:if p0.is_alive() and p1.is_alive():frame0 = q0.get()frame1 = q1.get()# 橫著拼full_frame = np.hstack([frame0, frame1])# 豎著拼# full_frame = np.vstack([frame0, frame1])cv2.imshow('full_frame', full_frame)c = cv2.waitKey(10)if c==27:os.kill(p0.pid, signal.SIGTERM)os.kill(p1.pid, signal.SIGTERM)break;

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5.挨個攝像頭透視變換

? ?如果不了解opencv-python透視變換函數(shù)的參數(shù)，請先看下此博客的透視變換函數(shù)介紹，鏈接如下：

? ?https://blog.csdn.net/wsp_1138886114/article/details/83374333

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import cv2 import numpy as np import HKIPcamera from multiprocessing import Process, Queue import os import signaldef get_cam_frame(frameName, ip, account, password, n):ip = str(ip) # 攝像頭IP地址，要和本機(jī)IP在同一局域網(wǎng)name = str(account) # 管理員用戶名pw = str(password) # 管理員密碼HKIPcamera.init(ip, name, pw)while True:fram = HKIPcamera.getframe()frame = np.array(fram)# 由于攝像頭畫面是1920*1080，多個拼接的話，畫面會非常大，所有重置一下每個攝像頭的畫面frame = cv2.resize(frame, (768, 540), interpolation=cv2.INTER_CUBIC)n.put(frame)cv2.imshow(frameName, frame)c = cv2.waitKey(10)if c == 27:break;HKIPcamera.release()#第一個攝像頭透視變化的四個點 frame0_x0, frame0_y0, frame0_x1, frame0_y1, frame0_x2, frame0_y2, frame0_x3, frame0_y3 = 0, 0, 0, 0, 0, 0, 0, 0 #第二個攝像頭透視變化的四個點 frame1_x0, frame1_y0, frame1_x1, frame1_y1, frame1_x2, frame1_y2, frame1_x3, frame1_y3 = 0, 0, 0, 0, 0, 0, 0, 0#簡單來寫，按照從第一個攝像頭開始，鼠標(biāo)每點擊一次，獲取一個點 #例如鼠標(biāo)第一次點擊，就等于給坐標(biāo)frame0_x0, frame0_y0 賦值， 第二次點擊就是給坐標(biāo)frame0_x1, frame0_y1賦值，以此類推clickNum = 0def draw_point(event, x, y, flags, param):global frame0_x0, frame0_y0, frame0_x1, frame0_y1, frame0_x2, frame0_y2, frame0_x3, frame0_y3global frame1_x0, frame1_y0, frame1_x1, frame1_y1, frame1_x2, frame1_y2, frame1_x3, frame1_y3, clickNumif event == cv2.EVENT_LBUTTONDOWN:if clickNum == 0:frame0_x0 = xframe0_y0 = yelif clickNum == 1:frame0_x1 = xframe0_y1 = yelif clickNum == 2:frame0_x2 = xframe0_y2 = yelif clickNum == 3:frame0_x3 = xframe0_y3 = yelif clickNum == 4:frame1_x0 = xframe1_y0 = yelif clickNum == 5:frame1_x1 = xframe1_y1 = yelif clickNum == 6:frame1_x2 = xframe1_y2 = yelif clickNum == 7:frame1_x3 = xframe1_y3 = yclickNum += 1# 透視變換 def perspective_transform():global frame0, frame1, clickNumglobal frame0_x0, frame0_y0, frame0_x1, frame0_y1, frame0_x2, frame0_y2, frame0_x3, frame0_y3global frame1_x0, frame1_y0, frame1_x1, frame1_y1, frame1_x2, frame1_y2, frame1_x3, frame1_y3if clickNum==8:W_cols, H_rows = frame0.shape[:2]pts0_1 = np.float32([[frame0_x0, frame0_y0], [frame0_x1, frame0_y1],[frame0_x2, frame0_y2], [frame0_x3, frame0_y3]])pts0_2 = np.float32([[0, 0], [W_cols, 0], [0, H_rows], [W_cols, H_rows]])M0 = cv2.getPerspectiveTransform(pts0_1, pts0_2)frame0 = cv2.warpPerspective(frame0, M0, (W_cols, H_rows))# 這里的變換需要減去第一個攝像頭的畫面的寬度，768pts1_1 = np.float32([[frame1_x0-768, frame1_y0], [frame1_x1-768, frame1_y1],[frame1_x2-768, frame1_y2], [frame1_x3-768, frame1_y3]])pts1_2 = np.float32([[0, 0], [W_cols, 0], [0, H_rows], [W_cols, H_rows]])M1 = cv2.getPerspectiveTransform(pts1_1, pts1_2)frame1 = cv2.warpPerspective(frame1, M1, (W_cols, H_rows))if __name__ == '__main__':q0 = Queue(3)p0 = Process(target=get_cam_frame, args=('frame0', '192.168.1.64', 'admin', '123456', q0,))p0.start()q1 = Queue(3)p1 = Process(target=get_cam_frame, args=('frame1', '192.168.1.65', 'admin', '123456', q1,))p1.start()cv2.namedWindow('full_frame')# 鼠標(biāo)點擊事件cv2.setMouseCallback('full_frame', draw_point)while True:if p0.is_alive() and p1.is_alive():frame0 = q0.get()frame1 = q1.get()# 透視變換perspective_transform()# 透視變換完再拼接# 橫著拼full_frame = np.hstack([frame0, frame1])# 豎著拼#full_frame = np.vstack([frame0, frame1])cv2.imshow('full_frame', full_frame)c = cv2.waitKey(10)if c==27:os.kill(p0.pid, signal.SIGTERM)os.kill(p1.pid, signal.SIGTERM)break;

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6. 透視變換完后再在拼接后的畫面上做動態(tài)物體檢測，參考博客

?https://blog.csdn.net/pengpengloveqiaoqiao/article/details/89487049

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import cv2 import numpy as np import HKIPcamera from multiprocessing import Process, Queue import os import signaldef get_cam_frame(frameName, ip, account, password, n):ip = str(ip) # 攝像頭IP地址，要和本機(jī)IP在同一局域網(wǎng)name = str(account) # 管理員用戶名pw = str(password) # 管理員密碼HKIPcamera.init(ip, name, pw)while True:fram = HKIPcamera.getframe()frame = np.array(fram)# 由于攝像頭畫面是1920*1080，多個拼接的話，畫面會非常大，所有重置一下每個攝像頭的畫面frame = cv2.resize(frame, (768, 540), interpolation=cv2.INTER_CUBIC)n.put(frame)cv2.imshow(frameName, frame)c = cv2.waitKey(10)if c == 27:break;HKIPcamera.release()#第一個攝像頭透視變化的四個點 frame0_x0, frame0_y0, frame0_x1, frame0_y1, frame0_x2, frame0_y2, frame0_x3, frame0_y3 = 0, 0, 0, 0, 0, 0, 0, 0 #第二個攝像頭透視變化的四個點 frame1_x0, frame1_y0, frame1_x1, frame1_y1, frame1_x2, frame1_y2, frame1_x3, frame1_y3 = 0, 0, 0, 0, 0, 0, 0, 0#簡單來寫，按照從第一個攝像頭開始，鼠標(biāo)每點擊一次，獲取一個點 #例如鼠標(biāo)第一次點擊，就等于給坐標(biāo)frame0_x0, frame0_y0 賦值， 第二次點擊就是給坐標(biāo)frame0_x1, frame0_y1賦值，以此類推clickNum = 0def draw_point(event, x, y, flags, param):global frame0_x0, frame0_y0, frame0_x1, frame0_y1, frame0_x2, frame0_y2, frame0_x3, frame0_y3global frame1_x0, frame1_y0, frame1_x1, frame1_y1, frame1_x2, frame1_y2, frame1_x3, frame1_y3, clickNumif event == cv2.EVENT_LBUTTONDOWN:if clickNum == 0:frame0_x0 = xframe0_y0 = yelif clickNum == 1:frame0_x1 = xframe0_y1 = yelif clickNum == 2:frame0_x2 = xframe0_y2 = yelif clickNum == 3:frame0_x3 = xframe0_y3 = yelif clickNum == 4:frame1_x0 = xframe1_y0 = yelif clickNum == 5:frame1_x1 = xframe1_y1 = yelif clickNum == 6:frame1_x2 = xframe1_y2 = yelif clickNum == 7:frame1_x3 = xframe1_y3 = yclickNum += 1# 透視變換 def perspective_transform():global frame0, frame1, clickNumglobal frame0_x0, frame0_y0, frame0_x1, frame0_y1, frame0_x2, frame0_y2, frame0_x3, frame0_y3global frame1_x0, frame1_y0, frame1_x1, frame1_y1, frame1_x2, frame1_y2, frame1_x3, frame1_y3if clickNum==8:W_cols, H_rows = frame0.shape[:2]pts0_1 = np.float32([[frame0_x0, frame0_y0], [frame0_x1, frame0_y1],[frame0_x2, frame0_y2], [frame0_x3, frame0_y3]])pts0_2 = np.float32([[0, 0], [W_cols, 0], [0, H_rows], [W_cols, H_rows]])M0 = cv2.getPerspectiveTransform(pts0_1, pts0_2)frame0 = cv2.warpPerspective(frame0, M0, (W_cols, H_rows))# 這里的變換需要減去第一個攝像頭的畫面的寬度，768pts1_1 = np.float32([[frame1_x0-768, frame1_y0], [frame1_x1-768, frame1_y1],[frame1_x2-768, frame1_y2], [frame1_x3-768, frame1_y3]])pts1_2 = np.float32([[0, 0], [W_cols, 0], [0, H_rows], [W_cols, H_rows]])M1 = cv2.getPerspectiveTransform(pts1_1, pts1_2)frame1 = cv2.warpPerspective(frame1, M1, (W_cols, H_rows))if __name__ == '__main__':q0 = Queue(3)p0 = Process(target=get_cam_frame, args=('frame0', '192.168.1.64', 'admin', '123456', q0,))p0.start()q1 = Queue(3)p1 = Process(target=get_cam_frame, args=('frame1', '192.168.1.65', 'admin', '123456', q1,))p1.start()cv2.namedWindow('full_frame')# 鼠標(biāo)點擊事件cv2.setMouseCallback('full_frame', draw_point)kernel = cv2.getStructuringElement(cv2.MORPH_ELLIPSE, (5, 5))fgbg = cv2.createBackgroundSubtractorMOG2()while True:if p0.is_alive() and p1.is_alive():frame0 = q0.get()frame1 = q1.get()# 透視變換perspective_transform()# 透視變換完再拼接# 橫著拼full_frame = np.hstack([frame0, frame1])# 豎著拼#full_frame = np.vstack([frame0, frame1])fgmask = fgbg.apply(full_frame)mask = cv2.morphologyEx(fgmask, cv2.MORPH_OPEN, kernel)contours, _ = cv2.findContours(fgmask.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)for c in contours:if 100 < cv2.contourArea(c) < 40000:x, y, w, h = cv2.boundingRect(c)cv2.rectangle(full_frame, (x, y), (x + w, y + h), (0, 0, 255))cv2.imshow('full_frame', full_frame)c = cv2.waitKey(10)if c==27:os.kill(p0.pid, signal.SIGTERM)os.kill(p1.pid, signal.SIGTERM)break;

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最后再寫個Json或者XML(我沒寫)保存一下透視變換的點位信息完整工程分享

鏈接：https://pan.baidu.com/s/1zHwWCW5dW-XR6a98RfEuew?
提取碼：6gfc

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