python opencv 打开相机检测圆点

原图

结果

# coding:utf-8
import cv2
import numpy as np
import matplotlib.pyplot as pltdef mainFigure(img):w = 20h = 5params = cv2.SimpleBlobDetector_Params()# Setup SimpleBlobDetector parameters.# print('params')# print(params)# print(type(params))# Filter by Area.params.filterByArea = Trueparams.minArea = 10e1params.maxArea = 10e3params.minDistBetweenBlobs = 25# params.filterByColor = Trueparams.filterByConvexity = False# tweak these as you see fit# Filter by Circularity# params.filterByCircularity = False# params.minCircularity = 0.2# params.blobColor = 0# # # Filter by Convexity# params.filterByConvexity = True# params.minConvexity = 0.87# Filter by Inertia# params.filterByInertia = True# params.filterByInertia = False# params.minInertiaRatio = 0.01gray= cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)# Detect blobs.# image = cv2.resize(gray_img, (int(img.shape[1]/4),int(img.shape[0]/4)), 1, 1, cv2.INTER_LINEAR)# image = cv2.resize(gray_img, dsize=None, fx=0.25, fy=0.25, interpolation=cv2.INTER_LINEAR)minThreshValue = 120_, gray = cv2.threshold(gray, minThreshValue, 255, cv2.THRESH_BINARY)gray = cv2.resize(gray, dsize=None, fx=2, fy=2, interpolation=cv2.INTER_LINEAR)# plt.imshow(gray)# cv2.imshow("gray",gray)detector = cv2.SimpleBlobDetector_create(params)keypoints = detector.detect(gray)print(len(keypoints))fig = plt.figure()# opencvim_with_keypoints = cv2.drawKeypoints(gray, keypoints, np.array([]), (255, 0, 0), cv2.DRAW_MATCHES_FLAGS_DRAW_RICH_KEYPOINTS)# plt# im_with_keypoints = cv2.drawKeypoints(gray, keypoints, np.array([]), (0, 0, 255),  cv2.DRAW_MATCHES_FLAGS_DRAW_RICH_KEYPOINTS)color_img = cv2.cvtColor(im_with_keypoints, cv2.COLOR_BGR2RGB)# plt.imshow(color_img,interpolation='bicubic')# fname = "key points"# titlestr = '%s found %d keypoints' % (fname, len(keypoints))# plt.title(titlestr)# fig.canvas.set_window_title(titlestr)# plt.show()cv2.imshow('findCorners', color_img)cv2.waitKey()def main(img, fig):params = cv2.SimpleBlobDetector_Params()# Filter by Area.params.filterByArea = Trueparams.minArea = 10e1params.maxArea = 10e3params.minDistBetweenBlobs = 25# params.filterByColor = Trueparams.filterByConvexity = False# tweak these as you see fit# Filter by Circularity# params.filterByCircularity = False# params.minCircularity = 0.2# params.blobColor = 0# # # Filter by Convexity# params.filterByConvexity = True# params.minConvexity = 0.87# Filter by Inertia# params.filterByInertia = True# params.filterByInertia = False# params.minInertiaRatio = 0.01gray= cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)# Detect blobs.# cv2.imshow('findCorners', img)# cv2.waitKey(1)minThreshValue = 120_, gray = cv2.threshold(gray, minThreshValue, 255, cv2.THRESH_BINARY)gray = cv2.resize(gray, dsize=None, fx=2, fy=2, interpolation=cv2.INTER_LINEAR)# plt.imshow(gray)# cv2.imshow("gray",gray)detector = cv2.SimpleBlobDetector_create(params)keypoints = detector.detect(gray)if keypoints is not None:# print(len(keypoints))# opencvim_with_keypoints = cv2.drawKeypoints(gray, keypoints, np.array([]), (255, 0, 0), cv2.DRAW_MATCHES_FLAGS_DRAW_RICH_KEYPOINTS)# plt# im_with_keypoints = cv2.drawKeypoints(gray, keypoints, np.array([]), (0, 0, 255),  cv2.DRAW_MATCHES_FLAGS_DRAW_RICH_KEYPOINTS)color_img = cv2.cvtColor(im_with_keypoints, cv2.COLOR_BGR2RGB)# # plt# fname = "key points"# titlestr = '%s found %d keypoints' % (fname, len(keypoints))# fig.canvas.set_window_title(titlestr)# plt.title(titlestr)# # plt.show()# plt.imshow(color_img)# plt.pause(0.1)# fig.clf()# opencvif len(keypoints) > 200:cv2.putText(color_img, ("circles num = % d" % len(keypoints)), (50, 50),cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 0, 0), 2)else:cv2.putText(color_img, ("Notice: % s" % "Change Position"), (50, 50),cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 0, 0), 2)cv2.imshow('findCorners', color_img)cv2.waitKey(1)if __name__ == "__main__":# 图片测试# # img = cv2.imread("circles/circels.jpg",1)img = cv2.imread("circles/Snap_001.jpg",1)mainFigure(img)# # # 打开相机# capture = cv2.VideoCapture(0)# print("hello world")## fig = plt.figure()# # plt.ion()## if capture is None:#     print("Fail to open camera")# else:#     while (True):#         # 获取一帧#         ret, frame = capture.read()##         if frame is None:#             print("Fail to grab")#             continue#         else:#             # 将这帧转换为灰度图#             # gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)#             main(frame, fig)#         # cv2.imshow('frame', frame)#         key = cv2.waitKey(1)#         if key == ord('q'):#             break

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