Initial commit to this just code repo. Got rid of all the images.

Author: SPD3

2017VisionDetection.py

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+Gear Placer

2017VisionDetectionPc.py

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+Gear Placer

2017VisionExample.zip

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+import cv2
+import numpy as np
+
+params = cv2.SimpleBlobDetector_Params()
+params.minDistBetweenBlobs=1000
+params.minThreshold=1
+params.maxThreshold=255
+params.thresholdStep=1
+#print params.minThreshold, params.maxThreshold, params.thresholdStep
+#print params.minRepeatability
+params.minRepeatability = 0
+params.filterByArea=True
+params.minArea=2000
+params.maxArea=100000
+params.filterByCircularity=False
+params.filterByColor=False
+params.filterByConvexity=False
+params.filterByInertia=False
+params.filterByCircularity
+detector = cv2.SimpleBlobDetector_create(params)
+img = cv2.imread("C:\Users\Public\Pictures\Sample Pictures\OriginalColors.jpg")
+HSV = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)
+
+cv2.imshow("original", img)
+newFrame = cv2.inRange(HSV,(25,0,10),(75,255,245))
+GaussianBlurImage = cv2.GaussianBlur(newFrame,(3,3),1.6)
+erodedFrame = cv2.erode(GaussianBlurImage,(3,3))
+erodedFrame = cv2.erode(erodedFrame,(3,3))
+keypoints = detector.detect(erodedFrame)
+x = len(keypoints)
+imWithKeypoint = cv2.drawKeypoints(erodedFrame, keypoints,
+                                    np.array([]), (0,0,255),
+                                    cv2.DRAW_MATCHES_FLAGS_DRAW_RICH_KEYPOINTS)
+
+if x !=0:
+    key
+    
+cv2.imshow("ErodedImage", imWithKeypoint)
+cv2.waitKey()
+cv2.destroyAllWindows()

4905pi-2/CameraType

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+import cv2
+import numpy as np
+
+#params = cv2.SimpleBlobDetector_Params()
+#params.minDistBetweenBlobs=1000
+#params.minThreshold=1
+#params.maxThreshold=255
+#params.thresholdStep=1
+#print params.minThreshold, params.maxThreshold, params.thresholdStep
+#print params.minRepeatability
+#params.minRepeatability = 0
+#params.filterByArea=True
+#params.minArea=2000
+#params.maxArea=100000
+#params.filterByCircularity=False
+#params.filterByColor=False
+#params.filterByConvexity=False
+#params.filterByInertia=False
+#params.filterByCircularity
+#detector = cv2.SimpleBlobDetector_create(params)
+img = cv2.imread("C:\Users\Public\Pictures\Sample Pictures\OriginalColors.jpg")
+HSV = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)
+
+cv2.imshow("original", img)
+newFrame = cv2.inRange(HSV,(25,0,10),(75,255,245))
+GaussianBlurImage = cv2.GaussianBlur(newFrame,(3,3),1.6)
+erodedFrame = cv2.erode(GaussianBlurImage,(3,3))
+erodedFrame = cv2.erode(erodedFrame,(3,3))
+#keypoints = detector.detect(erodedFrame)
+#x = len(keypoints)
+#print x
+#print keypoints
+
+#imWithKeypoint = cv2.drawKeypoints(erodedFrame, keypoints,
+                                    #np.array([]), (0,0,255),
+                                    #cv2.DRAW_MATCHES_FLAGS_DRAW_RICH_KEYPOINTS)
+newFrame, contours, hierarchy = cv2.findContours(erodedFrame, cv2.RETR_LIST,cv2.CHAIN_APPROX_NONE)
+cv2.drawContours(newFrame,contours,-1,(255,255,255))
+
+cv2.imshow("ContourFrame", newFrame)
+#cv2.imshow("ErodedImage", imWithKeypoint)
+cv2.waitKey()
+cv2.destroyAllWindows()

4905pi-2/R.npy

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+import cv2
+import numpy as np
+
+params = cv2.SimpleBlobDetector_Params()
+params.minDistBetweenBlobs=1000
+params.minThreshold=1
+params.maxThreshold=255
+params.thresholdStep=1
+#print params.minThreshold, params.maxThreshold, params.thresholdStep
+#print params.minRepeatability
+params.minRepeatability = 0
+params.filterByArea=True
+params.minArea=2000
+params.maxArea=100000
+params.filterByCircularity=False
+params.filterByColor=False
+params.filterByConvexity=False
+params.filterByInertia=False
+params.filterByCircularity
+detector = cv2.SimpleBlobDetector_create(params)
+img = cv2.imread("C:\Users\Public\Pictures\Sample Pictures\OriginalColors.jpg")
+HSV = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)
+
+cv2.imshow("original", img)
+newFrame = cv2.inRange(HSV,(25,0,10),(75,255,245))
+GaussianBlurImage = cv2.GaussianBlur(newFrame,(3,3),1.6)
+erodedFrame = cv2.erode(GaussianBlurImage,(3,3))
+erodedFrame = cv2.erode(erodedFrame,(3,3))
+keypoints = detector.detect(erodedFrame)
+x = len(keypoints)
+imWithKeypoint = cv2.drawKeypoints(erodedFrame, keypoints,
+                                    np.array([]), (0,0,255),
+                                    cv2.DRAW_MATCHES_FLAGS_DRAW_RICH_KEYPOINTS)
+
+if x !=0:
+    key
+    
+cv2.imshow("ErodedImage", imWithKeypoint)
+cv2.waitKey()
+cv2.destroyAllWindows()