Initial code upload

Mostly just fun scripts for now.  Will organize later.

Author: squilter

.project

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+<?xml version="1.0" encoding="UTF-8"?>
+<projectDescription>
+	<name>2914FRC2014</name>
+	<comment></comment>
+	<projects>
+	</projects>
+	<buildSpec>
+		<buildCommand>
+			<name>org.python.pydev.PyDevBuilder</name>
+			<arguments>
+			</arguments>
+		</buildCommand>
+	</buildSpec>
+	<natures>
+		<nature>org.python.pydev.pythonNature</nature>
+	</natures>
+</projectDescription>

.pydevproject

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+<?xml version="1.0" encoding="UTF-8" standalone="no"?>
+<?eclipse-pydev version="1.0"?><pydev_project>
+<pydev_property name="org.python.pydev.PYTHON_PROJECT_INTERPRETER">Default</pydev_property>
+<pydev_property name="org.python.pydev.PYTHON_PROJECT_VERSION">python 2.7</pydev_property>
+</pydev_project>

hotornottests/HOT.JPG

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+<?xml version="1.0" encoding="UTF-8"?>
+<projectDescription>
+	<name>pyballfinder</name>
+	<comment></comment>
+	<projects>
+	</projects>
+	<buildSpec>
+		<buildCommand>
+			<name>org.python.pydev.PyDevBuilder</name>
+			<arguments>
+			</arguments>
+		</buildCommand>
+	</buildSpec>
+	<natures>
+		<nature>org.python.pydev.pythonNature</nature>
+	</natures>
+</projectDescription>

hotornottests/NOT.JPG

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+<?xml version="1.0" encoding="UTF-8" standalone="no"?>
+<?eclipse-pydev version="1.0"?><pydev_project>
+<pydev_pathproperty name="org.python.pydev.PROJECT_SOURCE_PATH">
+<path>/${PROJECT_DIR_NAME}</path>
+</pydev_pathproperty>
+<pydev_property name="org.python.pydev.PYTHON_PROJECT_VERSION">python 2.7</pydev_property>
+<pydev_property name="org.python.pydev.PYTHON_PROJECT_INTERPRETER">Default</pydev_property>
+</pydev_project>

hotornottests/Thumbs.db

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+''' v 0.1 - It tracks two objects of blue and yellow color each '''
+
+import cv2
+import numpy as np
+
+def getthresholdedimg(hsv):
+    redLow = cv2.inRange(hsv,np.array((150,50,50)),np.array((180,200,200)))#in opencv, HSV is 0-180,0-255,0-255
+    redHigh = cv2.inRange(hsv,np.array((0,50,50)),np.array((30,200,200)))
+    red = cv2.add(redLow,redHigh)
+    return red
+
+c = cv2.VideoCapture(0)
+width,height = c.get(3),c.get(4)
+print "frame width and height : ", width, height
+storage = cv2.cv.CreateMat(image.width, 1, cv.CV_32FC3)
+
+while(1):
+    _,f = c.read()
+    f = cv2.flip(f,1)
+    blur = cv2.medianBlur(f,5)
+    hsv = cv2.cvtColor(f,cv2.COLOR_BGR2HSV)
+    img = getthresholdedimg(hsv)
+    erode = cv2.erode(img,None,iterations = 1)
+    #dilate = cv2.dilate(erode,None,iterations = 1)
+
+    #contours,hierarchy = cv2.findContours(dilate,cv2.RETR_LIST,cv2.CHAIN_APPROX_SIMPLE)
+    circles=cv2.HoughCircles(erode,)
+    
+    for cnt in contours:
+        x,y,w,h = cv2.boundingRect(cnt)
+        cx,cy = x+w/2, y+h/2
+        
+        if 20 < hsv.item(cy,cx,0) < 30:
+            cv2.rectangle(f,(x,y),(x+w,y+h),[0,255,255],2)
+            print "yellow :", x,y,w,h
+        elif 100 < hsv.item(cy,cx,0) < 120:
+            cv2.rectangle(f,(x,y),(x+w,y+h),[255,0,0],2)
+            print "blue :", x,y,w,h
+
+    cv2.imshow('img',f)
+
+    if cv2.waitKey(25) == 27:
+        break
+
+cv2.destroyAllWindows()
+c.release()

hotornottests/damn.jpg

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+import cv2
+import numpy as np
+"""
+    Convert image to HSV plane using cvtColor() function
+    Extract red and blue colors from it using inRange() function
+    Apply erosion and dilation to avoid noise using erode() and dilate() functions
+    Find Contours using findContours() function
+    Draw the contours using drawContours() function.
+"""
+
+c = cv2.VideoCapture(0)
+width,height = c.get(3),c.get(4)
+
+def getthresholdedimg(hsv):
+    return cv2.inRange(hsv,np.array((22,20,200)),np.array((37,240,255)))#in opencv, HSV is 0-180,0-255,0-255
+
+while(1):
+    _,capture = c.read()
+    capture = cv2.flip(capture,1)
+    
+#    Convert image to HSV plane using cvtColor() function
+    hsvcapture = cv2.cvtColor(capture,cv2.COLOR_BGR2HSV)
+    
+#    turn it into a binary image representing yellows
+    inrangepixels = getthresholdedimg(hsvcapture)
+
+#    Apply erosion and dilation to avoid noise using erode() and dilate() functions
+    erode = cv2.erode(inrangepixels,None,iterations = 3)
+    dilate = cv2.dilate(erode,None,iterations = 5)
+
+###
+#    count yellows
+
+    yellows = cv2.countNonZero(dilate)
+
+    
+    if(yellows>2000):
+        cv2.putText(capture,"HOT",(0,450),cv2.FONT_HERSHEY_SIMPLEX,10,(0,0,255))
+    else:
+        cv2.putText(capture,"NOT",(0,450),cv2.FONT_HERSHEY_SIMPLEX,10,(0,0,255))
+    cv2.imshow('yellow',dilate)
+    cv2.imshow('capture',capture)
+
+    if cv2.waitKey(25) == 27:
+        break
+    
+cv2.destroyAllWindows()
+c.release()

pyballfinder/.project

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+import cv2
+import numpy as np
+"""
+    Convert image to HSV plane using cvtColor() function
+    Extract red and blue colors from it using inRange() function
+    Apply erosion and dilation to avoid noise using erode() and dilate() functions
+    Find Contours using findContours() function
+    Draw the contours using drawContours() function.
+"""
+
+c = cv2.VideoCapture(0)
+width,height = c.get(3),c.get(4)
+
+def getthresholdedimg(hsv):
+    red = cv2.inRange(hsv,np.array((175,140,50)),np.array((180,180,200)))#in opencv, HSV is 0-180,0-255,0-255
+    #redHigh = cv2.inRange(hsv,np.array((0,50,50)),np.array((30,200,200)))
+    #red = cv2.add(redLow,redHigh)
+    return red
+
+while(1):
+    _,capture = c.read()
+    capture = cv2.flip(capture,1)
+    
+#    Convert image to HSV plane using cvtColor() function
+    hsvcapture = cv2.cvtColor(capture,cv2.COLOR_BGR2HSV)
+    
+#    Extract red and blue colors from it using inRange() function
+    inrangepixels = getthresholdedimg(hsvcapture)
+
+#    Apply erosion and dilation to avoid noise using erode() and dilate() functions
+    erode = cv2.erode(inrangepixels,None,iterations = 3)
+    dilate = cv2.dilate(erode,None,iterations = 10)
+
+###
+
+    cv2.imshow('binaryImg',dilate)
+    cv2.imshow('capture',capture)
+
+    if cv2.waitKey(25) == 27:
+        break
+    
+cv2.destroyAllWindows()
+c.release()