From f589347f428ad74bb852574b606b3a638e7d57e6 Mon Sep 17 00:00:00 2001 From: Gorkem Date: Sun, 6 Dec 2020 14:30:32 +0300 Subject: [PATCH] resize star window --- data.csv | 230 ++++++++++++++++++++++++++++++++----------------- test.py | 46 +++++++--- testimage2.jpg | Bin 0 -> 101507 bytes testimage3.jpg | Bin 0 -> 1676859 bytes testimage4.jpg | Bin 0 -> 1720864 bytes 5 files changed, 183 insertions(+), 93 deletions(-) create mode 100644 testimage2.jpg create mode 100644 testimage3.jpg create mode 100644 testimage4.jpg diff --git a/data.csv b/data.csv index 25a9f84..8752590 100644 --- a/data.csv +++ b/data.csv @@ -1,80 +1,150 @@ -3.495320154929491423e+02,2.330079425878373058e+02 -1.900000000000000000e+02,4.500000000000000000e+00 -1.700000000000000000e+01,1.100000000000000000e+01 -5.335000000000000000e+02,1.150000000000000000e+01 -5.605000000000000000e+02,2.300000000000000000e+01 -2.070000000000000000e+02,3.100000000000000000e+01 -3.886666666666666856e+02,3.266666666666666430e+01 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oscbuildparse.OSCMessage("/notes", None, ["C",440]) # note_Db = oscbuildparse.OSCMessage("/note_Db", None, ["text"]) # note_D = oscbuildparse.OSCMessage("/note_D", None, ["text"]) @@ -23,16 +23,28 @@ note_C = oscbuildparse.OSCMessage("/notes", None, ["C",440]) # note_A = oscbuildparse.OSCMessage("/note_A", None, ["text"]) # note_Bb = oscbuildparse.OSCMessage("/note_Bb", None, ["text"]) # note_B = oscbuildparse.OSCMessage("/note_B", None, ["text"]) - +def resize(img): + width = 1024 + height = 768 + dim = (width, height) + resized = cv2.resize(img, dim, interpolation = cv2.INTER_AREA) + return resized #import imutils CONNECTIVITY = 4 DRAW_CIRCLE_RADIUS = 5 -imageorg = cv2.imread('testimage.jpg') -imageorginal = cv2.imread('testimage.jpg') +imageorg = cv2.imread('testimage3.jpg') +cv2.namedWindow('image',cv2.WINDOW_NORMAL) +#cv2.resizeWindow('image', 600,600) +imageorg = resize(imageorg) +#imageorginal = cv2.imread('testimage4.jpg') gray = cv2.cvtColor(imageorg, cv2.COLOR_BGR2GRAY) thresh = cv2.threshold(gray, 120, 255, cv2.THRESH_BINARY)[1] height, width, channels = imageorg.shape + + + + # perform a series of erosions and dilations to remove # any small blobs of noise from the thresholded image # thresh = cv2.erode(thresh, None, iterations=2) @@ -110,8 +122,8 @@ for x in range(int(height / 2)): if (distance[3]==0) and (distance[2] <= x) and inArea(int(distance[0]),int(distance[1]),int(width/2),int(height/2),int(width/2),0,int((width / 2) + int(height / 2) / 2), int(height / 2 - numpy.sqrt(3)*int(height / 2)/2)): cv2.circle(imageorg, (int(distance[0]),int(distance[1])), DRAW_CIRCLE_RADIUS, (0, 255, 0), thickness=1) testCount+=1 - osc_send(note_C, "local") - osc_process() + note = oscbuildparse.OSCMessage("/notes", None, ["C",261.63,60]) + osc_send(note, "local") #print(testCount) distance[3] = 1 # elif (distance[3]==0) and (distance[2] <= x) and inArea(int(distance[0]),int(distance[1]),int(width/2),int(height/2),int((width / 2) + int(height / 2) / 2), int(height / 2 - numpy.sqrt(3)*int(height / 2)/2),int((width / 2) + numpy.sqrt(3)*int(height / 2)/2), int(height / 2 - int(height / 2) / 2)): @@ -121,7 +133,8 @@ for x in range(int(height / 2)): # distance[3] = 1 elif (distance[3]==0) and (distance[2] <= x) and inArea(int(distance[0]),int(distance[1]),int(width/2),int(height/2),int((width / 2) + numpy.sqrt(3)*int(height / 2)/2), int(height / 2 - int(height / 2) / 2),int(width/2 + height / 2), int(height / 2)): cv2.circle(imageorg, (int(distance[0]),int(distance[1])), DRAW_CIRCLE_RADIUS, (50, 150, 20), thickness=1) - #osc_send(note_D, "local") + note = oscbuildparse.OSCMessage("/notes", None, ["D",293.66,62]) + osc_send(note, "local") #osc_process() distance[3] = 1 # elif (distance[3]==0) and (distance[2] <= x) and inArea(int(distance[0]),int(distance[1]),int(width/2),int(height/2),int(width/2 + height / 2), int(height / 2),int((width / 2) + numpy.sqrt(3)*int(height / 2)/2), int(height / 2 + int(height / 2) / 2)): @@ -131,12 +144,14 @@ for x in range(int(height / 2)): # distance[3] = 1 elif (distance[3]==0) and (distance[2] <= x) and inArea(int(distance[0]),int(distance[1]),int(width/2),int(height/2),int((width / 2) + numpy.sqrt(3)*int(height / 2)/2), int(height / 2 + int(height / 2) / 2),int((width / 2) + int(height / 2) / 2), int(height / 2 + numpy.sqrt(3)*int(height / 2)/2)): cv2.circle(imageorg, (int(distance[0]),int(distance[1])), DRAW_CIRCLE_RADIUS, (200, 200, 50), thickness=1) - #osc_send(note_E, "local") + note = oscbuildparse.OSCMessage("/notes", None, ["E",329.63,64]) + osc_send(note, "local") #osc_process() distance[3] = 1 elif (distance[3]==0) and (distance[2] <= x) and inArea(int(distance[0]),int(distance[1]),int(width/2),int(height/2),int((width / 2) + int(height / 2) / 2), int(height / 2 + numpy.sqrt(3)*int(height / 2)/2),int(width / 2),int(height)): cv2.circle(imageorg, (int(distance[0]),int(distance[1])), DRAW_CIRCLE_RADIUS, (200, 200, 200), thickness=1) - #osc_send(note_F, "local") + note = oscbuildparse.OSCMessage("/notes", None, ["F",349.23,65]) + osc_send(note, "local") #osc_process() distance[3] = 1 # elif (distance[3]==0) and (distance[2] <= x) and inArea(int(distance[0]),int(distance[1]),int(width/2),int(height/2),int(width / 2),int(height),int((width / 2) - int(height / 2) / 2), int(height / 2 + numpy.sqrt(3)*int(height / 2)/2)): @@ -146,7 +161,8 @@ for x in range(int(height / 2)): # distance[3] = 1 elif (distance[3]==0) and (distance[2] <= x) and inArea(int(distance[0]),int(distance[1]),int(width/2),int(height/2),int((width / 2) - int(height / 2) / 2), int(height / 2 + numpy.sqrt(3)*int(height / 2)/2),int((width / 2) - numpy.sqrt(3)*int(height / 2)/2), int(height / 2 + int(height / 2) / 2)): cv2.circle(imageorg, (int(distance[0]),int(distance[1])), DRAW_CIRCLE_RADIUS, (0, 250, 200), thickness=1) - #osc_send(note_G, "local") + note = oscbuildparse.OSCMessage("/notes", None, ["G",392.00,67]) + osc_send(note, "local") #osc_process() distance[3] = 1 # elif (distance[3]==0) and (distance[2] <= x) and inArea(int(distance[0]),int(distance[1]),int(width/2),int(height/2),int((width / 2) - numpy.sqrt(3)*int(height / 2)/2), int(height / 2 + int(height / 2) / 2),int((width / 2) - (height / 2)),int(height / 2) ): @@ -156,7 +172,8 @@ for x in range(int(height / 2)): # distance[3] = 1 elif (distance[3]==0) and (distance[2] <= x) and inArea(int(distance[0]),int(distance[1]),int(width/2),int(height/2),int((width / 2) - (height / 2)),int(height / 2),int((width / 2) - numpy.sqrt(3)*int(height / 2)/2), int(height / 2 - int(height / 2) / 2) ): cv2.circle(imageorg, (int(distance[0]),int(distance[1])), DRAW_CIRCLE_RADIUS, (0,150, 250), thickness=1) - #osc_send(note_A, "local") + note = oscbuildparse.OSCMessage("/notes", None, ["A",440.00,69]) + osc_send(note, "local") #osc_process() distance[3] = 1 # elif (distance[3]==0) and (distance[2] <= x) and inArea(int(distance[0]),int(distance[1]),int(width/2),int(height/2),int((width / 2) - numpy.sqrt(3)*int(height / 2)/2), int(height / 2 - int(height / 2) / 2),int((width / 2) - int(height / 2) / 2), int(height / 2 - numpy.sqrt(3)*int(height / 2)/2) ): @@ -166,12 +183,15 @@ for x in range(int(height / 2)): # distance[3] = 1 elif (distance[3]==0) and (distance[2] <= x) and inArea(int(distance[0]),int(distance[1]),int(width/2),int(height/2),int((width / 2) - int(height / 2) / 2), int(height / 2 - numpy.sqrt(3)*int(height / 2)/2),int(width / 2),0 ): cv2.circle(imageorg, (int(distance[0]),int(distance[1])), DRAW_CIRCLE_RADIUS, (50,250, 250), thickness=1) - #osc_send(note_B, "local") + note = oscbuildparse.OSCMessage("/notes", None, ["B",493.88,71]) + osc_send(note, "local") #osc_process() distance[3] = 1 + + osc_process() #cv2.circle(imageorg, (389,33), DRAW_CIRCLE_RADIUS, (0, 255, 0), thickness=1) - cv2.imshow('Overlay',drawingImage) + cv2.imshow('image',drawingImage) cv2.waitKey(100) #returns true if point is in triangle ABC diff --git a/testimage2.jpg b/testimage2.jpg new 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