Closedown

script/CoverDetection.py

@@ -9,8 +9,9 @@ line = load_image("{images}/line.png", title="Line")
 line.getProcessor().setBackgroundValue(0.0)
 
 #renderer = show_panel(line.bufferedImage)
-ip = get_image()
-
+#ip = get_image()
+ip = average_frames(5)
+ip =grayscale(ip)
 
 smooth(ip)
 #bandpass_filter(ip, 30, 1000)
@@ -32,7 +33,7 @@ for m in AutoThresholder.getMethods():
     renderer = show_panel(aux.bufferedImage)
     time.sleep(1.0)
 """
-#binary_fill_holes(ip, dark_background=True)
+binary_dilate(ip, dark_background=False)
 #binary_fill_holes(ip, dark_background=False)
 #binary_open(ip, dark_background=Tr)
 
@@ -45,13 +46,16 @@ renderer = show_panel(ip.bufferedImage)
 
 
 
-line = sub_image(line, 89, 89, 1024, 1024)
-ip = sub_image(ip, 89, 89, 1024, 1024)
+line = sub_image(line, 325, 325, 512, 512)
+ip = sub_image(ip, 325, 325, 512, 512)
 #op = op_fft(ip, line, "correlate") 
 
+
+renderer = show_panel(ip.bufferedImage)
+
 #renderer = show_panel(op.bufferedImage)
 #line.show()
-
+"""
 vals = []
 for i in range (180):
     l = line.duplicate()
@@ -64,8 +68,8 @@ for i in range (180):
     
     #renderer = show_panel(op.bufferedImage)
     #time.sleep(0.001)
-
-
+plot(vals)
+"""
 #image_fft(ip)
 
 

script/LedDetectionProc.py

@@ -34,23 +34,33 @@ renderer.clearOverlays()
 invert(image)
 auto_threshold(image, method = "MaxEntropy") #Tested ok:  MaxEntropy, Triangle, Yen
 #binary_open(aux)
-(r,output) =  analyse_particles(image, 250,1000, 
+(r,output) =  analyse_particles(image, 150,1000, 
         fill_holes = True, exclude_edges = False, print_table=False,
         output_image = "outlines", minCirc = 0.3
         , maxCirc = 1.0)
 
 points = ""
 npoints = 0
+x=[]
+y=[]
 for row in range (r.counter):
     if in_roi(r.getValue("XM",row), r.getValue("YM",row)):
         #x, y = int(r.getValue("XM", row))+roi[0], int(r.getValue("YM", row))+roi[1]
-        x, y = int(r.getValue("XM", row)), int(r.getValue("YM", row))
-        points = points + " (" + str(x) + ", "  + str(y) + ")"
+        x.append(int(r.getValue("XM", row)))
+        y.append(int(r.getValue("YM", row)))
+        points = points + " (" + str(x[-1]) + ", "  + str(y[-1]) + ")"
         npoints = npoints + 1
-        renderer.addOverlay(Crosshairs(Pen(java.awt.Color.MAGENTA),  java.awt.Point(x,y), java.awt.Dimension(15,15)))
+        renderer.addOverlay(Crosshairs(Pen(java.awt.Color.MAGENTA),  java.awt.Point(x[-1],y[-1]), java.awt.Dimension(15,15)))
 
 print str(npoints) + " - " + points   
 print r
+
+print x
+print y
+
+offset = int(math.sqrt(1000)/2)
+cv = (min(x)-offset, min(y)-offset, max(x)+offset, max(y)+offset)
+renderer.addOverlay(Rect(Pen(java.awt.Color.MAGENTA),  java.awt.Point(cv[0], cv[1]), java.awt.Dimension(cv[2]-cv[0],cv[3]-cv[1])))
 #show_panel(output.getBufferedImage())
 
 #img.backgroundEnabled=False

script/local.py

@@ -58,8 +58,7 @@ def average (ips):
 def grab_frames(samples):
     frames = []            
     for i in range(samples):
-        aux = get_image()
-        grayscale(aux)
+        aux = get_image()        
         frames.append(aux)        
     return frames
     
@@ -80,7 +79,9 @@ def get_roi():
 def get_image():
     roi =  get_roi()
     ip = load_image(img.image)                            
-    return sub_image(ip, roi[0], roi[1], roi[2], roi[3])
+    ret = sub_image(ip, roi[0], roi[1], roi[2], roi[3])
+    grayscale(ret)
+    return ret
 
 
 def detect_pucks(ip):