Python Image.open方法代码示例

# 需要导入模块: from SimpleCV import Image [as 别名]
# 或者: from SimpleCV.Image import open [as 别名]
	def getAttributesFromNetwork(self,Network,image):
		# The arrays above will hold the attribute information for the Network
		ShapeList = []
		AngleList = []
		FillList = []
		SizeList = [] # The scale will be 1-5; with 5 being the biggest
		AdditionList = []
		print Network.letter
		# Open the image path from the Problems (Image Data) folder
		image = Image.open(image)
		# Convert it to grayscale for easy processing
		grayscale = image.convert("L")
		# Convert it to black and white to ensure that there aren't any pixels of any
		# other color.
		blackwhite = grayscale.point(self.filter,"1")
		image = blackwhite
		image = image.convert("RGB")
		width,height = image.size
		colorindex = 0
		# Translate the image into pictures with various colors
		while True:
			color = DISTINCT_COLORS[colorindex]
			colorindex += 1
			blackpixel = None
			for x,y,pixel in self.walk(image):
				if pixel == (0,0,0):
					blackpixel = (x,y)
					break
			if not blackpixel:
				break
			
			neighbors = [blackpixel]
			while len(neighbors) > 0:
				processing = list(neighbors)
				neighbors = []
				for x,y in processing:
					image.putpixel((x,y),color)
					new = [(x-1,y),(x+1,y),(x,y-1),(x,y+1)]
					for x,y, in new:
						if (x,y) in neighbors:
							continue
						if x < 0 or x >= width:
							continue
						if y < 0 or y >= height:
							continue
						if image.getpixel((x,y)) != (0,0,0):
							continue
						neighbors.append((x,y))
		# We use the count to save each network as a different image
		self.count = str(self.count)
		# Save the network image
		image.save("Project4/ImagesForProcessing/colored"+self.count+".png")
		# Open the network image; here, we'll convert it to a bunch of different 
		# images with different shapes representing the networks
		im = Image.open("Project4/ImagesForProcessing/colored"+self.count+".png")
		# Separate the images
		colors_dict = color_separator(im)
		imageCount = 0
		# Iterate through the color dictionary for all of the images
		for key,value in colors_dict.iteritems():
			if key == (255, 255, 255):
				imageCount += 1
				continue
			imageCount = str(imageCount)
			# grab the individual image,
			# save it,
			value.save("Project4/ImagesForProcessing/"+Network.letter+"coloredSmall"+imageCount+".png")
			# then read it back with OpenCV for processing
			img = cv2.imread("Project4/ImagesForProcessing/"+Network.letter+"coloredSmall"+imageCount+".png")
			# Convert it to grayscale; it processes better this way
			imgray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
			ret,thresh = cv2.threshold(imgray,127,255,0)
			# find the contours in the image
			contours,hierarchy = cv2.findContours(thresh,cv2.RETR_TREE,cv2.CHAIN_APPROX_SIMPLE)
			# iterate through the contours,
			#print "Contour Length: ",len(contours)
			#if not contours:
				#print "No Contours"
			for cnt in contours:
				if (len(contours)) == 1:
					FillList.append("yes")
				else:
					FillList.append("no")
				#print "Looking through contours"
				#if (count%2) == 1:
					#count = count + 1
					#print "Count2: ",count
					#continue
				# approximate how many sides it has
				approx = cv2.approxPolyDP(cnt,0.01*cv2.arcLength(cnt,True),True)
				print len(approx)
				area = cv2.contourArea(cnt)
				if len(approx) == 5:
					print "Half-Arrow"
					ShapeList.append("Half-Arrow")
				if len(approx) == 7:
					print "Arrow"
					ShapeList.append("Arrow")
				elif len(approx) == 3:
					print "Triangle"
#.........这里部分代码省略.........

# 需要导入模块: from SimpleCV import Image [as 别名]
# 或者: from SimpleCV.Image import open [as 别名]
        BAD_PACKET = False
        IMG_BUFFER = BytesIO()
    if NEXT_PACKET != SEQ_NUM:
        BAD_PACKET = True
        NEXT_PACKET = 0
        syslog.syslog(syslog.LOG_DEBUG, "Missed packet sequence number."\
        + "Expected %s, got %s" % (NEXT_PACKET, SEQ_NUM))
    if binascii.crc32(PAYLOAD) != CRC_32:
        BAD_PACKET = True
        syslog.syslog(syslog.LOG_DEBUG, "Bad PAYLOAD CRC in packet")
    if BAD_PACKET == False and NEXT_PACKET == SEQ_NUM:
        for i in range(0, BYTES_SENT):
            IMG_BUFFER.write(list(PAYLOAD)[i])
        NEXT_PACKET += 1
    if LAST_PKT == True and BAD_PACKET == False:
        for proc in psutil.process_iter():
            if proc.name == "display":
                proc.kill()
        NEXT_PACKET = 0
        FILE_NAME = str(int(time.time())) + '.jpg'
        JPG_FILE = open(FILE_NAME, 'wb')
        JPG_FILE.write(IMG_BUFFER.getvalue())
        JPG_FILE.close()
        Image.open(StringIO(IMG_BUFFER.getvalue())).show()
    elif LAST_PKT == True and BAD_PACKET == True:
        NEXT_PACKET = 0
        BAD_PACKET = False
        syslog.syslog(syslog.LOG_ERR,
            "Received last packet afer bad packets.  Resetting")
>>>>>>> 978c811362e9a2947741249d19bac3a7a378b04a