Scale an image

fourcell/calibrate.py

@@ -4,7 +4,7 @@ import cv2
 import numpy as np
 from os.path import exists, basename
 from json import dumps
-from common import display, draw_text
+from common import display, draw_text, read_json
 
 IN=25.4
 DPI=600
@@ -30,43 +30,97 @@ def create_blank(width, height):
 	return image
 
 def generate (args) :
+	if args.output is None:
+		print(f'Please include an -o/--output image')
+		exit(1)
+
 	print('generate')
 	print('--------')
+
 	dpi = DPI
 	if args.dpi is not None :
 		dpi = args.dpi
 	dpmm = dpi / IN
+
 	print(f'DPI:{dpi}')
 	print(f'DPMM:{dpmm}')
+
 	w = int(W * dpmm)
 	h = int(H * dpmm)
 	blank = create_blank(w, h)
-	print(f'Created {w},{h}')
+
 	topLeftX = int(round(w * 0.2))
 	topLeftY = int(round(h * 0.2))
 	bottomRightX = int(round(w * 0.8))
 	bottomRightY = int(round(h * 0.8))
 	hundred = int(round(100.0 * dpmm))
 	five = int(round(2.5 * dpmm))
+
 	cv2.line(blank, (topLeftX, topLeftY,), (topLeftX + hundred, topLeftY,), [0, 0, 0], 1) 
 	cv2.line(blank, (topLeftX, topLeftY,), (topLeftX, topLeftY + hundred,), [0, 0, 0], 1)
 
 	for i in MEASUREMENTS.keys() :
-		print(i)
 		if 'x' in MEASUREMENTS[i] is not None:
-			print(MEASUREMENTS[i]['x'])
 			x = int(round(MEASUREMENTS[i]['x'] * dpmm))
 			cv2.line(blank, (topLeftX + x, topLeftY + five,), (topLeftX + x, topLeftY - five,), [0, 0, 0], 1) 
 			draw_text(blank, (topLeftX + x, topLeftY - five - int(2 * dpmm),), f'{i}', dpi)
 		elif 'y' in MEASUREMENTS[i] is not None:
-			print(MEASUREMENTS[i]['y'])
 			y = int(round(MEASUREMENTS[i]['y'] * dpmm))
 			cv2.line(blank, (topLeftX + five, topLeftY + y,), (topLeftX - five, topLeftY + y,), [0, 0, 0], 1)
 			draw_text(blank, (topLeftX + five + int(2 * dpmm), topLeftY + y,), f'{i}', dpi)
 
-	#display(blank)
+	cv2.imwrite(args.output, blank)
+
+def calculate_scale (obj) :
+	xReal = 0
+	xMeasured = 0
+	yReal = 0
+	yMeasured = 0
+
+	for i in MEASUREMENTS.keys() :
+		if 'x' in MEASUREMENTS[i] is not None:
+			xReal += MEASUREMENTS[i]['x']
+			xMeasured += obj[i]
+		elif 'y' in MEASUREMENTS[i] is not None:
+			yReal += MEASUREMENTS[i]['y']
+			yMeasured += obj[i]
+
+	return xReal / xMeasured, yReal / yMeasured
+
+def merge (original, newImg) :
+	oH, oW = original.shape[:2]
+	nH, nW = newImg.shape[:2]
+
+	if nH == oH and nW == oW :
+		return newImg
+
+	if nH > oH and nW > oW :
+		# total crop
+		offsetX = int((nW - oW) / 2)
+		offsetY = int((nH - oH) / 2)
+		return newImg[offsetY:offsetY+oH, offsetX:offsetX+oW]
+
+	if nH < oH and nW < oW :
+		# total placement
+		offsetX = int((oH - nH) / 2)
+		offsetY = int((oW - nW) / 2)
+		original[offsetY:offsetY+nH, offsetX:offsetX+nW] = newImg
+		return original
+
+	if nH > oH and nW <= oW :
+		offsetX = int((oW - nW) / 2)
+		offsetY = int((nH - oH) / 2)
+		crop = newImg[offsetY:offsetY+oH,0:nW]
+		original[0:oH, offsetX:offsetX+nW] = crop
+		return original
+
+	if nH <= oH and nW > oW :
+		offsetX = int((nW - oW) / 2)
+		offsetY = int((oH - nH) / 2)
+		crop = newImg[0:nH,offsetX:offsetX+oW]
+		original[offsetY:offsetY+nH, 0:oW] = crop
+		return original
 
-	cv2.imwrite('test.jpg', blank)
 
 def calibrate (args) :
 	print('calibrate')
@@ -81,22 +135,58 @@ def calibrate (args) :
 		val = input(f'{m}: ')
 		json[m] = float(val)
 
+	x, y = calculate_scale(json)
+
+	json['x'] = x
+	json['y'] = y
+
 	txt=dumps(json, sort_keys = True, indent = 4)
 	if args.output is None :
 		print(f'{txt}')
 	else :
 		print(f'Wrote file to {args.output}')
+		with open(args.output, 'w') as output:
+			output.write(txt)
 
 def scale (args) :
 	print('scale')
 	print('-----')
 
+	if args.calibration is None :
+		print(f'Please provide a calibration file (-c/--calibration)')
+		exit(1)
+
+	if args.input is None :
+		print(f'Please provide an input file (-i/--input)')
+		exit(2)
+
+	if args.output is None:
+		print(f'Please provide an output file (-o/--output)')
+		exit(3)
+
+	obj = read_json(args.calibration)
+
+	img = cv2.imread(args.input)
+	height, width = img.shape[:2]
+
+	output = create_blank(width, height)
+
+	newWidth = int(round(width * obj['x']))
+	newHeight = int(round(height * obj['y']))
+	dim = (newWidth, newHeight)
+	resized = cv2.resize(img, dim, interpolation = cv2.INTER_AREA)
+
+	output = merge(output, resized)
+	cv2.imwrite(args.output, output)
+
+
 def main () :
 	parser = argparse.ArgumentParser()
 	parser.add_argument('action',  help='The action to perform', choices=ACTIONS)
 	parser.add_argument('--dpi', '-d', help='DPI to generate', required=False, type=int)
 	parser.add_argument('--input', '-i', help='Input file', required=False)
 	parser.add_argument('--output', '-o', help='Output file', required=False)
+	parser.add_argument('--calibration', '-c', help='Calibration file', required=False)
 	args = parser.parse_args()
 
 	if args.action == 'generate' :