Apply_image.py script is correctly placing images in the template locationg BUT is overwriting the starting blank image with a black background and doing so for all subsequent images. Not sure how to properly address this

fourcell/apply_image.py

@@ -0,0 +1,85 @@
+import sys
+import cv2
+import numpy as np
+from json import load
+from os.path import exists, basename
+from common import image_resize, display, read_json
+
+# use top left, top right, bottom left
+def apply_image_to_points (original, target, points) :
+	rows, cols, ch = original.shape
+	ir, ic, ich = target.shape
+
+	print(f'{cols}x{rows}')
+	print(f'{ic}x{ir}')
+
+	atPts = np.float32(points)
+	targetPts = np.float32([[0, 0], [ic, 0], [0, ir]])
+
+	M = cv2.getAffineTransform(targetPts, atPts)
+	dst = cv2.warpAffine(target, M, (cols, rows), borderMode=cv2.BORDER_TRANSPARENT)
+
+	original[0:rows, 0:cols] = dst
+
+	return original
+
+def create_blank(width, height):
+	rgb_color=(255,255,255)
+	image = np.zeros((height, width, 3), np.uint8)
+	color = tuple(reversed(rgb_color))
+	image[:] = color
+	gray = cv2.cvtColor(image, cv2.COLOR_RGB2GRAY)
+	return cv2.cvtColor(gray, cv2.COLOR_GRAY2RGB)
+
+# get points 0, 1 and 3 = top left, top right and bottom left
+def to_points (d) :
+	return ((d['0']['x'], d['0']['y']),(d['1']['x'], d['1']['y']),(d['3']['x'], d['3']['y']),)
+
+if len(sys.argv) < 2 :
+	print('Please provide an output destination file')
+	exit(1)
+
+outputFile = sys.argv[1]
+
+if len(sys.argv) < 3:
+	print('Please provide a calibration template to apply images to')
+	exit(2)
+
+templateFile = sys.argv[2]
+
+if not exists(templateFile) :
+	print('Calibration template does not exist, please provide one that does')
+	exit(3)
+
+if len(sys.argv) < 4:
+	print('Please provide at least one image to apply')
+	exit(4)
+
+if len(sys.argv) > 7:
+	print('Please provide maximum four images to apply')
+	exit(5)
+
+images = []
+for i in range(3, len(sys.argv)):
+	imagePath = sys.argv[i]
+	if not exists(imagePath) :
+		print(f'Image {imagePath} does not exist, exiting...')
+		exit(6)
+	images.append(imagePath)
+
+print('Using images: ')
+for img in images:
+	print(f' -> {basename(img)}')
+
+tmpl = read_json(templateFile)
+
+print(f"Image size {tmpl['width']}x{tmpl['height']}")
+
+blank = create_blank(tmpl['width'], tmpl['height'])
+output = blank.copy()
+for i in range(0, len(images)) :
+	frame = cv2.imread(images[i])
+	output = apply_image_to_points(output, frame, to_points(tmpl[f'{i}']))
+
+cv2.imwrite(outputFile, output)
+print(f'Wrote {outputFile}')

fourcell/calibrate.py

@@ -3,8 +3,8 @@ import cv2
 import numpy as np
 import math
 from os.path import exists, basename
-from common import image_resize, display, normalize_angle
-from json import load,dumps
+from common import image_resize, display, normalize_angle, read_json
+from json import dumps
 
 DEBUG = True
 
@@ -12,12 +12,6 @@ DEBUG = True
 order = [ 0, 2, 3, 5, 4, 1 ]
 matchMethods = ['cv2.TM_CCOEFF', 'cv2.TM_CCOEFF_NORMED', 'cv2.TM_CCORR', 'cv2.TM_CCORR_NORMED', 'cv2.TM_SQDIFF', 'cv2.TM_SQDIFF_NORMED']
 
-def read_text (textPath) :
-	holePunches = {}
-	with open(textPath) as json:
-		holePunches = load(json)
-	return holePunches
-
 #
 # CALIBRATE
 #
@@ -44,7 +38,7 @@ print(f'Calibrating to scan {basename(normalImage)}')
 
 registrationMark = cv2.imread('./registrationMark.png', 0)
 w, h = registrationMark.shape[:2]
-holePunches = read_text(normalText)
+holePunches = read_json(normalText)
 original = cv2.imread(normalImage)
 img = original.copy()
 height, width = img.shape[:2]

fourcell/common.py

@@ -1,5 +1,6 @@
 import cv2
 import math
+from json import load
 
 def image_resize(image, width = None, height = None, inter = cv2.INTER_AREA):
     dim = None
@@ -119,4 +120,10 @@ def normalize_angle (num, lower=0.0, upper=360.0, b=False):
 
         res = num * 1.0  # Make all numbers float, to be consistent
 
-    return res
+    return res
+
+def read_json (textPath) :
+    jsonOut = {}
+    with open(textPath) as json:
+        jsonOut = load(json)
+    return jsonOut