In the process of working out how to generate text to size
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@ -6,6 +6,28 @@ from os.path import exists, basename
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from common import image_resize, display, read_json
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holeConstant = .0156862745 # 160/10200
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fontConstant = 1/6000
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def generate_text (text, fontSize, rotation) :
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print(rotation)
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print(fontSize)
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print(text)
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print(len(text))
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w = (fontSize * len(text))
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h = (fontSize)
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image = cv2.putText(image, text, (w/2, h/2), cv2.FONT_HERSHEY_PLAIN, 1, [0, 0, 0], 3, cv2.LINE_AA)
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def to_rotation (i) :
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if i == 0 or i == 1 :
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return 90
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if i == 2 or i == 3 :
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return -90
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def to_text (fileName) :
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parts = fileName.split('.')
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name = parts[0]
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parts = name.split('_')
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return parts[len(parts)-1]
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# use top left, top right, bottom left
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def apply_image_to_points (original, target, points) :
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@ -93,6 +115,7 @@ print(f"Image size {tmpl['width']}x{tmpl['height']}")
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hole = round(tmpl['width'] * holeConstant)
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blank = create_blank(tmpl['width'], tmpl['height'])
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fontSize = round(tmpl['width'] * fontConstant)
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#blank = cv2.imread(templateFile.replace('.calibration.json', ''))
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output = blank.copy()
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@ -104,8 +127,11 @@ for i in hp:
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for i in range(0, len(images)) :
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frame = cv2.imread(images[i])
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frame = cv2.cvtColor(frame, cv2.COLOR_RGB2RGBA)
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cv2.imwrite(f'test{i}.png', output)
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#cv2.imwrite(f'test{i}.png', output)
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output = apply_image_to_points(output, frame, to_points(tmpl[f'{i}']))
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rotation = to_rotation(i)
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text = to_text(basename(images[i]))
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generate_text(text, fontSize, rotation)
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print(f'Applied {basename(images[i])}')
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output = cv2.cvtColor(output, cv2.COLOR_BGRA2BGR)
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@ -0,0 +1,30 @@
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import cv2
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import numpy as np
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fontConstant = 1/6000
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w=10200
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fontSize = round(fontConstant*w)
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#(label_width, label_height), baseline = cv2.getTextSize(label, FONT, FONT_SCALE, FONT_THICKNESS)
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#label_patch = np.zeros((label_height + baseline, label_width, 3), np.uint8)
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#label_patch[:,:] = bg_color
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def generate_text (text, fontSize, rotation) :
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rgb_color=(255,255,255)
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color = tuple(reversed(rgb_color))
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print(rotation)
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print(fontSize)
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print(text)
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print(len(text))
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(w, h), baseline = cv2.getTextSize(text, (round(w/2), round(h/2)), cv2.FONT_HERSHEY_PLAIN, 1, [0, 0, 0], 3, cv2.LINE_AA)
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w = (fontSize * len(text))
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h = (fontSize)
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print(f'{w}x{h}')
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image = np.zeros((h + baseline, w, 3), np.uint8)
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image[:] = color
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image = cv2.cvtColor(image, cv2.COLOR_BGR2BGRA)
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image = cv2.putText(image, text, (round(w/2), round(h/2)), cv2.FONT_HERSHEY_PLAIN, 1, [0, 0, 0], 3, cv2.LINE_AA)
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cv2.imwrite('test.png', image)
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generate_text("example", fontSize, 90)
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