animation/fourcell/apply_image.py

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

holeConstant = .0156862745 # 160/10200

# 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('Using points: ')
	print(points)

	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
	return cv2.cvtColor(original, cv2.COLOR_BGR2BGRA)

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
	#return image
	return cv2.cvtColor(image, cv2.COLOR_BGR2BGRA)

# 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']]]

def get_mask (img) :
	lower = np.array([0,0,0,0])
	upper= np.array([0,0,0,0])
	mask = cv2.inRange(img, lower, upper)
	return cv2.bitwise_not(mask)

def combine_images (bg, fg, mask) :
	fk = cv2.bitwise_or(fg, fg, mask=mask)
	mask = cv2.bitwise_not(mask)
	bk = cv2.bitwise_or(bg, bg, mask=mask)
	return cv2.bitwise_or(fk, bk)

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']}")

hole = round(tmpl['width'] * holeConstant)
blank = create_blank(tmpl['width'], tmpl['height'])
output = blank.copy() #
#output = cv2.imread(templateFile.replace('.calibration.json', ''))

hp = tmpl['holePunches']
for i in hp:
	print(hp[i])
	cv2.circle(output, (hp[i]['x'], hp[i]['y'],), hole, (0, 0, 0,), -1)

#cv2.imwrite(outputFile, output)

#for i in range(0, len(images)) :
#	frame = cv2.imread(images[i])
#	frame = cv2.cvtColor(frame, cv2.COLOR_RGB2RGBA)
#	cv2.imwrite(f'test{i}.png', output)
#	output = apply_image_to_points(output, frame, to_points(tmpl[f'{i}']))
#	print(f'Applied {basename(images[i])}')

target = cv2.imread(images[0])
target = cv2.cvtColor(target, cv2.COLOR_BGR2BGRA)
points = to_points(tmpl['0'])

rows, cols, ch = output.shape
ir, ic, ich = target.shape

print('Using points: ')
print(points)

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), 
	flags = cv2.INTER_CUBIC, 
	borderMode = cv2.BORDER_CONSTANT, 
	borderValue = [0, 0, 0, 0])

#mask = cv2.inRange(dst, [0, 0, 0, 0], [0, 0, 0, 0])

output[0:rows, 0:cols] = dst

display(output)
#cv2.imwrite(outputFile, output)
##print(f'Wrote {outputFile}')