animation/fourcell/apply_image.py

118 lines
2.9 KiB
Python

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
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_RGB2RGBA)
# 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']}")
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])
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), borderMode=cv2.BORDER_TRANSPARENT)
output[0:rows, 0:cols] = dst
cv2.imwrite(outputFile, output)
print(f'Wrote {outputFile}')