| import cv2 |
| import numpy as np |
| from PIL import Image |
|
|
| class pixL: |
| |
| def __init__(self,numOfSquaresW = None, numOfSquaresH= None, size = [False, (512,512)],square = 6,ImgH = None,ImgW = None,images = [],background_image = None): |
| self.images = images |
| self.size = size |
| self.ImgH = ImgH |
| self.ImgW = ImgW |
| self.square = square |
| self.numOfSquaresW = numOfSquaresW |
| self.numOfSquaresH = numOfSquaresH |
|
|
| def preprocess(self): |
| for image in self.images: |
|
|
| size = (image.shape[0] - (image.shape[0] % 4), image.shape[1] - (image.shape[1] % 4)) |
| image = cv2.resize(image, size) |
| image = cv2.cvtColor(image.astype(np.uint8), cv2.COLOR_BGR2RGB) |
| |
| if len(self.images) == 1: |
| return self.images[0] |
| else: |
| return self.images |
|
|
| def toThePixL(self,images, pixel_size): |
| self.images = [] |
| self.square = pixel_size |
| for image in images: |
| image = Image.fromarray(image) |
| image = image.convert("RGB") |
| self.ImgW, self.ImgH = image.size |
| self.images.append(pixL.epicAlgorithm(self, image)) |
| |
| return pixL.preprocess(self) |
|
|
| def numOfSquaresFunc(self): |
| self.numOfSquaresW = round((self.ImgW / self.square) + 1) |
| self.numOfSquaresH = round((self.ImgH / self.square) + 1) |
|
|
| def epicAlgorithm(self, image): |
| pixValues = [] |
| pixL.numOfSquaresFunc(self) |
|
|
| for j in range(1,self.numOfSquaresH): |
|
|
| for i in range(1,self.numOfSquaresW): |
| |
| pixValues.append((image.getpixel(( |
| i * self.square - self.square//2, |
| j * self.square - self.square//2)), |
| (i * self.square - self.square//2, |
| j * self.square - self.square//2))) |
| |
| background = 255 * np.ones(shape=[self.ImgH - self.square, |
| self.ImgW - self.square*2, 3], |
| dtype=np.uint8) |
| |
| for pen in range(len(pixValues)): |
|
|
| cv2.rectangle(background, |
| pt1=(pixValues[pen][1][0] - self.square,pixValues[pen][1][1] - self.square), |
| pt2=(pixValues[pen][1][0] + self.square,pixValues[pen][1][1] + self.square), |
| color=(pixValues[pen][0][2],pixValues[pen][0][1],pixValues[pen][0][0]), |
| thickness=-1) |
| background = np.array(background).astype(np.uint8) |
| background = cv2.resize(background, (self.ImgW,self.ImgH), interpolation = cv2.INTER_AREA) |
|
|
| return background |
