/
utils.py
193 lines (170 loc) · 6.21 KB
/
utils.py
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from typing import Tuple, Any, Optional, List, Union
import albumentations as A
import cv2
import numpy as np
from PIL import Image
import random
def text_to_pic(text: str) -> np.array:
"""
Convert text to picture
:param text: (str) text to convert
the text string in the image
:return: (numpy.array) array of shape (100, 200, 3)
"""
# create canvas
# choice random color
color = tuple(np.random.choice(255) for _ in range(3))
# choice random font
font = 3
fontScale = 3
thickness = 3
text_size = cv2.getTextSize(text, font, fontScale, 2)[0]
canvas = np.full((text_size[1] + 1024, text_size[0] + 1024, 3), 255, dtype=np.uint8)
x, y = get_center(text_size, canvas)
canvas = cv2.putText(canvas, text, (x, y), font, fontScale, color, thickness)
return canvas
def get_center(text_size: Tuple[int, int], canvas: np.array, ) -> Tuple[int, int]:
"""
get center coordinate fot text
:param text_size: (Tuplt[int, int])
:param canvas: (np.array)
:return: (Tuple[int, int]) center coordinate
"""
# get coords based on boundary
text_x = (canvas.shape[1] - text_size[0]) // 2
text_y = (canvas.shape[0] + text_size[1]) // 2
return text_x, text_y
class Transformer(object):
def __init__(self):
"""
init albumentation augmentations
"""
border_color = (255, 255, 255)
self.transform = A.Compose([
A.OneOf([
A.GridDistortion(7, 1., cv2.INTER_LINEAR, cv2.BORDER_CONSTANT, value=border_color, p=.8),
A.ElasticTransform(1., alpha_affine=50, interpolation=cv2.INTER_CUBIC,
border_mode=cv2.BORDER_CONSTANT, value=border_color, p=.8)
], p=1.),
A.OneOf([
A.Rotate(10, cv2.INTER_NEAREST, cv2.BORDER_CONSTANT, value=border_color, ),
A.Rotate(10, cv2.INTER_NEAREST, cv2.BORDER_CONSTANT, value=border_color, ),
A.Rotate(10, cv2.INTER_NEAREST, cv2.BORDER_CONSTANT, value=border_color, )
], p=0.5),
])
def __call__(self, img: Any) -> Any:
"""
transform image
:param img: (np.array or pil.Image)
:return: (np.array or pil.Image)
"""
return self.transform(image=img)['image']
def text_to_pic_transform(text: str) -> np.array:
"""
Convert text to picture and added augmentations
:param text: (str) Text
:return: (np.array)
"""
transformer = Transformer()
return transformer(text_to_pic(text))
def add_text_to_img(text: str, icon_im: np.array) -> np.array:
"""
add text image to icon image.
:param text: (str) text
:param icon_im: (np.array) icon image
:return: (np.array) joined image. (h, w, c) type uint8
"""
# transform text to image
text_img = text_to_pic_transform(text)
# get mask
img2gray = cv2.cvtColor(text_img, cv2.COLOR_BGR2GRAY)
mask = img2gray != 255
h_size, w_size = mask.shape
# crop extra space
height_mask = mask.any(axis=1)
width_mask = mask.any(axis=0)
ind_h = np.arange(h_size)
ind_w = np.arange(w_size)
w = ind_w[width_mask][[0, -1]]
h = ind_h[height_mask][[0, -1]]
cut_text_img = text_img[h[0]:h[1], w[0]:w[1]]
res_text = cv2.resize(cut_text_img, dsize=(128, 30), interpolation=cv2.INTER_AREA)
img2gray = cv2.cvtColor(icon_im, cv2.COLOR_BGR2GRAY)
mask_icon = img2gray < 240
canvas = np.full(icon_im.shape, 255, dtype=np.uint8)
canvas[mask_icon] = icon_im[mask_icon]
join_img = canvas.copy()
if join_img.shape[1] != 128:
join_img = cv2.resize(join_img, dsize=(128, 128), interpolation=cv2.INTER_AREA)
res_text_gray = cv2.cvtColor(res_text, cv2.COLOR_BGR2GRAY)
res_mask = res_text_gray != 255
if np.random.randint(2) == 1:
join_img[-30:][res_mask] += res_text[res_mask]
else:
join_img[:30][res_mask] += res_text[res_mask]
return join_img
def rotate_bound(image, angle):
# grab the dimensions of the image and then determine the
# center
(h, w) = image.shape[:2]
(cX, cY) = (w // 2, h // 2)
# grab the rotation matrix (applying the negative of the
# angle to rotate clockwise), then grab the sine and cosine
# (i.e., the rotation components of the matrix)
M = cv2.getRotationMatrix2D((cX, cY), -angle, 1.0)
cos = np.abs(M[0, 0])
sin = np.abs(M[0, 1])
# compute the new bounding dimensions of the image
nW = int((h * sin) + (w * cos))
nH = int((h * cos) + (w * sin))
# adjust the rotation matrix to take into account translation
M[0, 2] += (nW / 2) - cX
M[1, 2] += (nH / 2) - cY
# perform the actual rotation and return the image
return cv2.warpAffine(image, M, (nW, nH), borderValue=(255, 255, 255))
def add_logo_to_pic(logo: np.array, pic: Union[np.array, str], coord: List[int],
angle: Optional[int] = None) -> np.array:
"""
Added logo to picture
:param logo: (uint8 array) Logo
:param pic: (union[uint8 array, str]) array or path to image
:param coord: (list) top left point to paste logo in pic
:param angle: ([int]) Angle to rotate the logo
:return: (np.array) joined image. (h, w, c) type uint8
"""
logo_ = logo.copy()
if angle is not None:
logo_ = rotate_bound(logo_, angle)
img2gray = logo_.mean(axis=-1)
logo_mask = img2gray < 255
h, w, _ = logo_.shape
if isinstance(pic, str):
joined_img = np.array(Image.open(pic))
else:
joined_img = pic.copy()
joined_img[coord[0]:coord[0] + h,
coord[1]:coord[1] + w][logo_mask] = logo_[logo_mask]
return joined_img
def get_examples(logo: np.array) -> np.array:
"""
return random choice meme and return logo into meme
:param logo: (np.array)
:return: (np.array (h, v, c) uint8)
"""
examp_preset = {
'man': {
'pic': 'img/man.jpg',
'coord': [205, 245],
'angle': -4
},
'bad_guy': {
'pic': 'img/bad_guy.jpg',
'coord': [130, 205],
},
'svetlacov': {
'pic': 'img/Svetlakov.jpg',
'coord': [115, 220],
}
}
exp = random.choice(list(examp_preset))
return add_logo_to_pic(logo, **examp_preset[exp])