Create faceSym.py
Browse files- faceSym.py +294 -0
faceSym.py
ADDED
@@ -0,0 +1,294 @@
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1 |
+
# based on eggplants/face-symmetrizer
|
2 |
+
from __future__ import annotations
|
3 |
+
|
4 |
+
import io
|
5 |
+
import re
|
6 |
+
from copy import copy
|
7 |
+
from os import path
|
8 |
+
from typing import Any, Dict, List, Tuple
|
9 |
+
from urllib.request import urlopen
|
10 |
+
|
11 |
+
import face_recognition # type: ignore[import]
|
12 |
+
import numpy as np
|
13 |
+
from PIL import Image, ImageDraw, ImageOps
|
14 |
+
|
15 |
+
PILImage = Image.Image
|
16 |
+
FaceLandmarks = List[Dict[str, List[Tuple[Any, ...]]]]
|
17 |
+
|
18 |
+
|
19 |
+
class FaceIsNotDetected(Exception):
|
20 |
+
"""[summary]
|
21 |
+
|
22 |
+
Args:
|
23 |
+
Exception ([type]): [description]
|
24 |
+
"""
|
25 |
+
|
26 |
+
pass
|
27 |
+
|
28 |
+
|
29 |
+
class FaceSym:
|
30 |
+
"""[summary]"""
|
31 |
+
|
32 |
+
SimImages = Tuple[PILImage, PILImage, PILImage, PILImage, PILImage, PILImage]
|
33 |
+
|
34 |
+
def __init__(self, img_location: str) -> None:
|
35 |
+
"""[summary]
|
36 |
+
|
37 |
+
Args:
|
38 |
+
img_location (str): [description]
|
39 |
+
|
40 |
+
Raises:
|
41 |
+
ValueError: [description]
|
42 |
+
"""
|
43 |
+
self.f_img: np.ndarray[Any, Any]
|
44 |
+
self.image_location = img_location
|
45 |
+
if self.__is_valid_url(img_location):
|
46 |
+
self.__load_from_url(img_location)
|
47 |
+
elif path.isfile(img_location):
|
48 |
+
self.__load_from_local(img_location)
|
49 |
+
else:
|
50 |
+
raise ValueError(
|
51 |
+
f"{repr(img_location)} is not a valid location of an image."
|
52 |
+
)
|
53 |
+
|
54 |
+
self.f_img_PIL = Image.fromarray(self.f_img)
|
55 |
+
self.image_size: tuple[int, int] = self.f_img_PIL.size
|
56 |
+
self.face_locations = face_recognition.face_locations(self.f_img)
|
57 |
+
self.face_landmarks = face_recognition.face_landmarks(self.f_img)
|
58 |
+
self.mid_face_locations = self.__get_mid_face_locations(self.face_landmarks)
|
59 |
+
self.face_count = len(self.face_locations)
|
60 |
+
|
61 |
+
def get_cropped_face_images(self,) -> list[PILImage]:
|
62 |
+
"""[summary]
|
63 |
+
|
64 |
+
Returns:
|
65 |
+
List[PILImage]: [description]
|
66 |
+
"""
|
67 |
+
images = []
|
68 |
+
for face_location in self.face_locations:
|
69 |
+
top, right, bottom, left = face_location
|
70 |
+
cropped_face_img = self.f_img[top:bottom, left:right]
|
71 |
+
pil_img = Image.fromarray(cropped_face_img)
|
72 |
+
|
73 |
+
images.append(pil_img)
|
74 |
+
|
75 |
+
return images
|
76 |
+
|
77 |
+
def get_face_box_drawed_image(self) -> PILImage:
|
78 |
+
"""[summary]
|
79 |
+
|
80 |
+
Returns:
|
81 |
+
PILImage: [description]
|
82 |
+
"""
|
83 |
+
pil = copy(self.f_img_PIL)
|
84 |
+
draw = ImageDraw.Draw(pil)
|
85 |
+
for idx, (top, right, bottom, left) in enumerate(self.face_locations):
|
86 |
+
name = str(f"{idx:02d}")
|
87 |
+
mid_face = self.mid_face_locations[idx]
|
88 |
+
|
89 |
+
draw.rectangle(((left, top), (right, bottom)), outline=(0, 0, 255))
|
90 |
+
|
91 |
+
_, text_height = draw.textsize(name)
|
92 |
+
draw.rectangle(
|
93 |
+
((left, bottom - text_height - 10), (right, bottom)),
|
94 |
+
fill=(0, 0, 255),
|
95 |
+
outline=(0, 0, 255),
|
96 |
+
)
|
97 |
+
draw.text((left + 6, bottom - text_height - 5), name, fill=(255, 255, 255))
|
98 |
+
|
99 |
+
draw.line(
|
100 |
+
((mid_face[0], -10), mid_face, (mid_face[0], self.image_size[0])),
|
101 |
+
fill=(255, 255, 0),
|
102 |
+
width=10,
|
103 |
+
)
|
104 |
+
del draw
|
105 |
+
return pil
|
106 |
+
|
107 |
+
def get_full_image(
|
108 |
+
self, is_pil: bool = False
|
109 |
+
) -> np.ndarray[Any, Any] | PILImage:
|
110 |
+
"""[summary]
|
111 |
+
|
112 |
+
Args:
|
113 |
+
is_pil (bool, optional): [description]. Defaults to False.
|
114 |
+
|
115 |
+
Returns:
|
116 |
+
Union[np.ndarray, PILImage]: [description]
|
117 |
+
"""
|
118 |
+
|
119 |
+
if is_pil:
|
120 |
+
return self.f_img_PIL
|
121 |
+
else:
|
122 |
+
return self.f_img
|
123 |
+
|
124 |
+
def get_symmetrized_images(self, idx: int = 0) -> SimImages:
|
125 |
+
"""[summary]
|
126 |
+
|
127 |
+
Args:
|
128 |
+
idx (int, optional): [description]. Defaults to 0.
|
129 |
+
|
130 |
+
Returns:
|
131 |
+
SimImages: [description]
|
132 |
+
"""
|
133 |
+
|
134 |
+
def get_concat_h(im1: PILImage, im2: PILImage) -> PILImage:
|
135 |
+
dst = Image.new("RGB", (im1.width + im2.width, im1.height))
|
136 |
+
dst.paste(im1, (0, 0))
|
137 |
+
dst.paste(im2, (im1.width, 0))
|
138 |
+
return dst
|
139 |
+
|
140 |
+
face_count = len(self.mid_face_locations)
|
141 |
+
if face_count < 1:
|
142 |
+
raise FaceIsNotDetected
|
143 |
+
elif face_count <= idx:
|
144 |
+
raise IndexError(f"0 <= idx <= {face_count - 1}")
|
145 |
+
else:
|
146 |
+
mid_face = self.mid_face_locations[idx]
|
147 |
+
|
148 |
+
cropped_left_img = self.f_img[0 : self.image_size[1], 0 : int(mid_face[0])]
|
149 |
+
cropped_right_img = self.f_img[
|
150 |
+
0 : self.image_size[1], int(mid_face[0]) : self.image_size[0]
|
151 |
+
]
|
152 |
+
|
153 |
+
pil_img_left = Image.fromarray(cropped_left_img)
|
154 |
+
pil_img_left_mirrored = ImageOps.mirror(pil_img_left)
|
155 |
+
pil_img_left_inner = get_concat_h(pil_img_left, pil_img_left_mirrored)
|
156 |
+
pil_img_left_outer = get_concat_h(pil_img_left_mirrored, pil_img_left)
|
157 |
+
|
158 |
+
pil_img_right = Image.fromarray(cropped_right_img)
|
159 |
+
pil_img_right_mirrored = ImageOps.mirror(pil_img_right)
|
160 |
+
pil_img_right_inner = get_concat_h(pil_img_right_mirrored, pil_img_right)
|
161 |
+
pil_img_right_outer = get_concat_h(pil_img_right, pil_img_right_mirrored)
|
162 |
+
|
163 |
+
return (
|
164 |
+
pil_img_left,
|
165 |
+
pil_img_left_inner,
|
166 |
+
pil_img_left_outer,
|
167 |
+
pil_img_right,
|
168 |
+
pil_img_right_inner,
|
169 |
+
pil_img_right_outer,
|
170 |
+
)
|
171 |
+
|
172 |
+
def __load_from_url(self, url: str) -> None:
|
173 |
+
"""[summary]
|
174 |
+
|
175 |
+
Args:
|
176 |
+
url (str): [description]
|
177 |
+
|
178 |
+
Raises:
|
179 |
+
ValueError: [description]
|
180 |
+
"""
|
181 |
+
if not self.__is_valid_url(url):
|
182 |
+
raise ValueError(f"{repr(url)} is not valid url")
|
183 |
+
else:
|
184 |
+
img_data = io.BytesIO(urlopen(url).read())
|
185 |
+
self.f_img = face_recognition.load_image_file(img_data)
|
186 |
+
|
187 |
+
def __load_from_local(self, path_: str) -> None:
|
188 |
+
if path.isfile(path_):
|
189 |
+
self.f_img = face_recognition.load_image_file(path_)
|
190 |
+
|
191 |
+
@staticmethod
|
192 |
+
def __is_valid_url(url: str) -> bool:
|
193 |
+
"""[summary]
|
194 |
+
|
195 |
+
Args:
|
196 |
+
url (str): [description]
|
197 |
+
|
198 |
+
Returns:
|
199 |
+
bool: [description]
|
200 |
+
|
201 |
+
Note:
|
202 |
+
Copyright (c) Django Software Foundation and individual
|
203 |
+
contributors. All rights reserved.
|
204 |
+
"""
|
205 |
+
regex = re.compile(
|
206 |
+
r"^(?:http|ftp)s?://" # http:// or https://
|
207 |
+
# domain...
|
208 |
+
r"(?:(?:[A-Z0-9](?:[A-Z0-9-]{0,61}[A-Z0-9])?\.)+(?:[A-Z]{2,6}\.?|"
|
209 |
+
r"[A-Z0-9-]{2,}\.?)|"
|
210 |
+
r"localhost|" # localhost...
|
211 |
+
r"\d{1,3}\.\d{1,3}\.\d{1,3}\.\d{1,3})" # ...or ip
|
212 |
+
r"(?::\d+)?" # optional port
|
213 |
+
r"(?:/?|[/?]\S+)$",
|
214 |
+
re.IGNORECASE,
|
215 |
+
)
|
216 |
+
return re.match(regex, url) is not None
|
217 |
+
|
218 |
+
@staticmethod
|
219 |
+
def __get_mid_face_locations(
|
220 |
+
face_landmarks: FaceLandmarks,
|
221 |
+
) -> list[tuple[int, int]]:
|
222 |
+
"""[summary]
|
223 |
+
|
224 |
+
Args:
|
225 |
+
face_landmarks (FaceLandmarks): [description]
|
226 |
+
|
227 |
+
Returns:
|
228 |
+
List[Tuple[int, int]]: [description]
|
229 |
+
"""
|
230 |
+
|
231 |
+
def mean(lst: list[int]) -> int:
|
232 |
+
return int(sum(lst) / len(lst))
|
233 |
+
|
234 |
+
mid_faces = []
|
235 |
+
for face_landmark in face_landmarks:
|
236 |
+
if not ("left_eye" in face_landmark and "right_eye" in face_landmark):
|
237 |
+
raise ValueError("eye locations was missing.")
|
238 |
+
l_e_xs = [i[0] for i in face_landmark["left_eye"]]
|
239 |
+
l_e_ys = [i[1] for i in face_landmark["left_eye"]]
|
240 |
+
r_e_xs = [i[0] for i in face_landmark["right_eye"]]
|
241 |
+
r_e_ys = [i[1] for i in face_landmark["right_eye"]]
|
242 |
+
mid_face = (
|
243 |
+
(mean(l_e_xs) + mean(r_e_xs)) // 2,
|
244 |
+
(mean(l_e_ys) + mean(r_e_ys)) // 2,
|
245 |
+
)
|
246 |
+
mid_faces.append(mid_face)
|
247 |
+
return mid_faces
|
248 |
+
|
249 |
+
|
250 |
+
def main() -> None:
|
251 |
+
"""[summary]"""
|
252 |
+
data = list(
|
253 |
+
map(
|
254 |
+
lambda x: "https://pbs.twimg.com/media/%s?format=jpg" % x,
|
255 |
+
[
|
256 |
+
"E7okHDEVUAE1O6i",
|
257 |
+
"E7jaibgUcAUWvg-",
|
258 |
+
"E7jahEbUcAMNLdU",
|
259 |
+
"E7Jqli9VEAEStvs",
|
260 |
+
"E7Jqk-aUcAcfg3o",
|
261 |
+
"E7EhGi2XoAsMrO5",
|
262 |
+
"E5dhLccUYAUD5Yx",
|
263 |
+
"E5TOAqUVUAMckXT",
|
264 |
+
"E4vK6e0VgAAksnK",
|
265 |
+
"E4Va7u4VkAAKde3",
|
266 |
+
"E4A0ksEUYAIpynP",
|
267 |
+
"E3xXzcyUYAIX1dC",
|
268 |
+
"E2zkvONVcAQEE_S",
|
269 |
+
"E1cBsxDUcAIe_LZ",
|
270 |
+
"E1W4HTRVUAgYkmo",
|
271 |
+
"E1HbVAeVIAId5yP",
|
272 |
+
"E09INVFUcAYpcWo",
|
273 |
+
"E0oh0hmUUAAfJV9",
|
274 |
+
],
|
275 |
+
)
|
276 |
+
)
|
277 |
+
success, fail = 0, 0
|
278 |
+
for idx, link in enumerate(data):
|
279 |
+
print(f"[{idx:02d}]", link, end="")
|
280 |
+
f = FaceSym(link)
|
281 |
+
if f.face_count != 0:
|
282 |
+
print("=>Detected")
|
283 |
+
f.get_symmetrized_images()
|
284 |
+
success += 1
|
285 |
+
else:
|
286 |
+
print("=>Not Detected")
|
287 |
+
fail += 1
|
288 |
+
|
289 |
+
else:
|
290 |
+
print(f"DATA: {len(data)}", f"OK: {success}", f"NG: {fail}")
|
291 |
+
|
292 |
+
|
293 |
+
if __name__ == "__main__":
|
294 |
+
main()
|