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aikatsu_charactors_detection.py
149 lines (121 loc) · 4.59 KB
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aikatsu_charactors_detection.py
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
import numpy as np
from functions import hsv_to_bgr, bgr_to_hsv
AIKATSU_NAMES = [
"ICHIGO",
"AOI",
"RAN",
"MIZUKI",
"OTOME",
"YURIKA",
"SAKURA",
"KAEDE"
]
# BGR
AIKATSU_ANIME_HAIRS = {
AIKATSU_NAMES[0]: (123, 235, 255),
AIKATSU_NAMES[1]: (174, 77, 57),
AIKATSU_NAMES[2]: (57, 63, 140),
AIKATSU_NAMES[3]: (212, 112, 194),
AIKATSU_NAMES[4]: (43, 138, 218),
AIKATSU_NAMES[5]: (215, 236, 233),
AIKATSU_NAMES[6]: (192, 169, 254),
AIKATSU_NAMES[7]: (62, 44, 197)
}
AIKATSU_MODEL_HAIRS = {
AIKATSU_NAMES[0]: (145, 228, 228),
AIKATSU_NAMES[1]: (174, 88, 80),
AIKATSU_NAMES[2]: (75, 76, 134),
AIKATSU_NAMES[3]: (211, 125, 197),
AIKATSU_NAMES[4]: (59, 156, 228),
AIKATSU_NAMES[5]: (243, 255, 255),
AIKATSU_NAMES[6]: (207, 184, 238),
AIKATSU_NAMES[7]: (78, 60, 203)
}
def detect_h_diff(ref_hair_color_map):
def func(hsv):
min_name = ''
min_hsv = (0, 0, 0)
min_h = 100000
for name, hair_bgr in ref_hair_color_map.items():
hair_hsv = bgr_to_hsv(hair_bgr)
diff = abs(hair_hsv[0] - hsv[0])
if diff < min_h:
min_h = diff
min_hsv = hair_hsv
min_name = name
return min_name, min_hsv
return func
def detect_bgr_diff(ref_hair_color_map):
def func(hsv):
bgr = hsv_to_bgr(hsv)
min_name = ''
min_bgr = (0, 0, 0)
min_diff = 100000
for name, hair_bgr in ref_hair_color_map.items():
diff = np.sqrt(sum([(hair_bgr[0] - bgr[0]) ** 2,
(hair_bgr[1] - bgr[1]) ** 2,
(hair_bgr[2] - bgr[2]) ** 2]))
if diff < min_diff:
min_diff = diff
min_bgr = hair_bgr
min_name = name
return min_name, bgr_to_hsv(min_bgr)
return func
def detect_hsv_diff(ref_hair_color_map):
def func(hsv):
min_name = ''
min_hsv = (0, 0, 0)
min_diff = 100000
for name, hair_bgr in ref_hair_color_map.items():
hair_hsv = bgr_to_hsv(hair_bgr)
diff = np.sqrt(sum([(hair_hsv[0] - hsv[0]) ** 2,
(hair_hsv[1] - hsv[1]) ** 2,
(hair_hsv[2] - hsv[2]) ** 2]))
if diff < min_diff:
min_diff = diff
min_hsv = hair_hsv
min_name = name
return min_name, min_hsv
return func
detect_aikatsu_charactors = {
'anime_based': {'h_diff': detect_h_diff(AIKATSU_ANIME_HAIRS),
'bgr_diff': detect_bgr_diff(AIKATSU_ANIME_HAIRS),
'hsv_diff': detect_hsv_diff(AIKATSU_ANIME_HAIRS)},
'model_based': {'h_diff': detect_h_diff(AIKATSU_MODEL_HAIRS),
'bgr_diff': detect_bgr_diff(AIKATSU_MODEL_HAIRS),
'hsv_diff': detect_hsv_diff(AIKATSU_MODEL_HAIRS)}
}
# --------------------------------------------
if __name__ == '__main__':
import cv2
import numpy as np
from functions import check_img, is_skin, get_hair_color_hsv, hsv_to_bgr, bgr_to_hsv
CASCADE_PATH = "./cascade/lbpcascade_animeface.xml"
# IN_IMG_PATHS = ["./test_imgs/face_detecting" + str(i + 1) + ".png" for i in range(14)]
# IN_IMG_PATHS = ["./test_imgs/hirari-hitori-kirari/face_detecting5.png"]
IN_IMG_PATHS = ["./test_imgs/hirari-hitori-kirari/face_detecting" + str(i + 1) + ".png" for i in range(5)]
OVERLAY_IMG_PATH = "./test_imgs/face_up3.jpg"
OUT_IMG_PATH = None # "./test_imgs/faces/"
CHECK_IMG_FLAG = False
def main(in_img_path):
rgb_img = cv2.imread(in_img_path)
overlay_img = cv2.imread(OVERLAY_IMG_PATH, -1)
cascade = cv2.CascadeClassifier(CASCADE_PATH)
faces = cascade.detectMultiScale(cv2.cvtColor(rgb_img, cv2.COLOR_BGR2GRAY),
scaleFactor=1.1, minNeighbors=1, minSize=(1, 1))
if len(faces) <= 0:
check_img(rgb_img, 'total', True, OUT_IMG_PATH)
return
for (x, y, w, h) in faces:
face_img = rgb_img[y:y + h, x:x + w]
if not is_skin(face_img):
continue
# color = hsv_to_bgr(get_hair_color_hsv(face_img))
name, hsv = detect_aikatsu_charactors['anime_based']['bgr_diff'](get_hair_color_hsv(face_img))
color = hsv_to_bgr(hsv)
cv2.rectangle(rgb_img, (x, y), (x + w, y + h), color, thickness=7)
check_img(rgb_img, 'total', True, OUT_IMG_PATH)
for in_img_path in IN_IMG_PATHS:
main(in_img_path)