1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
|
import click
from app.settings import types
from app.utils import click_utils
from app.settings import app_cfg as cfg
@click.command()
@click.option('-i', '--input', 'opt_fp_in', default=None, required=True,
help='Image filepath')
@click.option('-o', '--output', 'opt_fp_out', default=None,
help='GIF output path')
@click.option('--size', 'opt_size',
type=(int, int), default=(300, 300),
help='Output image size')
@click.option('-g', '--gpu', 'opt_gpu', default=0,
help='GPU index')
@click.option('-f', '--force', 'opt_force', is_flag=True,
help='Force overwrite file')
@click.option('--display/--no-display', 'opt_display', is_flag=True, default=True,
help='Display detections to debug')
@click.pass_context
def cli(ctx, opt_fp_in, opt_fp_out, opt_gpu, opt_size, opt_force, opt_display):
"""Face detector demo"""
import sys
import os
from os.path import join
from pathlib import Path
import time
from tqdm import tqdm
import numpy as np
import pandas as pd
import cv2 as cv
import dlib
from app.utils import logger_utils, file_utils, im_utils, display_utils, draw_utils
from app.utils import plot_utils
from app.processors import face_detector, face_age_gender
from app.models.data_store import DataStore
log = logger_utils.Logger.getLogger()
# -------------------------------------------------
# load image
im = cv.imread(opt_fp_in)
im_resized = im_utils.resize(im, width=opt_size[0], height=opt_size[1])
# ----------------------------------------------------------------------------
# detect face
face_detector = face_detector.DetectorCVDNN()
bboxes = face_detector.detect(im_resized, largest=True)
bbox_norm = bboxes[0]
dim = im_resized.shape[:2][::-1]
bbox_dim = bbox_norm.to_dim(dim)
if not bbox_norm:
log.error('no face detected')
return
else:
log.info(f'face detected: {bbox_dim.to_xyxy()}')
# ----------------------------------------------------------------------------
# age
# real
age_real_predictor = face_age_gender.FaceAgeReal()
st = time.time()
age_real = age_real_predictor.predict(im_resized, bbox_norm)
log.info(f'age real took: {(time.time()-st)/1000:.5f}s')
# apparent
age_apparent_predictor = face_age_gender.FaceAgeApparent()
st = time.time()
age_apparent = age_apparent_predictor.predict(im_resized, bbox_norm)
log.info(f'age apparent took: {(time.time()-st)/1000:.5f}s')
# gender
gender_predictor = face_age_gender.FaceGender()
st = time.time()
gender = gender_predictor.predict(im_resized, bbox_norm)
log.info(f'gender took: {(time.time()-st)/1000:.5f}s')
# ethnicity
# TODO
# ----------------------------------------------------------------------------
# output
log.info(f'Face coords: {bbox_dim} face')
log.info(f'Age (real): {(age_real):.2f}')
log.info(f'Age (apparent): {(age_apparent):.2f}')
log.info(f'gender: {gender}')
# ----------------------------------------------------------------------------
# draw
# draw real age
im_age_real = im_resized.copy()
im_age_real = draw_utils.draw_bbox(im_age_real, bbox_norm)
txt = f'{(age_real):.2f}'
im_age_real = draw_utils.draw_text(im_age_real, bbox_norm.pt_tl, txt)
# apparent age
im_age_apparent = im_resized.copy()
im_age_apparent = draw_utils.draw_bbox(im_age_apparent, bbox_norm)
txt = f'{(age_apparent):.2f}'
im_age_apparent = draw_utils.draw_text(im_age_apparent, bbox_norm.pt_tl, txt)
# gender
im_gender = im_resized.copy()
im_gender = draw_utils.draw_bbox(im_gender, bbox_norm)
txt = f"M: {gender['m']:.2f}, F: {gender['f']:.2f}"
im_gender = draw_utils.draw_text(im_gender, (.1, .9), txt)
# ----------------------------------------------------------------------------
# save
if opt_fp_out:
# save pose only
fpp_out = Path(opt_fp_out)
fp_out = join(fpp_out.parent, f'{fpp_out.stem}_real{fpp_out.suffix}')
cv.imwrite(fp_out, im_age_real)
fp_out = join(fpp_out.parent, f'{fpp_out.stem}_apparent{fpp_out.suffix}')
cv.imwrite(fp_out, im_age_apparent)
fp_out = join(fpp_out.parent, f'{fpp_out.stem}_gender{fpp_out.suffix}')
cv.imwrite(fp_out, im_age_apparent)
# ----------------------------------------------------------------------------
# display
if opt_display:
# show all images here
cv.imshow('real', im_age_real)
cv.imshow('apparent', im_age_apparent)
cv.imshow('gender', im_gender)
display_utils.handle_keyboard()
|
