-
Notifications
You must be signed in to change notification settings - Fork 2
/
index.js
133 lines (121 loc) · 5.31 KB
/
index.js
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
'use strict';
var Q = require('q'),
cv = require('opencv'),
fs = require('fs'),
Debug = require('debug'),
debug = new Debug('profile-pic');
module.exports = function (inFile, outputs) {
if (!outputs || !Object.keys(outputs)) {
throw new Error('No configuration specified');
}
return Q.promise(function (finalResolve, finalReject) {
if (!fs.existsSync(inFile)) {
return finalReject('Input image file not found');
}
cv.readImage(inFile, function (err, image) {
if (err) {
return finalReject(err);
}
debug('* Loaded image: %j', image.size());
var promises = outputs.map(function (output, idx) {
return Q.promise(function (resolve, reject) {
debug('* Generating image: %j', [output.height, output.width]);
if (!output.filename) {
output.filename = inFile.replace(/^(.*)(\.\w+)$/, '$1-out-' + (idx + 1).toString() + '$2');
}
var im = image.copy();
var width = output.width;
var height = output.height;
if (output.avatar) {
debug('* Detecting faces');
var bim = im.copy();
bim.convertGrayscale();
return bim.detectObject(cv.FACE_CASCADE, {
neighbors: 5
}, function (err, faces) {
debug(err);
try {
if (err || !faces || !faces.length) {
throw new Error('No faces detected');
}
debug('* Faces detected: %d', faces.length);
output.faces = faces.length;
var finalFace, faceSize = 0;
for (var i = 0; i < faces.length; i += 1) {
var face = faces[i];
if (face.width * face.height >= faceSize) {
faceSize = face.width * face.height;
finalFace = face;
}
}
var x = finalFace.x - (finalFace.width * 0.5),
y = finalFace.y - (finalFace.height * 0.5),
w = finalFace.width * 2,
h = finalFace.height * 2,
width = bim.size()[1],
height = bim.size()[0];
if (w > width) {
w = width;
} else if (w + x > width) {
x -= (width - w);
w = width;
}
if (h > height) {
h = height;
} else if (h + y > height) {
y -= (height - h);
h = height;
}
if (x < 0) {
x = 0;
}
if (y < 0) {
y = 0;
}
im = im.crop(x, y, w, h);
} catch (e) {
output.faces = 0;
}
output.im = im;
return resolve(output);
});
}
var w = im.size()[1],
h = im.size()[0];
if (w < 10 || h < 10) {
return reject(new Error('Invalid input image'));
}
if (w <= h) {
h = Math.round((h * width) / w);
w = width;
} else {
w = Math.round((w * height) / h);
h = height;
}
im.resize(w, h);
if (h > height) {
im = im.crop(0, (h / 2) - (height / 2), width, height);
}
if (w > width) {
im = im.crop((w / 2) - (width / 2), 0, width, height);
}
output.im = im;
resolve(output);
});
});
Q.all(promises).then(function (outputs) {
try {
outputs = outputs.map(function (output) {
output.im.resize(output.width, output.height);
output.im.save(output.filename);
delete output.im;
return output;
});
finalResolve(outputs);
} catch (e) {
finalReject(e);
}
});
});
});
};