Graduate

Update scaleFactor

1 [verification_server] 1 [verification_server]
2 model=models/20200816-080621 2 model=models/20200816-080621
3 -threshold=0.775 3 +threshold=0.78
4 image_size=160 4 image_size=160
......
...@@ -153,7 +153,7 @@ function main() ...@@ -153,7 +153,7 @@ function main()
153 src.copyTo(dst); 153 src.copyTo(dst);
154 // detect faces. 154 // detect faces.
155 let msize = new cv.Size(video.width / 4, video.height / 4); 155 let msize = new cv.Size(video.width / 4, video.height / 4);
156 - classifier.detectMultiScale(dst, faces, 1.1, 3, 0, msize); 156 + classifier.detectMultiScale(dst, faces, 1.1, 5, 0, msize);
157 // draw faces. 157 // draw faces.
158 for (let i = 0; i < faces.size(); ++i) { 158 for (let i = 0; i < faces.size(); ++i) {
159 let face = faces.get(i); 159 let face = faces.get(i);
......
...@@ -133,7 +133,7 @@ function main() ...@@ -133,7 +133,7 @@ function main()
133 src.copyTo(dst); 133 src.copyTo(dst);
134 // detect faces. 134 // detect faces.
135 let msize = new cv.Size(video.width / 4, video.height / 4); 135 let msize = new cv.Size(video.width / 4, video.height / 4);
136 - classifier.detectMultiScale(dst, faces, 1.1, 3, 0, msize); 136 + classifier.detectMultiScale(dst, faces, 1.1, 5, 0, msize);
137 // draw faces. 137 // draw faces.
138 for (let i = 0; i < faces.size(); ++i) { 138 for (let i = 0; i < faces.size(); ++i) {
139 let face = faces.get(i); 139 let face = faces.get(i);
......