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Fix false positives of face detection network for large faces

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This commit is contained in:
Dmitry Kurtaev
2019-07-22 12:18:57 +03:00
committed by Alexander Alekhin
parent ad092bf1ce
commit a2125594ea
4 changed files with 1817 additions and 4 deletions
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samples/dnn/face_detector/deploy.prototxt
+2 -2
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@@ -892,7 +892,7 @@ layer {
}
convolution_param {
num_output: 128
pad: 1
pad: 0
kernel_size: 3
stride: 1
weight_filler {
@@ -958,7 +958,7 @@ layer {
}
convolution_param {
num_output: 128
pad: 1
pad: 0
kernel_size: 3
stride: 1
weight_filler {
samples/dnn/face_detector/deploy_lowres.prototxt
+1790
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samples/dnn/js_face_recognition.html
+1 -1
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@@ -69,7 +69,7 @@ function recognize(face) {
function loadModels(callback) {
var utils = new Utils('');
var proto = 'https://raw.githubusercontent.com/opencv/opencv/3.4/samples/dnn/face_detector/deploy.prototxt';
var proto = 'https://raw.githubusercontent.com/opencv/opencv/3.4/samples/dnn/face_detector/deploy_lowres.prototxt';
var weights = 'https://raw.githubusercontent.com/opencv/opencv_3rdparty/dnn_samples_face_detector_20180205_fp16/res10_300x300_ssd_iter_140000_fp16.caffemodel';
var recognModel = 'https://raw.githubusercontent.com/pyannote/pyannote-data/master/openface.nn4.small2.v1.t7';
utils.createFileFromUrl('face_detector.prototxt', proto, () => {