void test_data() {
ifstream fin("ctest.csv");
ofstream fout("test-output");
while(!fin.eof()) {
vector<int> image(NUM_PIXELS, 0);
bool flag = false;
for(int i=0; i < NUM_PIXELS; i++) {
fin >> image[i];
if (fin.eof()) {
flag = true;
break;
}
}
if (flag) break;
vector<int> binaryImage = threshold(image);
fout << classify_image(binaryImage) << endl;
// cout << image[123] << " "<< classify_image(binaryImage) << endl;
}
}
static GstFlowReturn
kms_face_detector_transform_frame_ip (GstVideoFilter * filter,
GstVideoFrame * frame)
{
KmsFaceDetector *facedetector = KMS_FACE_DETECTOR (filter);
GstMapInfo info;
if ((facedetector->priv->haar_detector)
&& (facedetector->priv->pCascadeFace == NULL)) {
return GST_FLOW_OK;
}
kms_face_detector_initialize_images (facedetector, frame);
gst_buffer_map (frame->buffer, &info, GST_MAP_READ);
facedetector->priv->cvImage->imageData = (char *) info.data;
cvResize (facedetector->priv->cvImage, facedetector->priv->cvResizedImage,
CV_INTER_LINEAR);
g_mutex_lock (&facedetector->priv->mutex);
if (facedetector->priv->qos_control) {
facedetector->priv->throw_frames++;
GST_DEBUG ("Filter is too slow. Frame dropped %d",
facedetector->priv->throw_frames);
g_mutex_unlock (&facedetector->priv->mutex);
goto send;
}
g_mutex_unlock (&facedetector->priv->mutex);
cvClearSeq (facedetector->priv->pFaceRectSeq);
cvClearMemStorage (facedetector->priv->pStorageFace);
if (facedetector->priv->haar_detector) {
facedetector->priv->pFaceRectSeq =
cvHaarDetectObjects (facedetector->priv->cvResizedImage,
facedetector->priv->pCascadeFace, facedetector->priv->pStorageFace, 1.2,
3, CV_HAAR_DO_CANNY_PRUNING,
cvSize (facedetector->priv->cvResizedImage->width / 20,
facedetector->priv->cvResizedImage->height / 20),
cvSize (facedetector->priv->cvResizedImage->width / 2,
facedetector->priv->cvResizedImage->height / 2));
} else {
classify_image (facedetector->priv->cvResizedImage,
facedetector->priv->pFaceRectSeq);
}
send:
if (facedetector->priv->pFaceRectSeq->total != 0) {
kms_face_detector_send_event (facedetector, frame);
}
gst_buffer_unmap (frame->buffer, &info);
return GST_FLOW_OK;
}
void train_image(vector<int> &image, int label) {
// Increment weights
for(int i=0; i < NUM_PIXELS; i++)
if (image[i] > 0)
weights[i][label]++;
int guess = classify_image(image);
// Decrement weights (error correction)
for(int i=0; i < NUM_PIXELS; i++)
if (image[i] > 0)
weights[i][guess]--;
}
int main ( int argc, char** argv )
{
FILE* fh;
byte_t* buf;
size_t flen;
class_t cls;
flags_t flags;
if ( get_options ( argc, argv, &flags ) )
return 1;
if ( ! ( buf = alloc_buffer ( ) ) )
return 1;
if ( ! ( fh = open_input_file ( argv [ argc - 1 ] ) ) )
return 1;
if ( ! ( flen = load_file ( buf, fh ) ) )
return 1;
if ( classify_image ( &cls, buf, flen ) )
return 1;
if ( flags.action == ACTION_CONVERT )
return action_convert ( &cls, buf, flen, argv [ argc - 1 ] );
else
return action_print ( &cls );
}