static gboolean
process (GeglOperation *operation,
GeglBuffer *out_buf,
const GeglRectangle *roi,
gint level)
{
GeglBufferIterator *iter;
const Babl *out_format = gegl_operation_get_format (operation,
"output");
if (gegl_operation_use_opencl (operation))
{
GeglBufferClIterator *cl_iter;
gboolean err;
GEGL_NOTE (GEGL_DEBUG_OPENCL, "GEGL_OPERATION_POINT_RENDER: %s",
GEGL_OPERATION_GET_CLASS (operation)->name);
cl_iter = gegl_buffer_cl_iterator_new (out_buf, roi, out_format,
GEGL_CL_BUFFER_WRITE);
while (gegl_buffer_cl_iterator_next (cl_iter, &err) && !err)
{
err = cl_process (operation, cl_iter->tex[0], cl_iter->roi);
if (err)
{
gegl_buffer_cl_iterator_stop (cl_iter);
break;
}
}
if (err)
GEGL_NOTE (GEGL_DEBUG_OPENCL, "Error: %s",
GEGL_OPERATION_GET_CLASS (operation)->name);
else
return TRUE;
}
iter = gegl_buffer_iterator_new (out_buf, roi, level, out_format,
GEGL_ACCESS_WRITE, GEGL_ABYSS_NONE);
while (gegl_buffer_iterator_next (iter))
c_process (operation, iter->data[0], &iter->roi[0]);
return TRUE;
}
/* Iterates through the classification directory, passing each image to the
* c_process() function which performs the actual classification */
void NumberClassifier::classify(void) {
int n = c_numbers;
if (n < 0) {
std::cerr << "Error opening directory" << std::endl;
}
while (n--) {
std::string img_name = std::string(c_list[n]->d_name);
int img_num = img_name.at(0) - 0x30;
cv::Mat img = cv::imread(c_dir + img_name, CV_LOAD_IMAGE_COLOR);
if (img.empty())
std::cerr << "Image not loaded" << std::endl;
else {
pre_process(img);
int guess = c_process(img);
if (img_num == guess)
correct.at(img_num)++;
guesses.at(img_num)++;
}
delete c_list[n];
}
delete c_list;
}
