int main(int argc, char** argv)
{
int counter = 0;
ccv_dense_matrix_t* image = 0;
ccv_enable_default_cache();
ccv_read(argv[1], &image, CCV_IO_GRAY | CCV_IO_ANY_FILE);
if (image != 0)
{
ccv_array_t* words = ccv_swt_detect_words(image, ccv_swt_default_params);
if (words)
{
int i;
for (i = 0; i < words->rnum; i++)
{
char filename[256];
ccv_matrix_t* box = 0;
ccv_rect_t* rect = (ccv_rect_t*)ccv_array_get(words, i);
ccv_slice(image, &box, 0, rect->y, rect->x, rect->height, rect->width);
printf("%d %d %d %d\n", rect->x, rect->y, rect->width, rect->height);
snprintf(filename, 256, "out-%d.png", ++counter);
ccv_write(box, filename, NULL, CCV_IO_PNG_FILE, NULL);
}
}
ccv_array_free(words);
}
ccv_drain_cache();
return 0;
}
int
main(int argc, char** argv)
{
printf("Edge Detection Benchmark ...\n");
ccv_enable_default_cache();
unsigned int elapsed_time;
ccv_dense_matrix_t* yuv = 0;
ccv_read(argv[1], &yuv, CCV_IO_GRAY | CCV_IO_ANY_FILE);
/* ORIGIN */
ccv_dense_matrix_t* canny = 0;
elapsed_time = get_current_time();
ccv_canny(yuv, &canny, 0, 3, 175, 320);
elapsed_time = get_current_time() - elapsed_time;
printf("origin: %ums\n", elapsed_time);
ccv_matrix_free(canny);
/* SLICE & DETECT */
int X_SLICE = atoi(argv[2]), Y_SLICE = atoi(argv[3]);
int i, count = X_SLICE * Y_SLICE;
int slice_rows = yuv->rows / Y_SLICE;
int slice_cols = yuv->cols / X_SLICE;
ccv_dense_matrix_t* canny_arr[count];
elapsed_time = get_current_time();
#pragma omp parallel for
for (i = 0; i < count; i++) {
int y = i / X_SLICE;
int x = i - X_SLICE * y;
ccv_dense_matrix_t* slice = 0;
ccv_slice(yuv, (ccv_matrix_t**)&slice, 0, slice_rows * y, slice_cols * x, slice_rows, slice_cols);
#ifdef DEBUG
cos_ccv_slice_output(slice, y, x);
#endif
canny_arr[i] = 0;
ccv_canny(slice, &canny_arr[i], 0, 3, 175, 320);
}
elapsed_time = get_current_time() - elapsed_time;
printf("slice & detect: %ums\n", elapsed_time);
unsigned int slice_time = elapsed_time; /* save to compute total time */
/* MERGE */
ccv_dense_matrix_t* final_output = 0;
elapsed_time = get_current_time();
cos_ccv_merge(canny_arr, &final_output, yuv->rows, yuv->cols, X_SLICE, Y_SLICE);
elapsed_time = get_current_time() - elapsed_time;
printf("merge: %ums\n", elapsed_time);
ccv_matrix_free(final_output);
printf("parallel total: %ums\n", slice_time + elapsed_time);
ccv_matrix_free(yuv);
ccv_disable_cache();
return 0;
}
int
main(int argc, char** argv)
{
printf("Face Detection Benchmark ...\n");
ccv_enable_default_cache();
ccv_dense_matrix_t* image = 0;
ccv_bbf_classifier_cascade_t* cascade = ccv_bbf_read_classifier_cascade(argv[4]);
ccv_read(argv[1], &image, CCV_IO_GRAY | CCV_IO_ANY_FILE);
unsigned int elapsed_time;
ccv_array_t* seq;
elapsed_time = get_current_time();
seq = ccv_bbf_detect_objects(image, &cascade, 1, ccv_bbf_default_params);
elapsed_time = get_current_time() - elapsed_time;
printf("origin: %d in %dms\n", seq->rnum, elapsed_time);
ccv_array_free(seq);
int X_SLICE = atoi(argv[2]), Y_SLICE = atoi(argv[3]);
int sliced_total = 0;
int slice_rows = image->rows / Y_SLICE;
int slice_cols = image->cols / X_SLICE;
int i, count = X_SLICE * Y_SLICE;
elapsed_time = get_current_time();
#pragma omp parallel for shared(sliced_total)
for (i = 0; i < count; i++) {
int y = i / X_SLICE;
int x = i - X_SLICE * y;
ccv_dense_matrix_t* slice = 0;
ccv_slice(image, (ccv_matrix_t**)&slice, 0, slice_rows * y, slice_cols * x, slice_rows, slice_cols);
ccv_array_t* sseq = ccv_bbf_detect_objects(slice, &cascade, 1, ccv_bbf_default_params);
sliced_total += sseq->rnum;
#ifdef DEBUG
cos_ccv_slice_output(slice, y, x);
#endif
}
elapsed_time = get_current_time() - elapsed_time;
printf("slice & detect: %d in %dms\n", sliced_total, elapsed_time);
ccv_matrix_free(image);
ccv_bbf_classifier_cascade_free(cascade);
ccv_disable_cache();
return 0;
}
int main(int argc, char** argv)
{
ccv_nnc_init();
ccv_convnet_t* convnet = ccv_convnet_read(0, argv[2]);
ccv_dense_matrix_t* image = 0;
ccv_read(argv[1], &image, CCV_IO_ANY_FILE | CCV_IO_RGB_COLOR);
if (image != 0)
{
ccv_dense_matrix_t* input = 0;
ccv_convnet_input_formation(convnet->input, image, &input);
ccv_matrix_free(image);
ccv_dense_matrix_t* sliced = 0;
ccv_slice(input, (ccv_matrix_t**)&sliced, 0, (input->rows - 225) / 2, (input->cols - 225) / 2, 225, 225);
ccv_matrix_free(input);
ccv_dense_matrix_t* b = 0;
unsigned int elapsed_time = get_current_time();
ccv_convnet_encode(convnet, &sliced, &b, 1);
printf("ccv_convnet_encode %u ms\n", get_current_time() - elapsed_time);
ccv_nnc_tensor_t* c = ccv_nnc_tensor_new(0, ONE_CPU_TENSOR(1000), 0);
ccv_nnc_graph_exec_t source, dest;
ccv_array_t* tensors = ccv_array_new(sizeof(ccv_nnc_tensor_t*), 1, 0);
ccv_nnc_graph_t* graph = ccv_nnc_simple_graph(convnet, (ccv_nnc_tensor_t*)sliced, c, &source, &dest, tensors);
elapsed_time = get_current_time();
ccv_nnc_graph_run(graph, 0, &source, 1, &dest, 1);
printf("ccv_nnc_graph_run %u ms\n", get_current_time() - elapsed_time);
int i;
for (i = 0; i < 1000; i++)
if (fabsf(b->data.f32[i] - c->data.f32[i]) > 1e-4)
printf("mis-match at %d: %f %f\n", i, b->data.f32[i], c->data.f32[i]);
ccv_nnc_tensor_free(c);
ccv_matrix_free(sliced);
ccv_matrix_free(b);
ccv_nnc_graph_free(graph);
for (i = 0; i < tensors->rnum; i++)
ccv_nnc_tensor_free(*(ccv_nnc_tensor_t**)ccv_array_get(tensors, i));
ccv_array_free(tensors);
}
ccv_convnet_free(convnet);
return 0;
}
