deep_surface_detect.c

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#include "../common/common.h"
 
int main(void)
{
    sb_t_err err = SB_ERR_NONE;
    sb_t_info* sb_info = NULL;
    SB_HANDLE project = NULL;
    sb_t_roi* roi = NULL;
    sb_t_image* image = NULL;
    sb_t_res* res = NULL;
    sb_t_par par;
    sb_t_folder* folder = NULL;
    sb_t_solution_info* solution = NULL;
    int i;
 
    printf("Initialize the SqueezeBrains library\n");
    CHECK_FN_GOTO(sb_init("../sb.lic"));
 
#if defined(_WIN32)
    // "../../../win_x64/dl_framework" is the pre-defined relative path between working directory and SB Deep Learning Framework into the installation folder.
    CHECK_FN_GOTO(sb_init_dl("../../../win_x64/dl_framework"));
#else 
    CHECK_FN_GOTO(sb_init_dl(NULL));
#endif
 
    // Print library version.
    CHECK_FN_GOTO(sb_get_info(&sb_info, 0));
    printf("sb ver. %s, compiled on %s %s\n", sb_info->version_str, sb_info->compile_date, sb_info->compile_time);
 
    printf("wait for license...\n");
    CHECK_FN_GOTO(wait_license());
 
    CHECK_FN_GOTO(sb_solution_get_info("solution/deep_surface_tutorial." SB_SOLUTION_EXT, &solution));
    CHECK_FN_GOTO(sb_project_load(&project, "solution/deep_surface_tutorial." SB_SOLUTION_EXT, solution->projects.info[solution->current_project].uuid, SB_PROJECT_MODE_DETECTION_ONLY));
    CHECK_FN_GOTO(sb_project_get_par(project, &par));
    // blob parameters
    par.surface_blob_analysis = 1;
    par.blob_par.area.min = 10;
    par.blob_par.merge_area.min = 50;
    par.blob_par.blob_rle = 1;
    par.blob_par.blob_contour = 1;
    par.blob_par.merge_distance = 20;
    // devices parameters
    par.devices.type = SB_DEVICE_GPU; // set GPU device
    par.devices.id[0] = 0;            // set the first GPU detected on the machine (with index 0)
    CHECK_FN_GOTO(sb_project_set_par(project, &par));
    CHECK_FN_GOTO(sb_folder_load(&folder, "dataset", "png", 1, 0));
    for (i = 0; i < folder->n; i++)
    {
        CHECK_FN_GOTO(sb_image_load(&image, folder->file[i].name));
        CHECK_FN_GOTO(sb_roi_create(&roi, image->width, image->height));
        CHECK_FN_GOTO(sb_roi_set_rect(roi, 255, sb_rect(0, 0, image->width, image->height), 0));
        CHECK_FN_GOTO(sb_project_detection(project, image, roi, NULL, NULL));
        CHECK_FN_GOTO(sb_project_get_res(project, &res, 0));
        // Print the results
        printf("image: %s\n", folder->file[i].fname);
        printf("\t%d defect blobs found:\n", res->global.surface->blobs->size);
        for (int j = 0; j < res->global.surface->blobs->size; ++j)
            printf("\t\tul=(%d,%d), size=(%d,%d), area=%d\n", res->global.surface->blobs->blob[j].rect.x, res->global.surface->blobs->blob[j].rect.y, res->global.surface->blobs->blob[j].rect.width, res->global.surface->blobs->blob[j].rect.height, res->global.surface->blobs->blob[j].area);
        
        // Destroy the handles.
        CHECK_FN_GOTO(sb_image_destroy(&image));
        CHECK_FN_GOTO(sb_roi_destroy(&roi));
        CHECK_FN_GOTO(sb_res_destroy(&res));
    }
 
FnExit:
    sb_destroy_info(&sb_info);
    sb_project_destroy(&project);
    sb_image_destroy(&image);
    sb_roi_destroy(&roi);
    sb_res_destroy(&res);
    sb_folder_destroy(&folder);
    sb_solution_destroy_info(&solution);
 
    printf("Release SqueezeBrains library\n");
    sb_release();
 
    printf("Press ENTER to terminate\n");
    getchar();
    return (int)err;
}