Old feature extraction method

Joseph Redmon

2014-04-17 ec16ee612f8386d69176d02bf4147abaaec0fd00

Old feature extraction method

 Makefile

@@ -1,12 +1,12 @@
CC=gcc
COMMON=-Wall `pkg-config --cflags opencv`
COMMON=-Wall `pkg-config --cflags opencv` -I/usr/local/cuda/include/
UNAME = $(shell uname)
OPTS=-O3
ifeq ($(UNAME), Darwin)
COMMON+= -isystem /usr/local/Cellar/opencv/2.4.6.1/include/opencv -isystem /usr/local/Cellar/opencv/2.4.6.1/include
LDFLAGS= -framework OpenCL
else
OPTS+= -march=native -flto
OPTS+= -march=native
LDFLAGS= -lOpenCL
endif
CFLAGS= $(COMMON) $(OPTS)

 src/opencl.c

@@ -16,11 +16,13 @@
{
    cl_info info;
    info.initialized = 0;
    cl_uint platforms, devices;
    //cl_uint num_platforms, num_devices;
    // Fetch the Platform and Device IDs; we only want one.
    info.error=clGetPlatformIDs(1, &info.platform, &platforms);
    cl_device_id devices[2];
    info.error=clGetPlatformIDs(1, &info.platform, 0);
    check_error(info);
    info.error=clGetDeviceIDs(info.platform, CL_DEVICE_TYPE_ALL, 1, &info.device, &devices);
    info.error=clGetDeviceIDs(info.platform, CL_DEVICE_TYPE_ALL, 2, devices, 0);
    info.device = devices[rand()%2];
    check_error(info);

    cl_context_properties properties[]={

 src/tests.c

@@ -503,10 +503,11 @@
    IplImage *sized = cvCreateImage(cvSize(w,h), src->depth, src->nChannels);
    cvResize(src, sized, CV_INTER_LINEAR);
    image im = ipl_to_image(sized);
    normalize_array(im.data, im.h*im.w*im.c);
    //normalize_array(im.data, im.h*im.w*im.c);
    //translate_image(im, -144);
    resize_network(net, im.h, im.w, im.c);
    forward_network(net, im.data);
    image out = get_network_image_layer(net, 6);
    image out = get_network_image(net);
    free_image(im);
    cvReleaseImage(&sized);
    return copy_image(out);
@@ -660,12 +661,11 @@
    cvWaitKey(0);
}

void features_VOC_image(char *image_file, char *image_dir, char *out_dir)
void features_VOC_image(char *image_file, char *image_dir, char *out_dir, int flip)
{
    int flip = 1;
    int interval = 4;
    int i,j;
    network net = parse_network_cfg("cfg/voc_imagenet.cfg");
    network net = parse_network_cfg("cfg/voc_imagenet_nonorm.cfg");
    char image_path[1024];
    sprintf(image_path, "%s/%s",image_dir, image_file);
    char out_path[1024];
@@ -714,7 +714,9 @@
        fprintf(fp, "%d, %d, %d\n",out.c, out.h, out.w);
        for(j = 0; j < out.c*out.h*out.w; ++j){
            if(j != 0)fprintf(fp, ",");
            fprintf(fp, "%g", out.data[j]);
            float o = out.data[j];
            //if(o < 0) o = 0;
            fprintf(fp, "%g", o);
        }
        fprintf(fp, "\n");
        free_image(out);
@@ -787,10 +789,11 @@
    //test_vince();
    //test_full();
    //train_VOC();
    //features_VOC_image(argv[1], argv[2], argv[3]);
    features_VOC_image(argv[1], argv[2], argv[3], 0);
    features_VOC_image(argv[1], argv[2], argv[3], 1);
    //features_VOC_image_size(argv[1], atoi(argv[2]), atoi(argv[3]));
    //visualize_imagenet_features("data/assira/train.list");
    visualize_imagenet_topk("data/VOC2012.list");
    //visualize_imagenet_topk("data/VOC2012.list");
    //visualize_cat();
    //flip_network();
    //test_visualize();