YOLO添加中文标签

https://blog.csdn.net/xueruixuan/article/details/78840846

https://blog.csdn.net/hrsstudy/article/details/61671886

https://github.com/PaulChongPeng/darknet/commit/798fe7cc4176d452a83d63eb261d6129e397a521

在目录:dell@cvserver:/data/ld/darknet/data/labels$ 下

1、修改data/labels/make_labels.py

# -*- coding: utf-8 -*-   

import os
#l=[]

#with open("coco.names") as list_in:

#    for line in list_in:

#        l.append(line)

l=["","","","","","","","","","","","","","","","","","","","","","","","","","","","","","",""]

def make_labels(s):
    i = 0
    for word in l:
        os.system("convert -fill black -background white -bordercolor white -border 4  -font /data/ld/darknet/data/labels/华文细黑.ttf -pointsize %d label:\"%s\" \"byd_%d_%d.png\""%(s,word,i,s/12-1))
        i = i + 1


for i in [12,24,36,48,60,72,84,96]:
    make_labels(i)

2、执行 python make_labels.py---成功生成31个中文类别8种规格的label

字体自己去下载(华文细黑):http://www.zitixiazai.org/huawenzitixiazai/2292.html

 

 

3、修改image.c

#include "image.h"

#include "utils.h"

#include "blas.h"

#include "cuda.h"

#include <stdio.h>

#include <math.h>



#define STB_IMAGE_IMPLEMENTATION

#include "stb_image.h"

#define STB_IMAGE_WRITE_IMPLEMENTATION

#include "stb_image_write.h"



#ifdef OPENCV

#include "opencv2/highgui/highgui_c.h"

#include "opencv2/imgproc/imgproc_c.h"

#include "opencv2/videoio/videoio_c.h"

#define CHINESE

#endif





int windows = 0;



float colors[6][3] = { {1,0,1}, {0,0,1},{0,1,1},{0,1,0},{1,1,0},{1,0,0} };



float get_color(int c, int x, int max)

{

    float ratio = ((float)x/max)*5;

    int i = floor(ratio);

    int j = ceil(ratio);

    ratio -= i;

    float r = (1-ratio) * colors[i][c] + ratio*colors[j][c];

    //printf("%f\n", r);

    return r;

}



void composite_image(image source, image dest, int dx, int dy)

{

    int x,y,k;

    for(k = 0; k < source.c; ++k){

        for(y = 0; y < source.h; ++y){

            for(x = 0; x < source.w; ++x){

                float val = get_pixel(source, x, y, k);

                float val2 = get_pixel_extend(dest, dx+x, dy+y, k);

                set_pixel(dest, dx+x, dy+y, k, val * val2);

            }

        }

    }

}



image border_image(image a, int border)

{

    image b = make_image(a.w + 2*border, a.h + 2*border, a.c);

    int x,y,k;

    for(k = 0; k < b.c; ++k){

        for(y = 0; y < b.h; ++y){

            for(x = 0; x < b.w; ++x){

                float val = get_pixel_extend(a, x - border, y - border, k);

                if(x - border < 0 || x - border >= a.w || y - border < 0 || y - border >= a.h) val = 1;

                set_pixel(b, x, y, k, val);

            }

        }

    }

    return b;

}



image tile_images(image a, image b, int dx)

{

    if(a.w == 0) return copy_image(b);

    image c = make_image(a.w + b.w + dx, (a.h > b.h) ? a.h : b.h, (a.c > b.c) ? a.c : b.c);

    fill_cpu(c.w*c.h*c.c, 1, c.data, 1);

    embed_image(a, c, 0, 0); 

    composite_image(b, c, a.w + dx, 0);

    return c;

}



image get_label(image **characters, char *string, int size)

{

    if(size > 7) size = 7;

    image label = make_empty_image(0,0,0);

    while(*string){

        image l = characters[size][(int)*string];

        image n = tile_images(label, l, -size - 1 + (size+1)/2);

        free_image(label);

        label = n;

        ++string;

    }

    image b = border_image(label, label.h*.25);

    free_image(label);

    return b;

}



#ifdef CHINESE

image get_label_chinese(image **characters, int class, int size)

{

    if(size > 7) size = 7;

    image label = make_empty_image(0,0,0);



    image l = characters[size][class];

    image n = tile_images(label, l, -size - 1 + (size+1)/2);

    free_image(label);

    label = n;



    image b = border_image(label, label.h*.25);

    free_image(label);

    return b;

}

#endif



void draw_label(image a, int r, int c, image label, const float *rgb)

{

    int w = label.w;

    int h = label.h;

    if (r - h >= 0) r = r - h;



    int i, j, k;

    for(j = 0; j < h && j + r < a.h; ++j){

        for(i = 0; i < w && i + c < a.w; ++i){

            for(k = 0; k < label.c; ++k){

                float val = get_pixel(label, i, j, k);

                set_pixel(a, i+c, j+r, k, rgb[k] * val);

            }

        }

    }

}



void draw_box(image a, int x1, int y1, int x2, int y2, float r, float g, float b)

{

    //normalize_image(a);

    int i;

    if(x1 < 0) x1 = 0;

    if(x1 >= a.w) x1 = a.w-1;

    if(x2 < 0) x2 = 0;

    if(x2 >= a.w) x2 = a.w-1;



    if(y1 < 0) y1 = 0;

    if(y1 >= a.h) y1 = a.h-1;

    if(y2 < 0) y2 = 0;

    if(y2 >= a.h) y2 = a.h-1;



    for(i = x1; i <= x2; ++i){

        a.data[i + y1*a.w + 0*a.w*a.h] = r;

        a.data[i + y2*a.w + 0*a.w*a.h] = r;



        a.data[i + y1*a.w + 1*a.w*a.h] = g;

        a.data[i + y2*a.w + 1*a.w*a.h] = g;



        a.data[i + y1*a.w + 2*a.w*a.h] = b;

        a.data[i + y2*a.w + 2*a.w*a.h] = b;

    }

    for(i = y1; i <= y2; ++i){

        a.data[x1 + i*a.w + 0*a.w*a.h] = r;

        a.data[x2 + i*a.w + 0*a.w*a.h] = r;



        a.data[x1 + i*a.w + 1*a.w*a.h] = g;

        a.data[x2 + i*a.w + 1*a.w*a.h] = g;



        a.data[x1 + i*a.w + 2*a.w*a.h] = b;

        a.data[x2 + i*a.w + 2*a.w*a.h] = b;

    }

}



void draw_box_width(image a, int x1, int y1, int x2, int y2, int w, float r, float g, float b)

{

    int i;

    for(i = 0; i < w; ++i){

        draw_box(a, x1+i, y1+i, x2-i, y2-i, r, g, b);

    }

}



void draw_bbox(image a, box bbox, int w, float r, float g, float b)

{

    int left  = (bbox.x-bbox.w/2)*a.w;

    int right = (bbox.x+bbox.w/2)*a.w;

    int top   = (bbox.y-bbox.h/2)*a.h;

    int bot   = (bbox.y+bbox.h/2)*a.h;



    int i;

    for(i = 0; i < w; ++i){

        draw_box(a, left+i, top+i, right-i, bot-i, r, g, b);

    }

}



image **load_alphabet()

{

    int i, j;

    const int nsize = 8;

    image **alphabets = calloc(nsize, sizeof(image));

    for(j = 0; j < nsize; ++j){

        alphabets[j] = calloc(128, sizeof(image));

#ifdef CHINESE

        for(i = 0; i < 80; ++i){

            char buff[256];

            sprintf(buff, "data/labels/byd_%d_%d.png", i, j);

            alphabets[j][i] = load_image_color(buff, 0, 0);

        }

#else

        for(i = 32; i < 127; ++i){

            char buff[256];

            sprintf(buff, "data/labels/%d_%d.png", i, j);

            alphabets[j][i] = load_image_color(buff, 0, 0);

        }

#endif

    }

    return alphabets;

}



void draw_detections(image im, int num, float thresh, box *boxes, float **probs, char **names, image **alphabet, int classes)

{

    int i;



    for(i = 0; i < num; ++i){

        int class = max_index(probs[i], classes);

        float prob = probs[i][class];

        if(prob > thresh){



            int width = im.h * .012;



            if(0){

                width = pow(prob, 1./2.)*10+1;

                alphabet = 0;

            }



            printf("%s: %.0f%%\n", names[class], prob*100);

            int offset = class*123457 % classes;

            float red = get_color(2,offset,classes);

            float green = get_color(1,offset,classes);

            float blue = get_color(0,offset,classes);

            float rgb[3];



            //width = prob*20+2;



            rgb[0] = red;

            rgb[1] = green;

            rgb[2] = blue;

            box b = boxes[i];



            int left  = (b.x-b.w/2.)*im.w;

            int right = (b.x+b.w/2.)*im.w;

            int top   = (b.y-b.h/2.)*im.h;

            int bot   = (b.y+b.h/2.)*im.h;



            if(left < 0) left = 0;

            if(right > im.w-1) right = im.w-1;

            if(top < 0) top = 0;

            if(bot > im.h-1) bot = im.h-1;



            draw_box_width(im, left, top, right, bot, width, red, green, blue);

            if (alphabet) {

#ifdef CHINESE

                image label = get_label_chinese(alphabet, class, (im.h*.03)/10);

#else

                image label = get_label(alphabet, names[class], (im.h*.03)/10);

#endif

                draw_label(im, top + width, left, label, rgb);

            }

        }

    }

}



void transpose_image(image im)

{

    assert(im.w == im.h);

    int n, m;

    int c;

    for(c = 0; c < im.c; ++c){

        for(n = 0; n < im.w-1; ++n){

            for(m = n + 1; m < im.w; ++m){

                float swap = im.data[m + im.w*(n + im.h*c)];

                im.data[m + im.w*(n + im.h*c)] = im.data[n + im.w*(m + im.h*c)];

                im.data[n + im.w*(m + im.h*c)] = swap;

            }

        }

    }

}



void rotate_image_cw(image im, int times)

{

    assert(im.w == im.h);

    times = (times + 400) % 4;

    int i, x, y, c;

    int n = im.w;

    for(i = 0; i < times; ++i){

        for(c = 0; c < im.c; ++c){

            for(x = 0; x < n/2; ++x){

                for(y = 0; y < (n-1)/2 + 1; ++y){

                    float temp = im.data[y + im.w*(x + im.h*c)];

                    im.data[y + im.w*(x + im.h*c)] = im.data[n-1-x + im.w*(y + im.h*c)];

                    im.data[n-1-x + im.w*(y + im.h*c)] = im.data[n-1-y + im.w*(n-1-x + im.h*c)];

                    im.data[n-1-y + im.w*(n-1-x + im.h*c)] = im.data[x + im.w*(n-1-y + im.h*c)];

                    im.data[x + im.w*(n-1-y + im.h*c)] = temp;

                }

            }

        }

    }

}



void flip_image(image a)

{

    int i,j,k;

    for(k = 0; k < a.c; ++k){

        for(i = 0; i < a.h; ++i){

            for(j = 0; j < a.w/2; ++j){

                int index = j + a.w*(i + a.h*(k));

                int flip = (a.w - j - 1) + a.w*(i + a.h*(k));

                float swap = a.data[flip];

                a.data[flip] = a.data[index];

                a.data[index] = swap;

            }

        }

    }

}



image image_distance(image a, image b)

{

    int i,j;

    image dist = make_image(a.w, a.h, 1);

    for(i = 0; i < a.c; ++i){

        for(j = 0; j < a.h*a.w; ++j){

            dist.data[j] += pow(a.data[i*a.h*a.w+j]-b.data[i*a.h*a.w+j],2);

        }

    }

    for(j = 0; j < a.h*a.w; ++j){

        dist.data[j] = sqrt(dist.data[j]);

    }

    return dist;

}



void embed_image(image source, image dest, int dx, int dy)

{

    int x,y,k;

    for(k = 0; k < source.c; ++k){

        for(y = 0; y < source.h; ++y){

            for(x = 0; x < source.w; ++x){

                float val = get_pixel(source, x,y,k);

                set_pixel(dest, dx+x, dy+y, k, val);

            }

        }

    }

}



image collapse_image_layers(image source, int border)

{

    int h = source.h;

    h = (h+border)*source.c - border;

    image dest = make_image(source.w, h, 1);

    int i;

    for(i = 0; i < source.c; ++i){

        image layer = get_image_layer(source, i);

        int h_offset = i*(source.h+border);

        embed_image(layer, dest, 0, h_offset);

        free_image(layer);

    }

    return dest;

}



void constrain_image(image im)

{

    int i;

    for(i = 0; i < im.w*im.h*im.c; ++i){

        if(im.data[i] < 0) im.data[i] = 0;

        if(im.data[i] > 1) im.data[i] = 1;

    }

}



void normalize_image(image p)

{

    int i;

    float min = 9999999;

    float max = -999999;



    for(i = 0; i < p.h*p.w*p.c; ++i){

        float v = p.data[i];

        if(v < min) min = v;

        if(v > max) max = v;

    }

    if(max - min < .000000001){

        min = 0;

        max = 1;

    }

    for(i = 0; i < p.c*p.w*p.h; ++i){

        p.data[i] = (p.data[i] - min)/(max-min);

    }

}



void normalize_image2(image p)

{

    float *min = calloc(p.c, sizeof(float));

    float *max = calloc(p.c, sizeof(float));

    int i,j;

    for(i = 0; i < p.c; ++i) min[i] = max[i] = p.data[i*p.h*p.w];



    for(j = 0; j < p.c; ++j){

        for(i = 0; i < p.h*p.w; ++i){

            float v = p.data[i+j*p.h*p.w];

            if(v < min[j]) min[j] = v;

            if(v > max[j]) max[j] = v;

        }

    }

    for(i = 0; i < p.c; ++i){

        if(max[i] - min[i] < .000000001){

            min[i] = 0;

            max[i] = 1;

        }

    }

    for(j = 0; j < p.c; ++j){

        for(i = 0; i < p.w*p.h; ++i){

            p.data[i+j*p.h*p.w] = (p.data[i+j*p.h*p.w] - min[j])/(max[j]-min[j]);

        }

    }

    free(min);

    free(max);

}



image copy_image(image p)

{

    image copy = p;

    copy.data = calloc(p.h*p.w*p.c, sizeof(float));

    memcpy(copy.data, p.data, p.h*p.w*p.c*sizeof(float));

    return copy;

}



void rgbgr_image(image im)

{

    int i;

    for(i = 0; i < im.w*im.h; ++i){

        float swap = im.data[i];

        im.data[i] = im.data[i+im.w*im.h*2];

        im.data[i+im.w*im.h*2] = swap;

    }

}



#ifdef OPENCV

void show_image_cv(image p, const char *name)

{

    int x,y,k;

    image copy = copy_image(p);

    constrain_image(copy);

    if(p.c == 3) rgbgr_image(copy);

    //normalize_image(copy);



    char buff[256];

    //sprintf(buff, "%s (%d)", name, windows);

    sprintf(buff, "%s", name);



    IplImage *disp = cvCreateImage(cvSize(p.w,p.h), IPL_DEPTH_8U, p.c);

    int step = disp->widthStep;

    cvNamedWindow(buff, CV_WINDOW_NORMAL); 

    //cvMoveWindow(buff, 100*(windows%10) + 200*(windows/10), 100*(windows%10));

    ++windows;

    for(y = 0; y < p.h; ++y){

        for(x = 0; x < p.w; ++x){

            for(k= 0; k < p.c; ++k){

                disp->imageData[y*step + x*p.c + k] = (unsigned char)(get_pixel(copy,x,y,k)*255);

            }

        }

    }

    free_image(copy);

    if(0){

        int w = 448;

        int h = w*p.h/p.w;

        if(h > 1000){

            h = 1000;

            w = h*p.w/p.h;

        }

        IplImage *buffer = disp;

        disp = cvCreateImage(cvSize(w, h), buffer->depth, buffer->nChannels);

        cvResize(buffer, disp, CV_INTER_LINEAR);

        cvReleaseImage(&buffer);

    }

    cvShowImage(buff, disp);

    cvReleaseImage(&disp);

}

#endif



void show_image(image p, const char *name)

{

#ifdef OPENCV

    show_image_cv(p, name);

#else

    fprintf(stderr, "Not compiled with OpenCV, saving to %s.png instead\n", name);

    save_image(p, name);

#endif

}



#ifdef OPENCV



image ipl_to_image(IplImage* src)

{

    unsigned char *data = (unsigned char *)src->imageData;

    int h = src->height;

    int w = src->width;

    int c = src->nChannels;

    int step = src->widthStep;

    image out = make_image(w, h, c);

    int i, j, k, count=0;;



    for(k= 0; k < c; ++k){

        for(i = 0; i < h; ++i){

            for(j = 0; j < w; ++j){

                out.data[count++] = data[i*step + j*c + k]/255.;

            }

        }

    }

    return out;

}



image load_image_cv(char *filename, int channels)

{

    IplImage* src = 0;

    int flag = -1;

    if (channels == 0) flag = -1;

    else if (channels == 1) flag = 0;

    else if (channels == 3) flag = 1;

    else {

        fprintf(stderr, "OpenCV can't force load with %d channels\n", channels);

    }



    if( (src = cvLoadImage(filename, flag)) == 0 )

    {

        fprintf(stderr, "Cannot load image \"%s\"\n", filename);

        char buff[256];

        sprintf(buff, "echo %s >> bad.list", filename);

        system(buff);

        return make_image(10,10,3);

        //exit(0);

    }

    image out = ipl_to_image(src);

    cvReleaseImage(&src);

    rgbgr_image(out);

    return out;

}



image get_image_from_stream(CvCapture *cap)

{

    IplImage* src = cvQueryFrame(cap);

    if (!src) return make_empty_image(0,0,0);

    image im = ipl_to_image(src);

    rgbgr_image(im);

    return im;

}



void save_image_jpg(image p, const char *name)

{

    image copy = copy_image(p);

    if(p.c == 3) rgbgr_image(copy);

    int x,y,k;



    char buff[256];

    sprintf(buff, "%s.jpg", name);



    IplImage *disp = cvCreateImage(cvSize(p.w,p.h), IPL_DEPTH_8U, p.c);

    int step = disp->widthStep;

    for(y = 0; y < p.h; ++y){

        for(x = 0; x < p.w; ++x){

            for(k= 0; k < p.c; ++k){

                disp->imageData[y*step + x*p.c + k] = (unsigned char)(get_pixel(copy,x,y,k)*255);

            }

        }

    }

    cvSaveImage(buff, disp,0);

    cvReleaseImage(&disp);

    free_image(copy);

}





void save_video(image p, CvVideoWriter *mVideoWriter)

{

    image copy = copy_image(p);

    if(p.c == 3) rgbgr_image(copy);

    int x,y,k;



    IplImage *disp = cvCreateImage(cvSize(p.w,p.h), IPL_DEPTH_8U, p.c);

    int step = disp->widthStep;

    for(y = 0; y < p.h; ++y){

        for(x = 0; x < p.w; ++x){

            for(k= 0; k < p.c; ++k){

                disp->imageData[y*step + x*p.c + k] = (unsigned char)(get_pixel(copy,x,y,k)*255);

            }

        }

    }

    cvWriteFrame(mVideoWriter,disp);

    cvReleaseImage(&disp);

    free_image(copy);

}

#endif



void save_image_png(image im, const char *name)

{

    char buff[256];

    //sprintf(buff, "%s (%d)", name, windows);

    sprintf(buff, "%s.png", name);

    unsigned char *data = calloc(im.w*im.h*im.c, sizeof(char));

    int i,k;

    for(k = 0; k < im.c; ++k){

        for(i = 0; i < im.w*im.h; ++i){

            data[i*im.c+k] = (unsigned char) (255*im.data[i + k*im.w*im.h]);

        }

    }

    int success = stbi_write_png(buff, im.w, im.h, im.c, data, im.w*im.c);

    free(data);

    if(!success) fprintf(stderr, "Failed to write image %s\n", buff);

}



void save_image(image im, const char *name)

{

#ifdef OPENCV

    save_image_jpg(im, name);

#else

    save_image_png(im, name);

#endif

}





void show_image_layers(image p, char *name)

{

    int i;

    char buff[256];

    for(i = 0; i < p.c; ++i){

        sprintf(buff, "%s - Layer %d", name, i);

        image layer = get_image_layer(p, i);

        show_image(layer, buff);

        free_image(layer);

    }

}



void show_image_collapsed(image p, char *name)

{

    image c = collapse_image_layers(p, 1);

    show_image(c, name);

    free_image(c);

}



image make_empty_image(int w, int h, int c)

{

    image out;

    out.data = 0;

    out.h = h;

    out.w = w;

    out.c = c;

    return out;

}



image make_image(int w, int h, int c)

{

    image out = make_empty_image(w,h,c);

    out.data = calloc(h*w*c, sizeof(float));

    return out;

}



image make_random_image(int w, int h, int c)

{

    image out = make_empty_image(w,h,c);

    out.data = calloc(h*w*c, sizeof(float));

    int i;

    for(i = 0; i < w*h*c; ++i){

        out.data[i] = (rand_normal() * .25) + .5;

    }

    return out;

}



image float_to_image(int w, int h, int c, float *data)

{

    image out = make_empty_image(w,h,c);

    out.data = data;

    return out;

}





image rotate_crop_image(image im, float rad, float s, int w, int h, float dx, float dy, float aspect)

{

    int x, y, c;

    float cx = im.w/2.;

    float cy = im.h/2.;

    image rot = make_image(w, h, im.c);

    for(c = 0; c < im.c; ++c){

        for(y = 0; y < h; ++y){

            for(x = 0; x < w; ++x){

                float rx = cos(rad)*((x - w/2.)/s*aspect + dx/s*aspect) - sin(rad)*((y - h/2.)/s + dy/s) + cx;

                float ry = sin(rad)*((x - w/2.)/s*aspect + dx/s*aspect) + cos(rad)*((y - h/2.)/s + dy/s) + cy;

                float val = bilinear_interpolate(im, rx, ry, c);

                set_pixel(rot, x, y, c, val);

            }

        }

    }

    return rot;

}



image rotate_image(image im, float rad)

{

    int x, y, c;

    float cx = im.w/2.;

    float cy = im.h/2.;

    image rot = make_image(im.w, im.h, im.c);

    for(c = 0; c < im.c; ++c){

        for(y = 0; y < im.h; ++y){

            for(x = 0; x < im.w; ++x){

                float rx = cos(rad)*(x-cx) - sin(rad)*(y-cy) + cx;

                float ry = sin(rad)*(x-cx) + cos(rad)*(y-cy) + cy;

                float val = bilinear_interpolate(im, rx, ry, c);

                set_pixel(rot, x, y, c, val);

            }

        }

    }

    return rot;

}



void translate_image(image m, float s)

{

    int i;

    for(i = 0; i < m.h*m.w*m.c; ++i) m.data[i] += s;

}



void scale_image(image m, float s)

{

    int i;

    for(i = 0; i < m.h*m.w*m.c; ++i) m.data[i] *= s;

}



image crop_image(image im, int dx, int dy, int w, int h)

{

    image cropped = make_image(w, h, im.c);

    int i, j, k;

    for(k = 0; k < im.c; ++k){

        for(j = 0; j < h; ++j){

            for(i = 0; i < w; ++i){

                int r = j + dy;

                int c = i + dx;

                float val = 0;

                r = constrain_int(r, 0, im.h-1);

                c = constrain_int(c, 0, im.w-1);

                if (r >= 0 && r < im.h && c >= 0 && c < im.w) {

                    val = get_pixel(im, c, r, k);

                }

                set_pixel(cropped, i, j, k, val);

            }

        }

    }

    return cropped;

}



int best_3d_shift_r(image a, image b, int min, int max)

{

    if(min == max) return min;

    int mid = floor((min + max) / 2.);

    image c1 = crop_image(b, 0, mid, b.w, b.h);

    image c2 = crop_image(b, 0, mid+1, b.w, b.h);

    float d1 = dist_array(c1.data, a.data, a.w*a.h*a.c, 10);

    float d2 = dist_array(c2.data, a.data, a.w*a.h*a.c, 10);

    free_image(c1);

    free_image(c2);

    if(d1 < d2) return best_3d_shift_r(a, b, min, mid);

    else return best_3d_shift_r(a, b, mid+1, max);

}



int best_3d_shift(image a, image b, int min, int max)

{

    int i;

    int best = 0;

    float best_distance = FLT_MAX;

    for(i = min; i <= max; i += 2){

        image c = crop_image(b, 0, i, b.w, b.h);

        float d = dist_array(c.data, a.data, a.w*a.h*a.c, 100);

        if(d < best_distance){

            best_distance = d;

            best = i;

        }

        printf("%d %f\n", i, d);

        free_image(c);

    }

    return best;

}



void composite_3d(char *f1, char *f2, char *out, int delta)

{

    if(!out) out = "out";

    image a = load_image(f1, 0,0,0);

    image b = load_image(f2, 0,0,0);

    int shift = best_3d_shift_r(a, b, -a.h/100, a.h/100);



    image c1 = crop_image(b, 10, shift, b.w, b.h);

    float d1 = dist_array(c1.data, a.data, a.w*a.h*a.c, 100);

    image c2 = crop_image(b, -10, shift, b.w, b.h);

    float d2 = dist_array(c2.data, a.data, a.w*a.h*a.c, 100);



    if(d2 < d1 && 0){

        image swap = a;

        a = b;

        b = swap;

        shift = -shift;

        printf("swapped, %d\n", shift);

    }

    else{

        printf("%d\n", shift);

    }



    image c = crop_image(b, delta, shift, a.w, a.h);

    int i;

    for(i = 0; i < c.w*c.h; ++i){

        c.data[i] = a.data[i];

    }

#ifdef OPENCV

    save_image_jpg(c, out);

#else

    save_image(c, out);

#endif

}



image resize_max(image im, int max)

{

    int w = im.w;

    int h = im.h;

    if(w > h){

        h = (h * max) / w;

        w = max;

    } else {

        w = (w * max) / h;

        h = max;

    }

    if(w == im.w && h == im.h) return im;

    image resized = resize_image(im, w, h);

    return resized;

}



image resize_min(image im, int min)

{

    int w = im.w;

    int h = im.h;

    if(w < h){

        h = (h * min) / w;

        w = min;

    } else {

        w = (w * min) / h;

        h = min;

    }

    if(w == im.w && h == im.h) return im;

    image resized = resize_image(im, w, h);

    return resized;

}



image random_crop_image(image im, int w, int h)

{

    int dx = rand_int(0, im.w - w);

    int dy = rand_int(0, im.h - h);

    image crop = crop_image(im, dx, dy, w, h);

    return crop;

}



image random_augment_image(image im, float angle, float aspect, int low, int high, int size)

{

    aspect = rand_scale(aspect);

    int r = rand_int(low, high);

    int min = (im.h < im.w*aspect) ? im.h : im.w*aspect;

    float scale = (float)r / min;



    float rad = rand_uniform(-angle, angle) * TWO_PI / 360.;



    float dx = (im.w*scale/aspect - size) / 2.;

    float dy = (im.h*scale - size) / 2.;

    if(dx < 0) dx = 0;

    if(dy < 0) dy = 0;

    dx = rand_uniform(-dx, dx);

    dy = rand_uniform(-dy, dy);



    image crop = rotate_crop_image(im, rad, scale, size, size, dx, dy, aspect);



    return crop;

}



float three_way_max(float a, float b, float c)

{

    return (a > b) ? ( (a > c) ? a : c) : ( (b > c) ? b : c) ;

}



float three_way_min(float a, float b, float c)

{

    return (a < b) ? ( (a < c) ? a : c) : ( (b < c) ? b : c) ;

}



// http://www.cs.rit.edu/~ncs/color/t_convert.html

void rgb_to_hsv(image im)

{

    assert(im.c == 3);

    int i, j;

    float r, g, b;

    float h, s, v;

    for(j = 0; j < im.h; ++j){

        for(i = 0; i < im.w; ++i){

            r = get_pixel(im, i , j, 0);

            g = get_pixel(im, i , j, 1);

            b = get_pixel(im, i , j, 2);

            float max = three_way_max(r,g,b);

            float min = three_way_min(r,g,b);

            float delta = max - min;

            v = max;

            if(max == 0){

                s = 0;

                h = 0;

            }else{

                s = delta/max;

                if(r == max){

                    h = (g - b) / delta;

                } else if (g == max) {

                    h = 2 + (b - r) / delta;

                } else {

                    h = 4 + (r - g) / delta;

                }

                if (h < 0) h += 6;

                h = h/6.;

            }

            set_pixel(im, i, j, 0, h);

            set_pixel(im, i, j, 1, s);

            set_pixel(im, i, j, 2, v);

        }

    }

}



void hsv_to_rgb(image im)

{

    assert(im.c == 3);

    int i, j;

    float r, g, b;

    float h, s, v;

    float f, p, q, t;

    for(j = 0; j < im.h; ++j){

        for(i = 0; i < im.w; ++i){

            h = 6 * get_pixel(im, i , j, 0);

            s = get_pixel(im, i , j, 1);

            v = get_pixel(im, i , j, 2);

            if (s == 0) {

                r = g = b = v;

            } else {

                int index = floor(h);

                f = h - index;

                p = v*(1-s);

                q = v*(1-s*f);

                t = v*(1-s*(1-f));

                if(index == 0){

                    r = v; g = t; b = p;

                } else if(index == 1){

                    r = q; g = v; b = p;

                } else if(index == 2){

                    r = p; g = v; b = t;

                } else if(index == 3){

                    r = p; g = q; b = v;

                } else if(index == 4){

                    r = t; g = p; b = v;

                } else {

                    r = v; g = p; b = q;

                }

            }

            set_pixel(im, i, j, 0, r);

            set_pixel(im, i, j, 1, g);

            set_pixel(im, i, j, 2, b);

        }

    }

}



image grayscale_image(image im)

{

    assert(im.c == 3);

    int i, j, k;

    image gray = make_image(im.w, im.h, 1);

    float scale[] = {0.587, 0.299, 0.114};

    for(k = 0; k < im.c; ++k){

        for(j = 0; j < im.h; ++j){

            for(i = 0; i < im.w; ++i){

                gray.data[i+im.w*j] += scale[k]*get_pixel(im, i, j, k);

            }

        }

    }

    return gray;

}



image threshold_image(image im, float thresh)

{

    int i;

    image t = make_image(im.w, im.h, im.c);

    for(i = 0; i < im.w*im.h*im.c; ++i){

        t.data[i] = im.data[i]>thresh ? 1 : 0;

    }

    return t;

}



image blend_image(image fore, image back, float alpha)

{

    assert(fore.w == back.w && fore.h == back.h && fore.c == back.c);

    image blend = make_image(fore.w, fore.h, fore.c);

    int i, j, k;

    for(k = 0; k < fore.c; ++k){

        for(j = 0; j < fore.h; ++j){

            for(i = 0; i < fore.w; ++i){

                float val = alpha * get_pixel(fore, i, j, k) + 

                    (1 - alpha)* get_pixel(back, i, j, k);

                set_pixel(blend, i, j, k, val);

            }

        }

    }

    return blend;

}



void scale_image_channel(image im, int c, float v)

{

    int i, j;

    for(j = 0; j < im.h; ++j){

        for(i = 0; i < im.w; ++i){

            float pix = get_pixel(im, i, j, c);

            pix = pix*v;

            set_pixel(im, i, j, c, pix);

        }

    }

}



void translate_image_channel(image im, int c, float v)

{

    int i, j;

    for(j = 0; j < im.h; ++j){

        for(i = 0; i < im.w; ++i){

            float pix = get_pixel(im, i, j, c);

            pix = pix+v;

            set_pixel(im, i, j, c, pix);

        }

    }

}



image binarize_image(image im)

{

    image c = copy_image(im);

    int i;

    for(i = 0; i < im.w * im.h * im.c; ++i){

        if(c.data[i] > .5) c.data[i] = 1;

        else c.data[i] = 0;

    }

    return c;

}



void saturate_image(image im, float sat)

{

    rgb_to_hsv(im);

    scale_image_channel(im, 1, sat);

    hsv_to_rgb(im);

    constrain_image(im);

}



void hue_image(image im, float hue)

{

    rgb_to_hsv(im);

    int i;

    for(i = 0; i < im.w*im.h; ++i){

        im.data[i] = im.data[i] + hue;

        if (im.data[i] > 1) im.data[i] -= 1;

        if (im.data[i] < 0) im.data[i] += 1;

    }

    hsv_to_rgb(im);

    constrain_image(im);

}



void exposure_image(image im, float sat)

{

    rgb_to_hsv(im);

    scale_image_channel(im, 2, sat);

    hsv_to_rgb(im);

    constrain_image(im);

}



void distort_image(image im, float hue, float sat, float val)

{

    rgb_to_hsv(im);

    scale_image_channel(im, 1, sat);

    scale_image_channel(im, 2, val);

    int i;

    for(i = 0; i < im.w*im.h; ++i){

        im.data[i] = im.data[i] + hue;

        if (im.data[i] > 1) im.data[i] -= 1;

        if (im.data[i] < 0) im.data[i] += 1;

    }

    hsv_to_rgb(im);

    constrain_image(im);

}



void random_distort_image(image im, float hue, float saturation, float exposure)

{

    float dhue = rand_uniform(-hue, hue);

    float dsat = rand_scale(saturation);

    float dexp = rand_scale(exposure);

    distort_image(im, dhue, dsat, dexp);

}



void saturate_exposure_image(image im, float sat, float exposure)

{

    rgb_to_hsv(im);

    scale_image_channel(im, 1, sat);

    scale_image_channel(im, 2, exposure);

    hsv_to_rgb(im);

    constrain_image(im);

}



float bilinear_interpolate(image im, float x, float y, int c)

{

    int ix = (int) floorf(x);

    int iy = (int) floorf(y);



    float dx = x - ix;

    float dy = y - iy;



    float val = (1-dy) * (1-dx) * get_pixel_extend(im, ix, iy, c) + 

        dy     * (1-dx) * get_pixel_extend(im, ix, iy+1, c) + 

        (1-dy) *   dx   * get_pixel_extend(im, ix+1, iy, c) +

        dy     *   dx   * get_pixel_extend(im, ix+1, iy+1, c);

    return val;

}



image resize_image(image im, int w, int h)

{

    image resized = make_image(w, h, im.c);   

    image part = make_image(w, im.h, im.c);

    int r, c, k;

    float w_scale = (float)(im.w - 1) / (w - 1);

    float h_scale = (float)(im.h - 1) / (h - 1);

    for(k = 0; k < im.c; ++k){

        for(r = 0; r < im.h; ++r){

            for(c = 0; c < w; ++c){

                float val = 0;

                if(c == w-1 || im.w == 1){

                    val = get_pixel(im, im.w-1, r, k);

                } else {

                    float sx = c*w_scale;

                    int ix = (int) sx;

                    float dx = sx - ix;

                    val = (1 - dx) * get_pixel(im, ix, r, k) + dx * get_pixel(im, ix+1, r, k);

                }

                set_pixel(part, c, r, k, val);

            }

        }

    }

    for(k = 0; k < im.c; ++k){

        for(r = 0; r < h; ++r){

            float sy = r*h_scale;

            int iy = (int) sy;

            float dy = sy - iy;

            for(c = 0; c < w; ++c){

                float val = (1-dy) * get_pixel(part, c, iy, k);

                set_pixel(resized, c, r, k, val);

            }

            if(r == h-1 || im.h == 1) continue;

            for(c = 0; c < w; ++c){

                float val = dy * get_pixel(part, c, iy+1, k);

                add_pixel(resized, c, r, k, val);

            }

        }

    }



    free_image(part);

    return resized;

}





void test_resize(char *filename)

{

    image im = load_image(filename, 0,0, 3);

    float mag = mag_array(im.data, im.w*im.h*im.c);

    printf("L2 Norm: %f\n", mag);

    image gray = grayscale_image(im);



    image c1 = copy_image(im);

    image c2 = copy_image(im);

    image c3 = copy_image(im);

    image c4 = copy_image(im);

    distort_image(c1, .1, 1.5, 1.5);

    distort_image(c2, -.1, .66666, .66666);

    distort_image(c3, .1, 1.5, .66666);

    distort_image(c4, .1, .66666, 1.5);





    show_image(im,   "Original");

    show_image(gray, "Gray");

    show_image(c1, "C1");

    show_image(c2, "C2");

    show_image(c3, "C3");

    show_image(c4, "C4");

#ifdef OPENCV

    while(1){

        image aug = random_augment_image(im, 0, .75, 320, 448, 320);

        show_image(aug, "aug");

        free_image(aug);





        float exposure = 1.15;

        float saturation = 1.15;

        float hue = .05;



        image c = copy_image(im);



        float dexp = rand_scale(exposure);

        float dsat = rand_scale(saturation);

        float dhue = rand_uniform(-hue, hue);



        distort_image(c, dhue, dsat, dexp);

        show_image(c, "rand");

        printf("%f %f %f\n", dhue, dsat, dexp);

        free_image(c);

        cvWaitKey(0);

    }

#endif

}





image load_image_stb(char *filename, int channels)

{

    int w, h, c;

    unsigned char *data = stbi_load(filename, &w, &h, &c, channels);

    if (!data) {

        fprintf(stderr, "Cannot load image \"%s\"\nSTB Reason: %s\n", filename, stbi_failure_reason());

        exit(0);

    }

    if(channels) c = channels;

    int i,j,k;

    image im = make_image(w, h, c);

    for(k = 0; k < c; ++k){

        for(j = 0; j < h; ++j){

            for(i = 0; i < w; ++i){

                int dst_index = i + w*j + w*h*k;

                int src_index = k + c*i + c*w*j;

                im.data[dst_index] = (float)data[src_index]/255.;

            }

        }

    }

    free(data);

    return im;

}



image load_image(char *filename, int w, int h, int c)

{

#ifdef OPENCV

    image out = load_image_cv(filename, c);

#else

    image out = load_image_stb(filename, c);

#endif



    if((h && w) && (h != out.h || w != out.w)){

        image resized = resize_image(out, w, h);

        free_image(out);

        out = resized;

    }

    return out;

}



image load_image_color(char *filename, int w, int h)

{

    return load_image(filename, w, h, 3);

}



image get_image_layer(image m, int l)

{

    image out = make_image(m.w, m.h, 1);

    int i;

    for(i = 0; i < m.h*m.w; ++i){

        out.data[i] = m.data[i+l*m.h*m.w];

    }

    return out;

}



float get_pixel(image m, int x, int y, int c)

{

    assert(x < m.w && y < m.h && c < m.c);

    return m.data[c*m.h*m.w + y*m.w + x];

}

float get_pixel_extend(image m, int x, int y, int c)

{

    if(x < 0) x = 0;

    if(x >= m.w) x = m.w-1;

    if(y < 0) y = 0;

    if(y >= m.h) y = m.h-1;

    if(c < 0 || c >= m.c) return 0;

    return get_pixel(m, x, y, c);

}

void set_pixel(image m, int x, int y, int c, float val)

{

    if (x < 0 || y < 0 || c < 0 || x >= m.w || y >= m.h || c >= m.c) return;

    assert(x < m.w && y < m.h && c < m.c);

    m.data[c*m.h*m.w + y*m.w + x] = val;

}

void add_pixel(image m, int x, int y, int c, float val)

{

    assert(x < m.w && y < m.h && c < m.c);

    m.data[c*m.h*m.w + y*m.w + x] += val;

}



void print_image(image m)

{

    int i, j, k;

    for(i =0 ; i < m.c; ++i){

        for(j =0 ; j < m.h; ++j){

            for(k = 0; k < m.w; ++k){

                printf("%.2lf, ", m.data[i*m.h*m.w + j*m.w + k]);

                if(k > 30) break;

            }

            printf("\n");

            if(j > 30) break;

        }

        printf("\n");

    }

    printf("\n");

}



image collapse_images_vert(image *ims, int n)

{

    int color = 1;

    int border = 1;

    int h,w,c;

    w = ims[0].w;

    h = (ims[0].h + border) * n - border;

    c = ims[0].c;

    if(c != 3 || !color){

        w = (w+border)*c - border;

        c = 1;

    }



    image filters = make_image(w, h, c);

    int i,j;

    for(i = 0; i < n; ++i){

        int h_offset = i*(ims[0].h+border);

        image copy = copy_image(ims[i]);

        //normalize_image(copy);

        if(c == 3 && color){

            embed_image(copy, filters, 0, h_offset);

        }

        else{

            for(j = 0; j < copy.c; ++j){

                int w_offset = j*(ims[0].w+border);

                image layer = get_image_layer(copy, j);

                embed_image(layer, filters, w_offset, h_offset);

                free_image(layer);

            }

        }

        free_image(copy);

    }

    return filters;

} 



image collapse_images_horz(image *ims, int n)

{

    int color = 1;

    int border = 1;

    int h,w,c;

    int size = ims[0].h;

    h = size;

    w = (ims[0].w + border) * n - border;

    c = ims[0].c;

    if(c != 3 || !color){

        h = (h+border)*c - border;

        c = 1;

    }



    image filters = make_image(w, h, c);

    int i,j;

    for(i = 0; i < n; ++i){

        int w_offset = i*(size+border);

        image copy = copy_image(ims[i]);

        //normalize_image(copy);

        if(c == 3 && color){

            embed_image(copy, filters, w_offset, 0);

        }

        else{

            for(j = 0; j < copy.c; ++j){

                int h_offset = j*(size+border);

                image layer = get_image_layer(copy, j);

                embed_image(layer, filters, w_offset, h_offset);

                free_image(layer);

            }

        }

        free_image(copy);

    }

    return filters;

} 



void show_image_normalized(image im, const char *name)

{

    image c = copy_image(im);

    normalize_image(c);

    show_image(c, name);

    free_image(c);

}



void show_images(image *ims, int n, char *window)

{

    image m = collapse_images_vert(ims, n);

    /*

       int w = 448;

       int h = ((float)m.h/m.w) * 448;

       if(h > 896){

       h = 896;

       w = ((float)m.w/m.h) * 896;

       }

       image sized = resize_image(m, w, h);

     */

    normalize_image(m);

    save_image(m, window);

    show_image(m, window);

    free_image(m);

}



void free_image(image m)

{

    if(m.data){

        free(m.data);

    }

}

 

 

YOLO测试图片显示准确率值---   https://blog.csdn.net/syyyy712/article/details/86776828

posted @ 2019-04-05 15:21  大头swag  阅读(845)  评论(0)    收藏  举报