From fe4f01b1d8cce9762e47aaf42b6e17a3427a144b Mon Sep 17 00:00:00 2001
From: AlexeyAB <alexeyab84@gmail.com>
Date: Tue, 20 Mar 2018 19:10:46 +0000
Subject: [PATCH] Fixed uses of WebCam for OpenCV 3.x
---
src/data.c | 77 ++++++++++++++++++++++++--------------
1 files changed, 48 insertions(+), 29 deletions(-)
diff --git a/src/data.c b/src/data.c
index a2390a9..379756a 100644
--- a/src/data.c
+++ b/src/data.c
@@ -29,7 +29,7 @@
int i;
pthread_mutex_lock(&mutex);
for(i = 0; i < n; ++i){
- int index = rand()%m;
+ int index = random_gen()%m;
indexes[i] = index;
random_paths[i] = paths[index];
if(i == 0) printf("%s\n", paths[index]);
@@ -44,10 +44,12 @@
char **random_paths = calloc(n, sizeof(char*));
int i;
pthread_mutex_lock(&mutex);
- for(i = 0; i < n; ++i){
- int index = rand()%m;
+ //printf("n = %d \n", n);
+ for(i = 0; i < n; ++i){
+ int index = random_gen() % m;
random_paths[i] = paths[index];
//if(i == 0) printf("%s\n", paths[index]);
+ //printf("grp: %s\n", paths[index]);
}
pthread_mutex_unlock(&mutex);
return random_paths;
@@ -113,7 +115,7 @@
for(i = 0; i < n; ++i){
image im = load_image_color(paths[i], 0, 0);
image crop = random_augment_image(im, angle, aspect, min, max, size);
- int flip = rand()%2;
+ int flip = random_gen()%2;
if (flip) flip_image(crop);
random_distort_image(crop, hue, saturation, exposure);
@@ -161,7 +163,7 @@
int i;
for(i = 0; i < n; ++i){
box_label swap = b[i];
- int index = rand()%n;
+ int index = random_gen()%n;
b[i] = b[index];
b[index] = swap;
}
@@ -171,6 +173,13 @@
{
int i;
for(i = 0; i < n; ++i){
+ if(boxes[i].x == 0 && boxes[i].y == 0) {
+ boxes[i].x = 999999;
+ boxes[i].y = 999999;
+ boxes[i].w = 999999;
+ boxes[i].h = 999999;
+ continue;
+ }
boxes[i].left = boxes[i].left * sx - dx;
boxes[i].right = boxes[i].right * sx - dx;
boxes[i].top = boxes[i].top * sy - dy;
@@ -260,7 +269,7 @@
h = boxes[i].h;
id = boxes[i].id;
- if (w < .01 || h < .01) continue;
+ if (w < .001 || h < .001) continue;
int col = (int)(x*num_boxes);
int row = (int)(y*num_boxes);
@@ -283,24 +292,31 @@
free(boxes);
}
-void fill_truth_detection(char *path, int num_boxes, float *truth, int classes, int flip, float dx, float dy, float sx, float sy)
+void fill_truth_detection(char *path, int num_boxes, float *truth, int classes, int flip, float dx, float dy, float sx, float sy, int small_object)
{
char labelpath[4096];
find_replace(path, "images", "labels", labelpath);
find_replace(labelpath, "JPEGImages", "labels", labelpath);
+ find_replace(labelpath, "raw", "labels", labelpath);
find_replace(labelpath, ".jpg", ".txt", labelpath);
find_replace(labelpath, ".png", ".txt", labelpath);
find_replace(labelpath, ".JPG", ".txt", labelpath);
find_replace(labelpath, ".JPEG", ".txt", labelpath);
int count = 0;
+ int i;
box_label *boxes = read_boxes(labelpath, &count);
+ if (small_object == 1) {
+ for (i = 0; i < count; ++i) {
+ if (boxes[i].w < 0.01) boxes[i].w = 0.01;
+ if (boxes[i].h < 0.01) boxes[i].h = 0.01;
+ }
+ }
randomize_boxes(boxes, count);
correct_boxes(boxes, count, dx, dy, sx, sy, flip);
if(count > num_boxes) count = num_boxes;
float x,y,w,h;
int id;
- int i;
for (i = 0; i < count; ++i) {
x = boxes[i].x;
@@ -309,7 +325,8 @@
h = boxes[i].h;
id = boxes[i].id;
- if (w < .01 || h < .01) continue;
+ // not detect small objects
+ if ((w < 0.001 || h < 0.001)) continue;
truth[i*5+0] = x;
truth[i*5+1] = y;
@@ -514,7 +531,7 @@
float sx = (float)swidth / ow;
float sy = (float)sheight / oh;
- int flip = rand()%2;
+ int flip = random_gen()%2;
image cropped = crop_image(orig, pleft, ptop, swidth, sheight);
float dx = ((float)pleft/ow)/sx;
@@ -600,7 +617,7 @@
data load_data_swag(char **paths, int n, int classes, float jitter)
{
- int index = rand()%n;
+ int index = random_gen()%n;
char *random_path = paths[index];
image orig = load_image_color(random_path, 0, 0);
@@ -633,7 +650,7 @@
float sx = (float)swidth / w;
float sy = (float)sheight / h;
- int flip = rand()%2;
+ int flip = random_gen()%2;
image cropped = crop_image(orig, pleft, ptop, swidth, sheight);
float dx = ((float)pleft/w)/sx;
@@ -651,7 +668,7 @@
return d;
}
-data load_data_detection(int n, char **paths, int m, int w, int h, int boxes, int classes, float jitter, float hue, float saturation, float exposure)
+data load_data_detection(int n, char **paths, int m, int w, int h, int boxes, int classes, float jitter, float hue, float saturation, float exposure, int small_object)
{
char **random_paths = get_random_paths(paths, n, m);
int i;
@@ -672,10 +689,10 @@
int dw = (ow*jitter);
int dh = (oh*jitter);
- int pleft = rand_uniform(-dw, dw);
- int pright = rand_uniform(-dw, dw);
- int ptop = rand_uniform(-dh, dh);
- int pbot = rand_uniform(-dh, dh);
+ int pleft = rand_uniform_strong(-dw, dw);
+ int pright = rand_uniform_strong(-dw, dw);
+ int ptop = rand_uniform_strong(-dh, dh);
+ int pbot = rand_uniform_strong(-dh, dh);
int swidth = ow - pleft - pright;
int sheight = oh - ptop - pbot;
@@ -683,7 +700,7 @@
float sx = (float)swidth / ow;
float sy = (float)sheight / oh;
- int flip = rand()%2;
+ int flip = random_gen()%2;
image cropped = crop_image(orig, pleft, ptop, swidth, sheight);
float dx = ((float)pleft/ow)/sx;
@@ -694,7 +711,7 @@
random_distort_image(sized, hue, saturation, exposure);
d.X.vals[i] = sized.data;
- fill_truth_detection(random_paths[i], boxes, d.y.vals[i], classes, flip, dx, dy, 1./sx, 1./sy);
+ fill_truth_detection(random_paths[i], boxes, d.y.vals[i], classes, flip, dx, dy, 1./sx, 1./sy, small_object);
free_image(orig);
free_image(cropped);
@@ -706,7 +723,8 @@
void *load_thread(void *ptr)
{
- //printf("Loading data: %d\n", rand());
+ //srand(time(0));
+ //printf("Loading data: %d\n", random_gen());
load_args a = *(struct load_args*)ptr;
if(a.exposure == 0) a.exposure = 1;
if(a.saturation == 0) a.saturation = 1;
@@ -723,7 +741,7 @@
} else if (a.type == REGION_DATA){
*a.d = load_data_region(a.n, a.paths, a.m, a.w, a.h, a.num_boxes, a.classes, a.jitter, a.hue, a.saturation, a.exposure);
} else if (a.type == DETECTION_DATA){
- *a.d = load_data_detection(a.n, a.paths, a.m, a.w, a.h, a.num_boxes, a.classes, a.jitter, a.hue, a.saturation, a.exposure);
+ *a.d = load_data_detection(a.n, a.paths, a.m, a.w, a.h, a.num_boxes, a.classes, a.jitter, a.hue, a.saturation, a.exposure, a.small_object);
} else if (a.type == SWAG_DATA){
*a.d = load_data_swag(a.paths, a.n, a.classes, a.jitter);
} else if (a.type == COMPARE_DATA){
@@ -749,6 +767,7 @@
void *load_threads(void *ptr)
{
+ //srand(time(0));
int i;
load_args args = *(load_args *)ptr;
if (args.threads == 0) args.threads = 1;
@@ -843,7 +862,7 @@
for(i = 0; i < n; ++i){
image im = load_image_color(paths[i], 0, 0);
image crop = random_crop_image(im, w*scale, h*scale);
- int flip = rand()%2;
+ int flip = random_gen()%2;
if (flip) flip_image(crop);
image resize = resize_image(crop, w, h);
d.X.vals[i] = resize.data;
@@ -948,8 +967,8 @@
for(i = 0; i < 10000; ++i){
unsigned char bytes[3073];
fread(bytes, 1, 3073, fp);
- int class = bytes[0];
- y.vals[i][class] = 1;
+ int class_id = bytes[0];
+ y.vals[i][class_id] = 1;
for(j = 0; j < X.cols; ++j){
X.vals[i][j] = (double)bytes[j+1];
}
@@ -965,7 +984,7 @@
{
int j;
for(j = 0; j < n; ++j){
- int index = rand()%d.X.rows;
+ int index = random_gen()%d.X.rows;
memcpy(X+j*d.X.cols, d.X.vals[index], d.X.cols*sizeof(float));
memcpy(y+j*d.y.cols, d.y.vals[index], d.y.cols*sizeof(float));
}
@@ -1012,8 +1031,8 @@
for(i = 0; i < 10000; ++i){
unsigned char bytes[3073];
fread(bytes, 1, 3073, fp);
- int class = bytes[0];
- y.vals[i+b*10000][class] = 1;
+ int class_id = bytes[0];
+ y.vals[i+b*10000][class_id] = 1;
for(j = 0; j < X.cols; ++j){
X.vals[i+b*10000][j] = (double)bytes[j+1];
}
@@ -1078,7 +1097,7 @@
{
int i;
for(i = d.X.rows-1; i > 0; --i){
- int index = rand()%i;
+ int index = random_gen()%i;
float *swap = d.X.vals[index];
d.X.vals[index] = d.X.vals[i];
d.X.vals[i] = swap;
@@ -1142,7 +1161,7 @@
int i;
for(i = 0; i < num; ++i){
- int index = rand()%d.X.rows;
+ int index = random_gen()%d.X.rows;
r.X.vals[i] = d.X.vals[index];
r.y.vals[i] = d.y.vals[index];
}
--
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