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gotta make a CVPR demo

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This commit is contained in:
Joseph Redmon 2017-07-21 19:33:49 -07:00
parent 0710531b66
commit 7a223d8591
3 changed files with 102 additions and 28 deletions
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10
examples/classifier.c
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@ -53,7 +53,7 @@ void train_classifier(char *datacfg, char *cfgfile, char *weightfile, int *gpus,
char **paths = (char **)list_to_array(plist);
printf("%d\n", plist->size);
int N = plist->size;
clock_t time;
double time;
load_args args = {0};
args.w = net.w;
@ -85,14 +85,14 @@ void train_classifier(char *datacfg, char *cfgfile, char *weightfile, int *gpus,
int epoch = (*net.seen)/N;
while(get_current_batch(net) < net.max_batches || net.max_batches == 0){
time=clock();
time = what_time_is_it_now();
pthread_join(load_thread, 0);
train = buffer;
load_thread = load_data(args);
printf("Loaded: %lf seconds\n", sec(clock()-time));
time=clock();
printf("Loaded: %lf seconds\n", what_time_is_it_now()-time);
time = what_time_is_it_now();
float loss = 0;
#ifdef GPU
@ -106,7 +106,7 @@ void train_classifier(char *datacfg, char *cfgfile, char *weightfile, int *gpus,
#endif
if(avg_loss == -1) avg_loss = loss;
avg_loss = avg_loss*.9 + loss*.1;
printf("%ld, %.3f: %f, %f avg, %f rate, %lf seconds, %ld images\n", get_current_batch(net), (float)(*net.seen)/N, loss, avg_loss, get_current_rate(net), sec(clock()-time), *net.seen);
printf("%ld, %.3f: %f, %f avg, %f rate, %lf seconds, %ld images\n", get_current_batch(net), (float)(*net.seen)/N, loss, avg_loss, get_current_rate(net), what_time_is_it_now()-time, *net.seen);
free_data(train);
if(*net.seen/N > epoch){
epoch = *net.seen/N;

2
examples/detector.c
View File

@ -503,7 +503,7 @@ void validate_detector_recall(char *cfgfile, char *weightfile)
fprintf(stderr, "Learning Rate: %g, Momentum: %g, Decay: %g\n", net.learning_rate, net.momentum, net.decay);
srand(time(0));
list *plist = get_paths("data/voc.2007.test");
list *plist = get_paths("data/coco_val_5k.list");
char **paths = (char **)list_to_array(plist);
layer l = net.layers[net.n-1];

118
src/demo.c
View File

@ -20,6 +20,10 @@ static int demo_classes;
static float **probs;
static box *boxes;
static network net;
static network net2;
static float **probs2;
static box *boxes2;
static float **predictions2;
static image buff [3];
static image buff_letter[3];
static int buff_index = 0;
@ -30,14 +34,11 @@ static float demo_thresh = 0;
static float demo_hier = .5;
static int running = 0;
static int demo_delay = 0;
static int demo_frame = 3;
static int demo_detections = 0;
static float **predictions;
static int demo_index = 0;
static int demo_done = 0;
static float *last_avg2;
static float *last_avg;
static float *avg;
double demo_time;
@ -61,8 +62,7 @@ void *detect_in_thread(void *ptr)
memcpy(predictions[demo_index], prediction, l.outputs*sizeof(float));
mean_arrays(predictions, demo_frame, l.outputs, avg);
l.output = last_avg2;
if(demo_delay == 0) l.output = avg;
l.output = avg;
if(l.type == DETECTION){
get_detection_boxes(l, 1, 1, demo_thresh, probs, boxes, 0);
} else if (l.type == REGION){
@ -97,12 +97,7 @@ void *display_in_thread(void *ptr)
show_image_cv(buff[(buff_index + 1)%3], "Demo", ipl);
int c = cvWaitKey(1);
if (c != -1) c = c%256;
if (c == 10){
if(demo_delay == 0) demo_delay = 60;
else if(demo_delay == 5) demo_delay = 0;
else if(demo_delay == 60) demo_delay = 5;
else demo_delay = 0;
} else if (c == 27) {
if (c == 27) {
demo_done = 1;
return 0;
} else if (c == 82) {
@ -135,7 +130,6 @@ void *detect_loop(void *ptr)
void demo(char *cfgfile, char *weightfile, float thresh, int cam_index, const char *filename, char **names, int classes, int delay, char *prefix, int avg_frames, float hier, int w, int h, int frames, int fullscreen)
{
demo_delay = delay;
demo_frame = avg_frames;
predictions = calloc(demo_frame, sizeof(float*));
image **alphabet = load_alphabet();
@ -179,8 +173,6 @@ void demo(char *cfgfile, char *weightfile, float thresh, int cam_index, const ch
int j;
avg = (float *) calloc(l.outputs, sizeof(float));
last_avg = (float *) calloc(l.outputs, sizeof(float));
last_avg2 = (float *) calloc(l.outputs, sizeof(float));
for(j = 0; j < demo_frame; ++j) predictions[j] = (float *) calloc(l.outputs, sizeof(float));
boxes = (box *)calloc(l.w*l.h*l.n, sizeof(box));
@ -213,14 +205,96 @@ void demo(char *cfgfile, char *weightfile, float thresh, int cam_index, const ch
if(pthread_create(&fetch_thread, 0, fetch_in_thread, 0)) error("Thread creation failed");
if(pthread_create(&detect_thread, 0, detect_in_thread, 0)) error("Thread creation failed");
if(!prefix){
if(count % (demo_delay+1) == 0){
fps = 1./(get_wall_time() - demo_time);
demo_time = get_wall_time();
float *swap = last_avg;
last_avg = last_avg2;
last_avg2 = swap;
memcpy(last_avg, avg, l.outputs*sizeof(float));
}
fps = 1./(get_wall_time() - demo_time);
demo_time = get_wall_time();
display_in_thread(0);
}else{
char name[256];
sprintf(name, "%s_%08d", prefix, count);
save_image(buff[(buff_index + 1)%3], name);
}
pthread_join(fetch_thread, 0);
pthread_join(detect_thread, 0);
++count;
}
}
void demo_compare(char *cfg1, char *weight1, char *cfg2, char *weight2, float thresh, int cam_index, const char *filename, char **names, int classes, int delay, char *prefix, int avg_frames, float hier, int w, int h, int frames, int fullscreen)
{
demo_frame = avg_frames;
predictions = calloc(demo_frame, sizeof(float*));
image **alphabet = load_alphabet();
demo_names = names;
demo_alphabet = alphabet;
demo_classes = classes;
demo_thresh = thresh;
demo_hier = hier;
printf("Demo\n");
net = load_network(cfg1, weight1, 0);
set_batch_network(&net, 1);
pthread_t detect_thread;
pthread_t fetch_thread;
srand(2222222);
if(filename){
printf("video file: %s\n", filename);
cap = cvCaptureFromFile(filename);
}else{
cap = cvCaptureFromCAM(cam_index);
if(w){
cvSetCaptureProperty(cap, CV_CAP_PROP_FRAME_WIDTH, w);
}
if(h){
cvSetCaptureProperty(cap, CV_CAP_PROP_FRAME_HEIGHT, h);
}
if(frames){
cvSetCaptureProperty(cap, CV_CAP_PROP_FPS, frames);
}
}
if(!cap) error("Couldn't connect to webcam.\n");
layer l = net.layers[net.n-1];
demo_detections = l.n*l.w*l.h;
int j;
avg = (float *) calloc(l.outputs, sizeof(float));
for(j = 0; j < demo_frame; ++j) predictions[j] = (float *) calloc(l.outputs, sizeof(float));
boxes = (box *)calloc(l.w*l.h*l.n, sizeof(box));
probs = (float **)calloc(l.w*l.h*l.n, sizeof(float *));
for(j = 0; j < l.w*l.h*l.n; ++j) probs[j] = (float *)calloc(l.classes+1, sizeof(float));
buff[0] = get_image_from_stream(cap);
buff[1] = copy_image(buff[0]);
buff[2] = copy_image(buff[0]);
buff_letter[0] = letterbox_image(buff[0], net.w, net.h);
buff_letter[1] = letterbox_image(buff[0], net.w, net.h);
buff_letter[2] = letterbox_image(buff[0], net.w, net.h);
ipl = cvCreateImage(cvSize(buff[0].w,buff[0].h), IPL_DEPTH_8U, buff[0].c);
int count = 0;
if(!prefix){
cvNamedWindow("Demo", CV_WINDOW_NORMAL);
if(fullscreen){
cvSetWindowProperty("Demo", CV_WND_PROP_FULLSCREEN, CV_WINDOW_FULLSCREEN);
} else {
cvMoveWindow("Demo", 0, 0);
cvResizeWindow("Demo", 1352, 1013);
}
}
demo_time = get_wall_time();
while(!demo_done){
buff_index = (buff_index + 1) %3;
if(pthread_create(&fetch_thread, 0, fetch_in_thread, 0)) error("Thread creation failed");
if(pthread_create(&detect_thread, 0, detect_in_thread, 0)) error("Thread creation failed");
if(!prefix){
fps = 1./(get_wall_time() - demo_time);
demo_time = get_wall_time();
display_in_thread(0);
}else{
char name[256];