From a392bbd0c957a00e3782c96e7ced84a29ff9dd88 Mon Sep 17 00:00:00 2001
From: Joseph Redmon <pjreddie@gmail.com>
Date: Tue, 15 Mar 2016 05:33:02 +0000
Subject: [PATCH] Play along w/ alphago
---
src/coco.c | 52 ++++++++++++++++++++++++++--------------------------
1 files changed, 26 insertions(+), 26 deletions(-)
diff --git a/src/coco.c b/src/coco.c
index cef6ade..947bef2 100644
--- a/src/coco.c
+++ b/src/coco.c
@@ -15,35 +15,13 @@
int coco_ids[] = {1,2,3,4,5,6,7,8,9,10,11,13,14,15,16,17,18,19,20,21,22,23,24,25,27,28,31,32,33,34,35,36,37,38,39,40,41,42,43,44,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,67,70,72,73,74,75,76,77,78,79,80,81,82,84,85,86,87,88,89,90};
-void draw_coco(image im, int num, float thresh, box *boxes, float **probs)
-{
- int classes = 80;
- 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 = sqrt(prob)*5 + 1;
- printf("%f %s\n", prob, coco_classes[class]);
- float red = get_color(0,class,classes);
- float green = get_color(1,class,classes);
- float blue = get_color(2,class,classes);
- 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;
- draw_box_width(im, left, top, right, bot, width, red, green, blue);
- }
- }
-}
+image coco_labels[80];
void train_coco(char *cfgfile, char *weightfile)
{
//char *train_images = "/home/pjreddie/data/voc/test/train.txt";
- char *train_images = "/home/pjreddie/data/coco/train.txt";
+ //char *train_images = "/home/pjreddie/data/coco/train.txt";
+ char *train_images = "data/coco.trainval.txt";
char *backup_directory = "/home/pjreddie/backup/";
srand(time(0));
data_seed = time(0);
@@ -368,6 +346,7 @@
detection_layer l = net.layers[net.n-1];
set_batch_network(&net, 1);
srand(2222222);
+ float nms = .4;
clock_t time;
char buff[256];
char *input = buff;
@@ -392,7 +371,8 @@
float *predictions = network_predict(net, X);
printf("%s: Predicted in %f seconds.\n", input, sec(clock()-time));
convert_coco_detections(predictions, l.classes, l.n, l.sqrt, l.side, 1, 1, thresh, probs, boxes, 0);
- draw_coco(im, l.side*l.side*l.n, thresh, boxes, probs);
+ if (nms) do_nms_sort(boxes, probs, l.side*l.side*l.n, l.classes, nms);
+ draw_detections(im, l.side*l.side*l.n, thresh, boxes, probs, coco_classes, coco_labels, 80);
show_image(im, "predictions");
show_image(sized, "resized");
@@ -406,9 +386,28 @@
}
}
+void demo_coco(char *cfgfile, char *weightfile, float thresh, int cam_index, char *filename);
+static void demo(char *cfgfile, char *weightfile, float thresh, int cam_index, char* filename)
+{
+ #if defined(OPENCV)
+ demo_coco(cfgfile, weightfile, thresh, cam_index, filename);
+ #else
+ fprintf(stderr, "Need to compile with OpenCV for demo.\n");
+ #endif
+}
+
void run_coco(int argc, char **argv)
{
+ int i;
+ for(i = 0; i < 80; ++i){
+ char buff[256];
+ sprintf(buff, "data/labels/%s.png", coco_classes[i]);
+ coco_labels[i] = load_image_color(buff, 0, 0);
+ }
float thresh = find_float_arg(argc, argv, "-thresh", .2);
+ int cam_index = find_int_arg(argc, argv, "-c", 0);
+ char *file = find_char_arg(argc, argv, "-file", 0);
+
if(argc < 4){
fprintf(stderr, "usage: %s %s [train/test/valid] [cfg] [weights (optional)]\n", argv[0], argv[1]);
return;
@@ -421,4 +420,5 @@
else if(0==strcmp(argv[2], "train")) train_coco(cfg, weights);
else if(0==strcmp(argv[2], "valid")) validate_coco(cfg, weights);
else if(0==strcmp(argv[2], "recall")) validate_coco_recall(cfg, weights);
+ else if(0==strcmp(argv[2], "demo")) demo(cfg, weights, thresh, cam_index, file);
}
--
Gitblit v1.10.0