From d0b9326a352ed2fbc3ae66fdef40b4533a2f211d Mon Sep 17 00:00:00 2001
From: Joseph Redmon <pjreddie@gmail.com>
Date: Tue, 11 Aug 2015 06:22:27 +0000
Subject: [PATCH] Hacks to get nightmare to not break gridsizing
---
src/coco.c | 45 ++++++++++++++++++++++++++++++---------------
1 files changed, 30 insertions(+), 15 deletions(-)
diff --git a/src/coco.c b/src/coco.c
index 3f74be7..ed53cef 100644
--- a/src/coco.c
+++ b/src/coco.c
@@ -1,3 +1,5 @@
+#include <stdio.h>
+
#include "network.h"
#include "detection_layer.h"
#include "cost_layer.h"
@@ -8,6 +10,8 @@
char *coco_classes[] = {"person","bicycle","car","motorcycle","airplane","bus","train","truck","boat","traffic light","fire hydrant","stop sign","parking meter","bench","bird","cat","dog","horse","sheep","cow","elephant","bear","zebra","giraffe","backpack","umbrella","handbag","tie","suitcase","frisbee","skis","snowboard","sports ball","kite","baseball bat","baseball glove","skateboard","surfboard","tennis racket","bottle","wine glass","cup","fork","knife","spoon","bowl","banana","apple","sandwich","orange","broccoli","carrot","hot dog","pizza","donut","cake","chair","couch","potted plant","bed","dining table","toilet","tv","laptop","mouse","remote","keyboard","cell phone","microwave","oven","toaster","sink","refrigerator","book","clock","vase","scissors","teddy bear","hair drier","toothbrush"};
+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, float *box, int side, int objectness, char *label)
{
int classes = 80;
@@ -144,7 +148,7 @@
}
}
-void print_cocos(FILE **fps, char *id, box *boxes, float **probs, int num_boxes, int classes, int w, int h)
+void print_cocos(FILE *fp, int image_id, box *boxes, float **probs, int num_boxes, int classes, int w, int h)
{
int i, j;
for(i = 0; i < num_boxes*num_boxes; ++i){
@@ -158,13 +162,23 @@
if (xmax > w) xmax = w;
if (ymax > h) ymax = h;
+ float bx = xmin;
+ float by = ymin;
+ float bw = xmax - xmin;
+ float bh = ymax - ymin;
+
for(j = 0; j < classes; ++j){
- if (probs[i][j]) fprintf(fps[j], "%s %f %f %f %f %f\n", id, probs[i][j],
- xmin, ymin, xmax, ymax);
+ if (probs[i][j]) fprintf(fp, "{\"image_id\":%d, \"category_id\":%d, \"bbox\":[%f, %f, %f, %f], \"score\":%f},\n", image_id, coco_ids[j], bx, by, bw, bh, probs[i][j]);
}
}
}
+int get_coco_image_id(char *filename)
+{
+ char *p = strrchr(filename, '_');
+ return atoi(p+1);
+}
+
void validate_coco(char *cfgfile, char *weightfile)
{
network net = parse_network_cfg(cfgfile);
@@ -176,8 +190,8 @@
fprintf(stderr, "Learning Rate: %g, Momentum: %g, Decay: %g\n", net.learning_rate, net.momentum, net.decay);
srand(time(0));
- char *base = "results/comp4_det_test_";
- list *plist = get_paths("data/voc.2012test.list");
+ char *base = "/home/pjreddie/backup/";
+ list *plist = get_paths("data/coco_val_5k.list");
char **paths = (char **)list_to_array(plist);
int classes = layer.classes;
@@ -186,12 +200,11 @@
int num_boxes = sqrt(get_detection_layer_locations(layer));
int j;
- FILE **fps = calloc(classes, sizeof(FILE *));
- for(j = 0; j < classes; ++j){
- char buff[1024];
- snprintf(buff, 1024, "%s%s.txt", base, coco_classes[j]);
- fps[j] = fopen(buff, "w");
- }
+ char buff[1024];
+ snprintf(buff, 1024, "%s/coco_results.json", base);
+ FILE *fp = fopen(buff, "w");
+ fprintf(fp, "[\n");
+
box *boxes = calloc(num_boxes*num_boxes, sizeof(box));
float **probs = calloc(num_boxes*num_boxes, sizeof(float *));
for(j = 0; j < num_boxes*num_boxes; ++j) probs[j] = calloc(classes, sizeof(float *));
@@ -200,7 +213,7 @@
int i=0;
int t;
- float thresh = .001;
+ float thresh = .01;
int nms = 1;
float iou_thresh = .5;
@@ -226,19 +239,21 @@
}
for(t = 0; t < nthreads && i+t-nthreads < m; ++t){
char *path = paths[i+t-nthreads];
- char *id = basecfg(path);
+ int image_id = get_coco_image_id(path);
float *X = val_resized[t].data;
float *predictions = network_predict(net, X);
int w = val[t].w;
int h = val[t].h;
convert_cocos(predictions, classes, objectness, background, num_boxes, w, h, thresh, probs, boxes);
if (nms) do_nms(boxes, probs, num_boxes, classes, iou_thresh);
- print_cocos(fps, id, boxes, probs, num_boxes, classes, w, h);
- free(id);
+ print_cocos(fp, image_id, boxes, probs, num_boxes, classes, w, h);
free_image(val[t]);
free_image(val_resized[t]);
}
}
+ fseek(fp, -2, SEEK_CUR);
+ fprintf(fp, "\n]\n");
+ fclose(fp);
fprintf(stderr, "Total Detection Time: %f Seconds\n", (double)(time(0) - start));
}
--
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