From 23c08be1442091e35697a790727330c4f4f8cd72 Mon Sep 17 00:00:00 2001
From: Joseph Redmon <pjreddie@gmail.com>
Date: Mon, 20 Jul 2015 22:11:01 +0000
Subject: [PATCH] scripts and stuff
---
src/detection.c | 12 +++--
scripts/voc_label.py | 56 ++++++++++++++++++++++++++++
cfg/yolo-small.cfg | 6 +-
scripts/imagenet_label.sh | 0
4 files changed, 66 insertions(+), 8 deletions(-)
diff --git a/cfg/yolo-small.cfg b/cfg/yolo-small.cfg
index a8f001a..c04dd15 100644
--- a/cfg/yolo-small.cfg
+++ b/cfg/yolo-small.cfg
@@ -199,6 +199,6 @@
classes=20
coords=4
rescore=1
-joint=1
-objectness = 0
-background=0
+joint=0
+objectness=1
+
diff --git a/scripts/label.sh b/scripts/imagenet_label.sh
similarity index 100%
rename from scripts/label.sh
rename to scripts/imagenet_label.sh
diff --git a/scripts/voc_label.py b/scripts/voc_label.py
new file mode 100644
index 0000000..d1e8823
--- /dev/null
+++ b/scripts/voc_label.py
@@ -0,0 +1,56 @@
+import xml.etree.ElementTree as ET
+import pickle
+import os
+from os import listdir, getcwd
+from os.path import join
+
+sets=[('2012', 'train'), ('2012', 'val'), ('2007', 'train'), ('2007', 'val'), ('2007', 'test')]
+
+classes = ["aeroplane", "bicycle", "bird", "boat", "bottle", "bus", "car", "cat", "chair", "cow", "diningtable", "dog", "horse", "motorbike", "person", "pottedplant", "sheep", "sofa", "train", "tvmonitor"]
+
+
+def convert(size, box):
+ dw = 1./size[0]
+ dh = 1./size[1]
+ x = (box[0] + box[1])/2.0
+ y = (box[2] + box[3])/2.0
+ w = box[1] - box[0]
+ h = box[3] - box[2]
+ x = x*dw
+ w = w*dw
+ y = y*dh
+ h = h*dh
+ return (x,y,w,h)
+
+def convert_annotation(year, image_id):
+ in_file = open('VOCdevkit/VOC%s/Annotations/%s.xml'%(year, image_id))
+ out_file = open('VOCdevkit/VOC%s/labels/%s.txt'%(year, image_id), 'w')
+ tree=ET.parse(in_file)
+ root = tree.getroot()
+ size = root.find('size')
+ w = int(size.find('width').text)
+ h = int(size.find('height').text)
+
+ for obj in root.iter('object'):
+ difficult = obj.find('difficult').text
+ cls = obj.find('name').text
+ if cls not in classes or int(difficult) == 1:
+ continue
+ cls_id = classes.index(cls)
+ xmlbox = obj.find('bndbox')
+ b = (float(xmlbox.find('xmin').text), float(xmlbox.find('xmax').text), float(xmlbox.find('ymin').text), float(xmlbox.find('ymax').text))
+ bb = convert((w,h), b)
+ out_file.write(str(cls_id) + " " + " ".join([str(a) for a in bb]) + '\n')
+
+wd = getcwd()
+
+for year, image_set in sets:
+ if not os.path.exists('VOCdevkit/VOC%s/labels/'%(year)):
+ os.makedirs('VOCdevkit/VOC%s/labels/'%(year))
+ image_ids = open('VOCdevkit/VOC%s/ImageSets/Main/%s.txt'%(year, image_set)).read().strip().split()
+ list_file = open('%s_%s.txt'%(year, image_set), 'w')
+ for image_id in image_ids:
+ list_file.write('%s/VOCdevkit/VOC%s/JPEGImages/%s.jpg\n'%(wd, year, image_id))
+ convert_annotation(year, image_id)
+ list_file.close()
+
diff --git a/src/detection.c b/src/detection.c
index b57f597..615ad6d 100644
--- a/src/detection.c
+++ b/src/detection.c
@@ -51,6 +51,8 @@
void train_detection(char *cfgfile, char *weightfile)
{
+ char *train_images = "/home/pjreddie/data/voc/test/train.txt";
+ char *backup_directory = "/home/pjreddie/backup/";
srand(time(0));
data_seed = time(0);
char *base = basecfg(cfgfile);
@@ -71,7 +73,7 @@
int side = sqrt(get_detection_layer_locations(layer));
char **paths;
- list *plist = get_paths("/home/pjreddie/data/voc/test/train.txt");
+ list *plist = get_paths(train_images);
int N = plist->size;
paths = (char **)list_to_array(plist);
@@ -96,26 +98,26 @@
fprintf(stderr, "Starting second stage...\n");
net.learning_rate *= 10;
char buff[256];
- sprintf(buff, "/home/pjreddie/imagenet_backup/%s_first_stage.weights", base);
+ sprintf(buff, "%s/%s_first_stage.weights", backup_directory, base);
save_weights(net, buff);
}
if((i-1)*imgs <= 80*N && i*imgs > N*80){
fprintf(stderr, "Second stage done.\n");
net.learning_rate *= .1;
char buff[256];
- sprintf(buff, "/home/pjreddie/imagenet_backup/%s_second_stage.weights", base);
+ sprintf(buff, "%s/%s_second_stage.weights", backup_directory, base);
save_weights(net, buff);
return;
}
if(i%1000==0){
char buff[256];
- sprintf(buff, "/home/pjreddie/imagenet_backup/%s_%d.weights",base, i);
+ sprintf(buff, "%s/%s_%d.weights", backup_directory, base, i);
save_weights(net, buff);
}
free_data(train);
}
char buff[256];
- sprintf(buff, "/home/pjreddie/imagenet_backup/%s_final.weights",base);
+ sprintf(buff, "%s/%s_final.weights", backup_directory, base);
save_weights(net, buff);
}
--
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