scripts and stuff

Joseph Redmon

2015-07-20 23c08be1442091e35697a790727330c4f4f8cd72

scripts and stuff

 cfg/yolo-small.cfg

@@ -199,6 +199,6 @@
classes=20
coords=4
rescore=1
joint=1
objectness = 0
background=0
joint=0
objectness=1


 scripts/imagenet_label.sh

 scripts/voc_label.py

New file
@@ -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()


 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);
}