#!/bin/bash
# PASCAL VOC dataset http://host.robots.ox.ac.uk/pascal/VOC/
# Download command: bash data/scripts/get_voc.sh
# Train command: python train.py --data voc.yaml
# Default dataset location is next to YOLOv5:
#   /parent_folder
#     /VOC
#     /yolov5

start=$(date +%s)
mkdir -p ../tmp
cd ../tmp/

# Download/unzip images and labels
d='.' # unzip directory
url=https://github.com/ultralytics/yolov5/releases/download/v1.0/
f1=VOCtrainval_06-Nov-2007.zip # 446MB, 5012 images
f2=VOCtest_06-Nov-2007.zip     # 438MB, 4953 images
f3=VOCtrainval_11-May-2012.zip # 1.95GB, 17126 images
for f in $f3 $f2 $f1; do
  echo 'Downloading' $url$f '...' 
  curl -L $url$f -o $f && unzip -q $f -d $d && rm $f & # download, unzip, remove in background
done
wait # finish background tasks

end=$(date +%s)
runtime=$((end - start))
echo "Completed in" $runtime "seconds"

echo "Splitting dataset..."
python3 - "$@" <<END
import os
import xml.etree.ElementTree as ET
from os import getcwd

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_box(size, box):
    dw = 1. / (size[0])
    dh = 1. / (size[1])
    x, y, w, h = (box[0] + box[1]) / 2.0 - 1, (box[2] + box[3]) / 2.0 - 1, box[1] - box[0], box[3] - box[2]
    return x * dw, y * dh, w * dw, h * dh


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_box((w, h), b)
        out_file.write(str(cls_id) + " " + " ".join([str(a) for a in bb]) + '\n')


cwd = 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' % (cwd, year, image_id))
        convert_annotation(year, image_id)
    list_file.close()
END

cat 2007_train.txt 2007_val.txt 2012_train.txt 2012_val.txt >train.txt
cat 2007_train.txt 2007_val.txt 2007_test.txt 2012_train.txt 2012_val.txt >train.all.txt

mkdir ../VOC ../VOC/images ../VOC/images/train ../VOC/images/val
mkdir ../VOC/labels ../VOC/labels/train ../VOC/labels/val

python3 - "$@" <<END
import os

print(os.path.exists('../tmp/train.txt'))
with open('../tmp/train.txt', 'r') as f:
    for line in f.readlines():
        line = "/".join(line.split('/')[-5:]).strip()
        if os.path.exists("../" + line):
            os.system("cp ../" + line + " ../VOC/images/train")

        line = line.replace('JPEGImages', 'labels').replace('jpg', 'txt')
        if os.path.exists("../" + line):
            os.system("cp ../" + line + " ../VOC/labels/train")

print(os.path.exists('../tmp/2007_test.txt'))
with open('../tmp/2007_test.txt', 'r') as f:
    for line in f.readlines():
        line = "/".join(line.split('/')[-5:]).strip()
        if os.path.exists("../" + line):
            os.system("cp ../" + line + " ../VOC/images/val")

        line = line.replace('JPEGImages', 'labels').replace('jpg', 'txt')
        if os.path.exists("../" + line):
            os.system("cp ../" + line + " ../VOC/labels/val")
END

rm -rf ../tmp # remove temporary directory
echo "VOC download done."