download.py

#   Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

import os
import os.path as osp
import shutil
import requests
import tqdm
import hashlib
import tarfile
import zipfile

from .voc_utils import merge_and_create_list

import logging
logger = logging.getLogger(__name__)

__all__ = ['get_weights_path', 'get_dataset_path']

WEIGHTS_HOME = osp.expanduser("~/.cache/paddle/weights")
DATASET_HOME = osp.expanduser("~/.cache/paddle/dataset")

# dict of {dataset_name: (downalod_info, sub_dirs)}
# download info: (url, md5sum)
DATASETS = {
    'coco': ([
        (
            'http://images.cocodataset.org/zips/train2017.zip',
            'cced6f7f71b7629ddf16f17bbcfab6b2', ),
        (
            'http://images.cocodataset.org/zips/val2017.zip',
            '442b8da7639aecaf257c1dceb8ba8c80', ),
        (
            'http://images.cocodataset.org/annotations/annotations_trainval2017.zip',
            'f4bbac642086de4f52a3fdda2de5fa2c', ),
    ], ["annotations", "train2017", "val2017"]),
    'voc': ([
        (
            'http://host.robots.ox.ac.uk/pascal/VOC/voc2012/VOCtrainval_11-May-2012.tar',
            '6cd6e144f989b92b3379bac3b3de84fd', ),
        (
            'http://host.robots.ox.ac.uk/pascal/VOC/voc2007/VOCtrainval_06-Nov-2007.tar',
            'c52e279531787c972589f7e41ab4ae64', ),
        (
            'http://host.robots.ox.ac.uk/pascal/VOC/voc2007/VOCtest_06-Nov-2007.tar',
            'b6e924de25625d8de591ea690078ad9f', ),
    ], ["VOCdevkit/VOC_all"]),
}

DOWNLOAD_RETRY_LIMIT = 3


def get_weights_path(url):
    """Get weights path from WEIGHT_HOME, if not exists,
    download it from url.
    """
    return get_path(url, WEIGHTS_HOME)


def get_dataset_path(path, annotation, image_dir):
    """
    If path exists, return path.
    Otherwise, get dataset path from DATASET_HOME, if not exists,
    download it.
    """
    if _dataset_exists(path, annotation, image_dir):
        return path

    logger.info("Dataset {} not exists, try searching {} or "
                "downloading dataset...".format(
                    osp.realpath(path), DATASET_HOME))

    for name, dataset in DATASETS.items():
        if os.path.split(path.strip().lower())[-1] == name:
            logger.info("Parse dataset_dir {} as dataset "
                        "{}".format(path, name))
            data_dir = osp.join(DATASET_HOME, name)

            # For voc, only check merged dir VOC_all
            if name == 'voc':
                check_dir = osp.join(data_dir, dataset[1][0])
                if osp.exists(check_dir):
                    logger.info("Found {}".format(check_dir))
                    return data_dir

            for url, md5sum in dataset[0]:
                get_path(url, data_dir, md5sum)

            # voc should merge dir and create list after download
            if name == 'voc':
                logger.info("Download voc dataset successed, merge "
                            "VOC2007 and VOC2012 to VOC_all...")
                output_dir = osp.join(data_dir, dataset[1][0])
                devkit_dir = "/".join(output_dir.split('/')[:-1])
                years = ['2007', '2012']
                # merge dir in output_tmp_dir at first, move to 
                # output_dir after merge sucessed.
                output_tmp_dir = osp.join(data_dir, 'tmp')
                if osp.isdir(output_tmp_dir):
                    shutil.rmtree(output_tmp_dir)
                # NOTE(dengkaipeng): since using auto download VOC
                # dataset, VOC default label list should be used, 
                # do not generate label_list.txt here. For default
                # label, see ../data/source/voc_loader.py
                merge_and_create_list(devkit_dir, years, output_tmp_dir)
                shutil.move(output_tmp_dir, output_dir)
                # remove source directory VOC2007 and VOC2012
                shutil.rmtree(osp.join(devkit_dir, "VOC2007"))
                shutil.rmtree(osp.join(devkit_dir, "VOC2012"))
            return data_dir

    # not match any dataset in DATASETS
    raise ValueError("{} not exists or unknow dataset type".format(path))


def get_path(url, root_dir, md5sum=None):
    """ Download from given url to root_dir.
    if file or directory specified by url is exists under
    root_dir, return the path directly, otherwise download
    from url and decompress it, return the path.

    url (str): download url
    root_dir (str): root dir for downloading, it should be
                    WEIGHTS_HOME or DATASET_HOME
    md5sum (str): md5 sum of download package
    """
    # parse path after download to decompress under root_dir
    fname = url.split('/')[-1]
    zip_formats = ['.zip', '.tar', '.gz']
    fpath = fname
    for zip_format in zip_formats:
        fpath = fpath.replace(zip_format, '')
    fullpath = osp.join(root_dir, fpath)

    # For same zip file, decompressed directory name different
    # from zip file name, rename by following map
    decompress_name_map = {
        "VOC": "VOCdevkit/VOC_all",
        "annotations_trainval": "annotations"
    }
    for k, v in decompress_name_map.items():
        if fullpath.find(k) >= 0:
            fullpath = '/'.join(fullpath.split('/')[:-1] + [v])

    if osp.exists(fullpath):
        logger.info("Found {}".format(fullpath))
    else:
        fullname = _download(url, root_dir, md5sum)
        _decompress(fullname)

    return fullpath


def _dataset_exists(path, annotation, image_dir):
    """
    Check if user define dataset exists
    """
    if not osp.exists(path):
        logger.info("Config dataset_dir {} not exits".format(path))
        return False

    if annotation:
        annotation_path = osp.join(path, annotation)
        if not osp.isfile(annotation_path):
            logger.info("Config annotation {} is not a "
                        "file".format(annotation_path))
            return False
    if image_dir:
        image_path = osp.join(path, image_dir)
        if not osp.isdir(image_path):
            logger.info("Config image_dir {} is not a "
                        "directory".format(image_path))
            return False
    return True


def _download(url, path, md5sum=None):
    """
    Download from url, save to path.

    url (str): download url
    path (str): download to given path
    """
    if not osp.exists(path):
        os.makedirs(path)

    fname = url.split('/')[-1]
    fullname = osp.join(path, fname)
    retry_cnt = 0

    while not (osp.exists(fullname) and _md5check(fullname, md5sum)):
        if retry_cnt < DOWNLOAD_RETRY_LIMIT:
            retry_cnt += 1
        else:
            raise RuntimeError("Download from {} failed. "
                               "Retry limit reached".format(url))

        logger.info("Downloading {} from {}".format(fname, url))

        req = requests.get(url, stream=True)
        if req.status_code != 200:
            raise RuntimeError("Downloading from {} failed with code "
                               "{}!".format(url, req.status_code))

        # For protecting download interupted, download to
        # tmp_fullname firstly, move tmp_fullname to fullname
        # after download finished
        tmp_fullname = fullname + "_tmp"
        total_size = req.headers.get('content-length')
        with open(tmp_fullname, 'wb') as f:
            if total_size:
                for chunk in tqdm.tqdm(
                        req.iter_content(chunk_size=1024),
                        total=(int(total_size) + 1023) // 1024,
                        unit='KB'):
                    f.write(chunk)
            else:
                for chunk in req.iter_content(chunk_size=1024):
                    if chunk:
                        f.write(chunk)
        shutil.move(tmp_fullname, fullname)

    return fullname


def _md5check(fullname, md5sum=None):
    if md5sum is None:
        return True

    logger.info("File {} md5 checking...".format(fullname))
    md5 = hashlib.md5()
    with open(fullname, 'rb') as f:
        for chunk in iter(lambda: f.read(4096), b""):
            md5.update(chunk)
    calc_md5sum = md5.hexdigest()

    if calc_md5sum != md5sum:
        logger.info("File {} md5 check failed, {}(calc) != "
                    "{}(base)".format(fullname, calc_md5sum, md5sum))
        return False
    return True


def _decompress(fname):
    """
    Decompress for zip and tar file
    """
    logger.info("Decompressing {}...".format(fname))

    # For protecting decompressing interupted,
    # decompress to fpath_tmp directory firstly, if decompress
    # successed, move decompress files to fpath and delete
    # fpath_tmp and remove download compress file.
    fpath = '/'.join(fname.split('/')[:-1])
    fpath_tmp = osp.join(fpath, 'tmp')
    if osp.isdir(fpath_tmp):
        shutil.rmtree(fpath_tmp)
        os.makedirs(fpath_tmp)

    if fname.find('tar') >= 0:
        with tarfile.open(fname) as tf:
            tf.extractall(path=fpath_tmp)
    elif fname.find('zip') >= 0:
        with zipfile.ZipFile(fname) as zf:
            zf.extractall(path=fpath_tmp)
    else:
        raise TypeError("Unsupport compress file type {}".format(fname))

    for f in os.listdir(fpath_tmp):
        src_dir = osp.join(fpath_tmp, f)
        dst_dir = osp.join(fpath, f)
        _move_and_merge_tree(src_dir, dst_dir)

    shutil.rmtree(fpath_tmp)
    os.remove(fname)


def _move_and_merge_tree(src, dst):
    """
    Move src directory to dst, if dst is already exists, 
    merge src to dst
    """
    if not osp.exists(dst):
        shutil.move(src, dst)
    else:
        for fp in os.listdir(src):
            src_fp = osp.join(src, fp)
            dst_fp = osp.join(dst, fp)
            if osp.isdir(src_fp):
                if osp.isdir(dst_fp):
                    _move_and_merge_tree(src_fp, dst_fp)
                else:
                    shutil.move(src_fp, dst_fp)
            elif osp.isfile(src_fp) and \
                    not osp.isfile(dst_fp):
                shutil.move(src_fp, dst_fp)