Python utils.check_sha1方法代碼示例

# 需要導入模塊: from mxnet.gluon import utils [as 別名]
# 或者: from mxnet.gluon.utils import check_sha1 [as 別名]
def download_city(path, overwrite=False):
    _CITY_DOWNLOAD_URLS = [
        ('gtFine_trainvaltest.zip', '99f532cb1af174f5fcc4c5bc8feea8c66246ddbc'),
        ('leftImg8bit_trainvaltest.zip', '2c0b77ce9933cc635adda307fbba5566f5d9d404')]
    download_dir = os.path.join(path, 'downloads')
    makedirs(download_dir)
    for filename, checksum in _CITY_DOWNLOAD_URLS:
        if not check_sha1(filename, checksum):
            raise UserWarning('File {} is downloaded but the content hash does not match. ' \
                              'The repo may be outdated or download may be incomplete. ' \
                              'If the "repo_url" is overridden, consider switching to ' \
                              'the default repo.'.format(filename))
        # extract
        with zipfile.ZipFile(filename,"r") as zip_ref:
            zip_ref.extractall(path=path)
        print("Extracted", filename) 

# 需要導入模塊: from mxnet.gluon import utils [as 別名]
# 或者: from mxnet.gluon.utils import check_sha1 [as 別名]
def _get_data(self):
        if any(not os.path.exists(path) or not check_sha1(path, sha1) for path, sha1 in
               ((os.path.join(self._root, name), sha1) for _, name, sha1 in self._train_data + self._test_data)):
            for url, _, sha1 in self._train_data + self._test_data:
                download(url=url, path=self._root, sha1_hash=sha1)

        if self._mode == "train":
            data_files = self._train_data[0]
        else:
            data_files = self._test_data[0]

        import scipy.io as sio

        loaded_mat = sio.loadmat(os.path.join(self._root, data_files[1]))

        data = loaded_mat["X"]
        data = np.transpose(data, (3, 0, 1, 2))
        self._data = mx.nd.array(data, dtype=data.dtype)

        self._label = loaded_mat["y"].astype(np.int32).squeeze()
        np.place(self._label, self._label == 10, 0) 

# 需要導入模塊: from mxnet.gluon import utils [as 別名]
# 或者: from mxnet.gluon.utils import check_sha1 [as 別名]
def check_file(filename, checksum, sha1):
    if not os.path.exists(filename):
        raise ValueError('File not found: '+filename)
    if checksum and not check_sha1(filename, sha1):
        raise ValueError('Corrupted file: '+filename) 

# 需要導入模塊: from mxnet.gluon import utils [as 別名]
# 或者: from mxnet.gluon.utils import check_sha1 [as 別名]
def check_file(filename, checksum, sha1):
    from mxnet.gluon.utils import check_sha1

    if not os.path.exists(filename):
        raise ValueError('File not found: '+filename)
    if checksum and not check_sha1(filename, sha1):
        raise ValueError('Corrupted file: '+filename) 

# 需要導入模塊: from mxnet.gluon import utils [as 別名]
# 或者: from mxnet.gluon.utils import check_sha1 [as 別名]
def get_model_file(model_name,
                   local_model_store_dir_path=os.path.join("~", ".mxnet", "models")):
    """
    Return location for the pretrained on local file system. This function will download from online model zoo when
    model cannot be found or has mismatch. The root directory will be created if it doesn't exist.

    Parameters
    ----------
    model_name : str
        Name of the model.
    local_model_store_dir_path : str, default $MXNET_HOME/models
        Location for keeping the model parameters.

    Returns
    -------
    file_path
        Path to the requested pretrained model file.
    """
    error, sha1_hash, repo_release_tag = get_model_name_suffix_data(model_name)
    short_sha1 = sha1_hash[:8]
    file_name = "{name}-{error}-{short_sha1}.params".format(
        name=model_name,
        error=error,
        short_sha1=short_sha1)
    local_model_store_dir_path = os.path.expanduser(local_model_store_dir_path)
    file_path = os.path.join(local_model_store_dir_path, file_name)
    if os.path.exists(file_path):
        if check_sha1(file_path, sha1_hash):
            return file_path
        else:
            logging.warning("Mismatch in the content of model file detected. Downloading again.")
    else:
        logging.info("Model file not found. Downloading to {}.".format(file_path))

    if not os.path.exists(local_model_store_dir_path):
        os.makedirs(local_model_store_dir_path)

    zip_file_path = file_path + ".zip"
    download(
        url="{repo_url}/releases/download/{repo_release_tag}/{file_name}.zip".format(
            repo_url=imgclsmob_repo_url,
            repo_release_tag=repo_release_tag,
            file_name=file_name),
        path=zip_file_path,
        overwrite=True)
    with zipfile.ZipFile(zip_file_path) as zf:
        zf.extractall(local_model_store_dir_path)
    os.remove(zip_file_path)

    if check_sha1(file_path, sha1_hash):
        return file_path
    else:
        raise ValueError("Downloaded file has different hash. Please try again.") 

# 需要導入模塊: from mxnet.gluon import utils [as 別名]
# 或者: from mxnet.gluon.utils import check_sha1 [as 別名]
def get_model_file(name, root=os.path.join('~', '.mxnet', 'models')):
    r"""Return location for the pretrained on local file system.

    This function will download from online model zoo when model cannot be found or has mismatch.
    The root directory will be created if it doesn't exist.

    Parameters
    ----------
    name : str
        Name of the model.
    root : str, default '~/.mxnet/models'
        Location for keeping the model parameters.

    Returns
    -------
    file_path
        Path to the requested pretrained model file.
    """
    from mxnet.gluon.model_zoo.model_store import get_model_file as upstream_get_model_file
    try:
        file_name = upstream_get_model_file(name=name, root=root)
    except ValueError:
        file_name = '{name}-{short_hash}'.format(name=name,
                                                 short_hash=short_hash(name))
    root = os.path.expanduser(root)
    file_path = os.path.join(root, file_name+'.params')
    sha1_hash = _model_sha1[name]
    if os.path.exists(file_path):
        if check_sha1(file_path, sha1_hash):
            return file_path
        else:
            print('Mismatch in the content of model file detected. Downloading again.')
    else:
        print('Model file is not found. Downloading.')

    if not os.path.exists(root):
        os.makedirs(root)

    zip_file_path = os.path.join(root, file_name+'.zip')
    repo_url = os.environ.get('MXNET_GLUON_REPO', apache_repo_url)
    if repo_url[-1] != '/':
        repo_url = repo_url + '/'
    download(_url_format.format(repo_url=repo_url, file_name=file_name),
             path=zip_file_path,
             overwrite=True)
    with zipfile.ZipFile(zip_file_path) as zf:
        zf.extractall(root)
    os.remove(zip_file_path)

    if check_sha1(file_path, sha1_hash):
        return file_path
    else:
        raise ValueError('Downloaded file has different hash. Please try again.') 

# 需要導入模塊: from mxnet.gluon import utils [as 別名]
# 或者: from mxnet.gluon.utils import check_sha1 [as 別名]
def download(url, path=None, overwrite=False, sha1_hash=None):
    """Download an given URL
    Parameters
    ----------
    url : str
        URL to download
    path : str, optional
        Destination path to store downloaded file. By default stores to the
        current directory with same name as in url.
    overwrite : bool, optional
        Whether to overwrite destination file if already exists.
    sha1_hash : str, optional
        Expected sha1 hash in hexadecimal digits. Will ignore existing file when hash is specified
        but doesn't match.
    Returns
    -------
    str
        The file path of the downloaded file.
    """
    if path is None:
        fname = url.split('/')[-1]
    else:
        path = os.path.expanduser(path)
        if os.path.isdir(path):
            fname = os.path.join(path, url.split('/')[-1])
        else:
            fname = path

    if overwrite or not os.path.exists(fname) or (sha1_hash and not check_sha1(fname, sha1_hash)):
        dirname = os.path.dirname(os.path.abspath(os.path.expanduser(fname)))
        if not os.path.exists(dirname):
            os.makedirs(dirname)

        print('Downloading %s from %s...'%(fname, url))
        r = requests.get(url, stream=True)
        if r.status_code != 200:
            raise RuntimeError("Failed downloading url %s"%url)
        total_length = r.headers.get('content-length')
        with open(fname, 'wb') as f:
            if total_length is None: # no content length header
                for chunk in r.iter_content(chunk_size=1024):
                    if chunk: # filter out keep-alive new chunks
                        f.write(chunk)
            else:
                total_length = int(total_length)
                for chunk in tqdm(r.iter_content(chunk_size=1024),
                                  total=int(total_length / 1024. + 0.5),
                                  unit='KB', unit_scale=False, dynamic_ncols=True):
                    f.write(chunk)

        if sha1_hash and not check_sha1(fname, sha1_hash):
            raise UserWarning('File {} is downloaded but the content hash does not match. ' \
                              'The repo may be outdated or download may be incomplete. ' \
                              'If the "repo_url" is overridden, consider switching to ' \
                              'the default repo.'.format(fname))

    return fname