[Feature] Support donwloading datasets from opendatalab (#212)

mim/commands/download.py

@@ -1,9 +1,13 @@
 # Copyright (c) OpenMMLab. All rights reserved.
 import os
 import os.path as osp
-from typing import List, Optional
+import platform
+import subprocess
+import sys
+from typing import List, Optional, Union
 
 import click
+import yaml
 
 from mim.click import (
     OptionEatAll,
@@ -14,11 +18,14 @@ from mim.click import (
 from mim.commands.search import get_model_info
 from mim.utils import (
     DEFAULT_CACHE_DIR,
+    call_command,
+    color_echo,
     download_from_file,
     echo_success,
     get_installed_path,
     highlighted_error,
     is_installed,
+    module_full_name,
     split_package_version,
 )
 
@@ -33,8 +40,13 @@ from mim.utils import (
     '--config',
     'configs',
     cls=OptionEatAll,
-    required=True,
-    help='Config ids to download, such as resnet18_8xb16_cifar10')
+    help='Config ids to download, such as resnet18_8xb16_cifar10',
+    default=None)
+@click.option(
+    '--dataset',
+    'dataset',
+    help='dataset name to download, such as coco2017',
+    default=None)
 @click.option(
     '--ignore-ssl',
     'check_certificate',
@@ -44,7 +56,8 @@ from mim.utils import (
 @click.option(
     '--dest', 'dest_root', type=str, help='Destination of saving checkpoints.')
 def cli(package: str,
-        configs: List[str],
+        configs: Optional[List[str]],
+        dataset: Optional[str],
         dest_root: Optional[str] = None,
         check_certificate: bool = True) -> None:
     """Download checkpoints from url and parse configs from package.
@@ -54,31 +67,55 @@ def cli(package: str,
         > mim download mmcls --config resnet18_8xb16_cifar10
         > mim download mmcls --config resnet18_8xb16_cifar10 --dest .
     """
-    download(package, configs, dest_root, check_certificate)
+    download(package, configs, dest_root, check_certificate, dataset)
 
 
 def download(package: str,
-             configs: List[str],
+             configs: Optional[List[str]] = None,
              dest_root: Optional[str] = None,
-             check_certificate: bool = True) -> List[str]:
+             check_certificate: bool = True,
+             dataset: Optional[str] = None) -> Union[List[str], None]:
     """Download checkpoints from url and parse configs from package.
 
     Args:
         package (str): Name of package.
-        configs (List[str]): List of config ids.
-        dest_root (Optional[str]): Destination directory to save checkpoint and
+        configs (List[str], optional): List of config ids.
+        dest_root (str, optional): Destination directory to save checkpoint and
             config. Default: None.
         check_certificate (bool): Whether to check the ssl certificate.
             Default: True.
+        dataset (str, optional): The name of dataset.
     """
+    full_name = module_full_name(package)
+    if full_name == '':
+        msg = f"Can't determine a unique package given abbreviation {package}"
+        raise ValueError(highlighted_error(msg))
+    package = full_name
+
     if dest_root is None:
         dest_root = DEFAULT_CACHE_DIR
 
     dest_root = osp.abspath(dest_root)
 
+    if configs is not None and dataset is not None:
+        raise ValueError(
+            'Cannot download config and dataset at the same time!')
+    if configs is None and dataset is None:
+        raise ValueError('Please specify config or dataset to download!')
+
+    if configs is not None:
+        return _download_configs(package, configs, dest_root,
+                                 check_certificate)
+    else:
+        return _download_dataset(package, dataset, dest_root)  # type: ignore
+
+
+def _download_configs(package: str,
+                      configs: List[str],
+                      dest_root: str,
+                      check_certificate: bool = True) -> List[str]:
     # Create the destination directory if it does not exist.
-    if not osp.exists(dest_root):
-        os.makedirs(dest_root)
+    os.makedirs(dest_root, exist_ok=True)
 
     package, version = split_package_version(package)
     if version:
@@ -152,3 +189,74 @@ def download(package: str,
                     highlighted_error(f'{config_path} is not found.'))
 
     return checkpoints
+
+
+def _download_dataset(package: str, dataset: str, dest_root: str) -> None:
+    if platform.system() != 'Linux':
+        raise RuntimeError('downloading dataset is only supported in Linux!')
+
+    if not is_installed(package):
+        raise RuntimeError(
+            f'Please install {package} by `pip install {package}`')
+
+    installed_path = get_installed_path(package)
+    mim_path = osp.join(installed_path, '.mim')
+    dataset_index_path = osp.join(mim_path, 'dataset-index.yml')
+
+    if not osp.exists(dataset_index_path):
+        raise FileNotFoundError(
+            f'Cannot find {dataset_index_path}, '
+            f'please update {package} to the latest version! If you have '
+            f'already updated it and still get this error, please report an '
+            f'issue to {package}')
+    with open(dataset_index_path) as f:
+        datasets_meta = yaml.load(f, Loader=yaml.SafeLoader)
+
+    if dataset not in datasets_meta:
+        raise KeyError(f'Cannot find {dataset} in {dataset_index_path}. '
+                       'here are the available datasets: '
+                       '{}'.format('\n'.join(datasets_meta.keys())))
+    dataset_meta = datasets_meta[dataset]
+
+    # OpenMMLab repo will define the `dataset-index.yml` like this:
+    # voc2007:
+    #     dataset: PASCAL_VOC2007
+    #     download_root: data
+    #     data_root: data
+    #     script: tools/dataset_converters/scripts/preprocess_voc2007.sh
+
+    # In this case, the top level key "voc2007" means the "Dataset Name" passed
+    # to `mim download --dataset {Dataset Name}`
+    # The nested field "dataset" means the argument passed to `odl get`
+    # If the value of "dataset" is the same as the "Dataset Name", downstream
+    # repos can skip defining "dataset" and "Dataset Name" will be passed
+    # to `odl get`
+    src_name = dataset_meta.get('dataset', dataset)
+
+    # `odl get` will download raw dataset to `download_root`, and the script
+    # will process the raws data and put the prepared data to the `data_root`
+    download_root = dataset_meta['download_root']
+    os.makedirs(download_root, exist_ok=True)
+
+    color_echo(f'Start downloading {dataset} to {download_root}...', 'blue')
+    subprocess.check_call(['odl', 'get', src_name, '-d', download_root],
+                          stdin=sys.stdin,
+                          stdout=sys.stdout)
+
+    if not osp.exists(download_root):
+        return
+
+    script_path = dataset_meta.get('script')
+    if script_path is None:
+        return
+
+    script_path = osp.join(mim_path, script_path)
+    color_echo('Preprocess data ...', 'blue')
+    if dest_root == osp.abspath(DEFAULT_CACHE_DIR):
+        data_root = dataset_meta['data_root']
+    else:
+        data_root = dest_root
+    os.makedirs(data_root, exist_ok=True)
+    call_command(['chmod', '+x', script_path])
+    call_command([script_path, download_root, data_root])
+    echo_success('Finished!')

requirements/install.txt

@@ -1,6 +1,7 @@
 Click
 colorama
 model-index
+opendatalab
 pandas
 pip>=19.3
 requests