[Fix] Fix the error when downloading config and checkpoint using mim (#…

…2921)

configs/face_2d_keypoint/topdown_regression/wflw/resnet_softwingloss_wflw.yml

@@ -1,6 +1,12 @@
+Collections:
+- Name: SoftWingloss
+  Paper:
+    Title: Structure-Coherent Deep Feature Learning for Robust Face Alignment
+    URL: https://ieeexplore.ieee.org/document/9442331/
+  README: https://github.com/open-mmlab/mmpose/blob/main/docs/src/papers/techniques/softwingloss.md
 Models:
 - Config: configs/face_2d_keypoint/topdown_regression/wflw/td-reg_res50_softwingloss_8xb64-210e_wflw-256x256.py
-  In Collection: ResNet
+  In Collection: SoftWingloss
   Metadata:
     Architecture:
     - DeepPose

configs/face_2d_keypoint/topdown_regression/wflw/resnet_wflw.yml

@@ -1,3 +1,9 @@
+Collections:
+- Name: ResNet
+  Paper:
+    Title: Deep residual learning for image recognition
+    URL: http://openaccess.thecvf.com/content_cvpr_2016/html/He_Deep_Residual_Learning_CVPR_2016_paper.html
+  README: https://github.com/open-mmlab/mmpose/blob/main/docs/src/papers/backbones/resnet.md
 Models:
 - Config: configs/face_2d_keypoint/topdown_regression/wflw/td-reg_res50_8xb64-210e_wflw-256x256.py
   In Collection: ResNet

configs/face_2d_keypoint/topdown_regression/wflw/resnet_wingloss_wflw.yml

@@ -1,6 +1,13 @@
+Collections:
+- Name: Wingloss
+  Paper:
+    Title: Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural
+      Networks
+    URL: http://openaccess.thecvf.com/content_cvpr_2018/html/Feng_Wing_Loss_for_CVPR_2018_paper.html
+  README: https://github.com/open-mmlab/mmpose/blob/main/docs/src/papers/techniques/wingloss.md
 Models:
 - Config: configs/face_2d_keypoint/topdown_regression/wflw/td-reg_res50_wingloss_8xb64-210e_wflw-256x256.py
-  In Collection: ResNet
+  In Collection: Wingloss
   Metadata:
     Architecture:
     - DeepPose

tests/test_external/test_mim.py

@@ -0,0 +1,21 @@
+# Copyright (c) OpenMMLab. All rights reserved.
+import os
+from tempfile import TemporaryDirectory
+from unittest import TestCase
+
+from mim.commands import download
+
+
+class TestMIM(TestCase):
+
+    def test_download(self):
+        with TemporaryDirectory() as tmp_dir:
+            ckpts = download(
+                'mmpose',
+                configs=['td-hm_hrnet-w48_8xb32-210e_coco-256x192'],
+                dest_root=tmp_dir)
+
+            self.assertEqual(len(ckpts), 1)
+            self.assertIn('td-hm_hrnet-w48_8xb32-210e_coco-256x192.py',
+                          os.listdir(tmp_dir))
+            self.assertIn(ckpts[0], os.listdir(tmp_dir))