[Fix] skip warnings in demo

configs/fashion_2d_keypoint/topdown_heatmap/deepfashion/hrnet_deepfashion.yml

@@ -1,18 +1,6 @@
-Collections:
-- Name: HRNet
-  Paper:
-    Title: Deep high-resolution representation learning for human pose estimation
-    URL: http://openaccess.thecvf.com/content_CVPR_2019/html/Sun_Deep_High-Resolution_Representation_Learning_for_Human_Pose_Estimation_CVPR_2019_paper.html
-  README: https://github.com/open-mmlab/mmpose/blob/main/docs/src/papers/backbones/hrnet.md
-- Name: UDP
-  Paper:
-    Title: 'The Devil Is in the Details: Delving Into Unbiased Data Processing for
-      Human Pose Estimation'
-    URL: http://openaccess.thecvf.com/content_CVPR_2020/html/Huang_The_Devil_Is_in_the_Details_Delving_Into_Unbiased_Data_CVPR_2020_paper.html
-  README: https://github.com/open-mmlab/mmpose/blob/main/docs/src/papers/techniques/udp.md
 Models:
 - Config: configs/fashion_2d_keypoint/topdown_heatmap/deepfashion/td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192.py
-  In Collection: HRNet, UDP
+  In Collection: UDP
   Metadata:
     Architecture: &id001
     - HRNet
@@ -28,7 +16,7 @@ Models:
     Task: Fashion 2D Keypoint
   Weights: https://download.openmmlab.com/mmpose/v1/fashion_2d_keypoint/topdown_heatmap/deepfashion/td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_lower-256x192-ddaf747d_20230810.pth
 - Config: configs/fashion_2d_keypoint/topdown_heatmap/deepfashion/td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_upper-256x192.py
-  In Collection: HRNet, UDP
+  In Collection: UDP
   Metadata:
     Architecture: *id001
     Training Data: DeepFashion
@@ -42,7 +30,7 @@ Models:
     Task: Fashion 2D Keypoint
   Weights: https://download.openmmlab.com/mmpose/v1/fashion_2d_keypoint/topdown_heatmap/deepfashion/td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_upper-256x192-de7c0eb1_20230810.pth
 - Config: configs/fashion_2d_keypoint/topdown_heatmap/deepfashion/td-hm_hrnet-w48_udp_8xb32-210e_deepfashion_full-256x192.py
-  In Collection: HRNet, UDP
+  In Collection: UDP
   Metadata:
     Architecture: *id001
     Training Data: DeepFashion

mmpose/__init__.py

@@ -6,7 +6,7 @@
 from .version import __version__, short_version
 
 mmcv_minimum_version = '2.0.0rc4'
-mmcv_maximum_version = '2.1.0'
+mmcv_maximum_version = '2.2.0'
 mmcv_version = digit_version(mmcv.__version__)
 
 mmengine_minimum_version = '0.6.0'

mmpose/models/pose_estimators/base.py

@@ -202,18 +202,32 @@ def extract_feat(self, inputs: Tensor) -> Tuple[Tensor]:
 
     def _load_state_dict_pre_hook(self, state_dict, prefix, local_meta, *args,
                                   **kwargs):
-        """A hook function to convert old-version state dict of
+        """A hook function to.
+
+        1) convert old-version state dict of
         :class:`TopdownHeatmapSimpleHead` (before MMPose v1.0.0) to a
         compatible format of :class:`HeatmapHead`.
 
+        2) remove the weights in data_preprocessor to avoid warning
+        `unexpected key in source state_dict: ...`. These weights are
+        initialized with given arguments and remain same during training
+        and inference.
+
         The hook will be automatically registered during initialization.
         """
+
+        keys = list(state_dict.keys())
+
+        # remove the keys in data_preprocessor to avoid warning
+        for k in keys:
+            if k in ('data_preprocessor.mean', 'data_preprocessor.std'):
+                del state_dict[k]
+
         version = local_meta.get('version', None)
         if version and version >= self._version:
             return
 
         # convert old-version state dict
-        keys = list(state_dict.keys())
         for k in keys:
             if 'keypoint_head' in k:
                 v = state_dict.pop(k)

mmpose/visualization/local_visualizer.py

@@ -1,5 +1,6 @@
 # Copyright (c) OpenMMLab. All rights reserved.
 import math
+import warnings
 from typing import Dict, List, Optional, Tuple, Union
 
 import cv2
@@ -117,6 +118,12 @@ def __init__(self,
                  show_keypoint_weight: bool = False,
                  backend: str = 'opencv',
                  alpha: float = 1.0):
+
+        warnings.filterwarnings(
+            'ignore',
+            message='.*please provide the `save_dir` argument.*',
+            category=UserWarning)
+
         super().__init__(
             name=name,
             image=image,

requirements/mminstall.txt

@@ -1,3 +1,3 @@
-mmcv>=2.0.0,<2.1.0
-mmdet>=3.0.0,<3.2.0
+mmcv>=2.0.0,<2.2.0
+mmdet>=3.0.0,<3.3.0
 mmengine>=0.4.0,<1.0.0