From 1a4ff642b2931c23a1562cad2d6e9f44ecaf54e0 Mon Sep 17 00:00:00 2001
From: tctco <tctco001@163.com>
Date: Fri, 7 Jun 2024 12:21:26 +0800
Subject: [PATCH 1/2] fixed an indentation error in func postprocess_result
 inside base_decoder.py

---
 mmflow/apis/inference.py               | 2 +-
 mmflow/models/decoders/base_decoder.py | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/mmflow/apis/inference.py b/mmflow/apis/inference.py
index 42aa44c5..9b1ef552 100644
--- a/mmflow/apis/inference.py
+++ b/mmflow/apis/inference.py
@@ -88,7 +88,7 @@ def inference_model(model: torch.nn.Module, img1s: Union[str, np.ndarray],
     # there is no need to load annotation.
     for t in cfg.pipeline:
         if t.get('type') == 'LoadAnnotations':
-            cfg.test_pipeline.remove(t)
+            cfg.pipeline.remove(t)
 
     test_pipeline = Compose(cfg.pipeline)
     datas = defaultdict(list)
diff --git a/mmflow/models/decoders/base_decoder.py b/mmflow/models/decoders/base_decoder.py
index 6021cc88..744f9e74 100644
--- a/mmflow/models/decoders/base_decoder.py
+++ b/mmflow/models/decoders/base_decoder.py
@@ -99,7 +99,7 @@ def postprocess_result(
                             f[1, :, :] = f[1, :, :] / h_scale
                     data_samples[i].set_data(
                         {'pred_' + key: PixelData(**{'data': f})})
-            return data_samples
+        return data_samples
 
     def predict_by_feat(self,
                         flow_results: Tensor,

From af5f8be53b62f91402725ee1292989eb9a5503c2 Mon Sep 17 00:00:00 2001
From: Tang Cheng <45505657+tctco@users.noreply.github.com>
Date: Thu, 19 Feb 2026 21:26:50 +0800
Subject: [PATCH 2/2] Update MMCV_MAX version to 2.2.1

---
 mmflow/__init__.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/mmflow/__init__.py b/mmflow/__init__.py
index a05c54b5..3c24fffa 100644
--- a/mmflow/__init__.py
+++ b/mmflow/__init__.py
@@ -8,7 +8,7 @@
 from .version import __version__, version_info
 
 MMCV_MIN = '2.0.0rc1'
-MMCV_MAX = '2.1.0'
+MMCV_MAX = '2.2.1'
 MMENGINE_MIN = '0.4.0'
 MMENGINE_MAX = '1.0.0'