diff --git a/.circleci/docker/Dockerfile b/.circleci/docker/Dockerfile
index ef2b15e66..1ab3850bd 100644
--- a/.circleci/docker/Dockerfile
+++ b/.circleci/docker/Dockerfile
@@ -26,8 +26,10 @@ RUN curl -fsSL -v -o ~/miniconda.sh -O  https://repo.anaconda.com/miniconda/Mini
 RUN /opt/conda/bin/conda install pytorch==${TORCH_VERSION} torchvision==${TORCHVISION_VERSION} cudatoolkit=${CUDA} -c pytorch -c conda-forge
 ENV PATH /opt/conda/bin:$PATH
 
-### install mim
-RUN /opt/conda/bin/pip install openmim
+### install mim, mmengine, mmcv
+RUN /opt/conda/bin/pip install openmim &&\
+    mim install mmengine &&\
+    mim install 'mmcv>=2.0.0rc1'
 
 WORKDIR /workspace
 
diff --git a/.circleci/test.yml b/.circleci/test.yml
index e14e3b6fc..7b4dfec04 100644
--- a/.circleci/test.yml
+++ b/.circleci/test.yml
@@ -63,16 +63,12 @@ commands:
           command: |
             python -m pip install torch==<< parameters.torch >>+<< parameters.platform >> torchvision==<< parameters.torchvision >>+<< parameters.platform >> -f https://download.pytorch.org/whl/torch_stable.html
   install_mmcv:
-    parameters:
-      version:
-        type: string
-        default: mmcv>=2.0.0rc1
     steps:
       - run:
-          name: Install mmcv-full
+          name: Install mmcv
           command: |
             python -m pip install opencv-python==4.5.4.60 openmim
-            mim install << parameters.version >>
+            python -m mim install mmengine "mmcv>=2.0.0rc1"
   install_mmdeploy:
     description: "Install MMDeploy"
     steps:
diff --git a/csrc/mmdeploy/codebase/mmocr/short_scale_aspect_jitter.cpp b/csrc/mmdeploy/codebase/mmocr/short_scale_aspect_jitter.cpp
index 2f03c4ffd..866e2239e 100644
--- a/csrc/mmdeploy/codebase/mmocr/short_scale_aspect_jitter.cpp
+++ b/csrc/mmdeploy/codebase/mmocr/short_scale_aspect_jitter.cpp
@@ -78,8 +78,9 @@ class ShortScaleAspectJitterImpl : public Module {
     auto dst_width = static_cast<int>(std::round(scale * img_shape[2]));
     dst_height = static_cast<int>(std::ceil(1.0 * dst_height / scale_divisor) * scale_divisor);
     dst_width = static_cast<int>(std::ceil(1.0 * dst_width / scale_divisor) * scale_divisor);
-    std::vector<float> scale_factor = {1.0 * dst_width / img_shape[2],
-                                       1.0 * dst_height / img_shape[1]};
+
+    std::vector<float> scale_factor = {(float) (1.0 * dst_width / img_shape[2]),
+                                       (float) (1.0 * dst_height / img_shape[1])};
 
     img_resize = ResizeImage(img, dst_height, dst_width);
     Value output = input;