fix wrong input mat type (open-mmlab#362)

* fix wrong input mat type * fix lint
humu789 · Apr 15, 2022 · fdbd3d1 · fdbd3d1
1 parent ade8e02
commit fdbd3d1
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Showing 5 changed files with 10 additions and 10 deletions.
diff --git a/csrc/apis/c/classifier.cpp b/csrc/apis/c/classifier.cpp
@@ -86,8 +86,8 @@ int mmdeploy_classifier_apply(mm_handle_t handle, const mm_mat_t* mats, int mat_
 
     Value input{Value::kArray};
     for (int i = 0; i < mat_count; ++i) {
-      mmdeploy::Mat _mat{mats[i].height,       mats[i].width, PixelFormat(mats[i].format),
-                         DataType(mats->type), mats[i].data,  Device{"cpu"}};
+      mmdeploy::Mat _mat{mats[i].height,         mats[i].width, PixelFormat(mats[i].format),
+                         DataType(mats[i].type), mats[i].data,  Device{"cpu"}};
       input.front().push_back({{"ori_img", _mat}});
     }
 

diff --git a/csrc/apis/c/detector.cpp b/csrc/apis/c/detector.cpp
@@ -85,8 +85,8 @@ int mmdeploy_detector_apply(mm_handle_t handle, const mm_mat_t* mats, int mat_co
 
     Value input{Value::kArray};
     for (int i = 0; i < mat_count; ++i) {
-      mmdeploy::Mat _mat{mats[i].height,       mats[i].width, PixelFormat(mats[i].format),
-                         DataType(mats->type), mats[i].data,  Device{"cpu"}};
+      mmdeploy::Mat _mat{mats[i].height,         mats[i].width, PixelFormat(mats[i].format),
+                         DataType(mats[i].type), mats[i].data,  Device{"cpu"}};
       input.front().push_back({{"ori_img", _mat}});
     }
 

diff --git a/csrc/apis/c/pose_detector.cpp b/csrc/apis/c/pose_detector.cpp
@@ -104,8 +104,8 @@ int mmdeploy_pose_detector_apply_bbox(mm_handle_t handle, const mm_mat_t* mats,
     Value input{Value::kArray};
     auto result_count = 0;
     for (int i = 0; i < mat_count; ++i) {
-      mmdeploy::Mat _mat{mats[i].height,       mats[i].width, PixelFormat(mats[i].format),
-                         DataType(mats->type), mats[i].data,  Device{"cpu"}};
+      mmdeploy::Mat _mat{mats[i].height,         mats[i].width, PixelFormat(mats[i].format),
+                         DataType(mats[i].type), mats[i].data,  Device{"cpu"}};
 
       Value img_with_boxes;
       if (bboxes && bbox_count) {

diff --git a/csrc/apis/c/segmentor.cpp b/csrc/apis/c/segmentor.cpp
@@ -84,8 +84,8 @@ int mmdeploy_segmentor_apply(mm_handle_t handle, const mm_mat_t* mats, int mat_c
 
     Value input{Value::kArray};
     for (int i = 0; i < mat_count; ++i) {
-      mmdeploy::Mat _mat{mats[i].height,       mats[i].width, PixelFormat(mats[i].format),
-                         DataType(mats->type), mats[i].data,  Device{"cpu"}};
+      mmdeploy::Mat _mat{mats[i].height,         mats[i].width, PixelFormat(mats[i].format),
+                         DataType(mats[i].type), mats[i].data,  Device{"cpu"}};
       input.front().push_back({{"ori_img", _mat}});
     }
 

diff --git a/csrc/apis/c/text_recognizer.cpp b/csrc/apis/c/text_recognizer.cpp
@@ -142,8 +142,8 @@ int mmdeploy_text_recognizer_apply_bbox(mm_handle_t handle, const mm_mat_t *imag
       }
 
       result_index[i] = static_cast<int>(input_images.size());
-      mmdeploy::Mat _mat{images[i].height,       images[i].width, PixelFormat(images[i].format),
-                         DataType(images->type), images[i].data,  Device{"cpu"}};
+      mmdeploy::Mat _mat{images[i].height,         images[i].width, PixelFormat(images[i].format),
+                         DataType(images[i].type), images[i].data,  Device{"cpu"}};
       input_images.push_back({{"ori_img", _mat}});
     }