[CVCUDA] CMake integration, vison processor CV-CUDA integration, PaddleClas support CV-CUDA (#1074)

* cvcuda resize

* cvcuda center crop

* cvcuda resize

* add a fdtensor in fdmat

* get cv mat and get tensor support gpu

* paddleclas cvcuda preprocessor

* fix compile err

* fix windows compile error

* rename reused to cached

* address comment

* remove debug code

* add comment

* add manager run

* use cuda and cuda used

* use cv cuda doc

* address comment

---------

Co-authored-by: Jason <jiangjiajun@baidu.com>

python/fastdeploy/vision/classification/ppcls/__init__.py

@@ -35,12 +35,13 @@ class PaddleClasPreprocessor:
         """
         return self._preprocessor.run(input_ims)
 
-    def use_gpu(self, gpu_id=-1):
+    def use_cuda(self, enable_cv_cuda=False, gpu_id=-1):
         """Use CUDA preprocessors
 
+        :param: enable_cv_cuda: Whether to enable CV-CUDA
         :param: gpu_id: GPU device id
         """
-        return self._preprocessor.use_gpu(gpu_id)
+        return self._preprocessor.use_cuda(enable_cv_cuda, gpu_id)
 
     def disable_normalize(self):
         """
@@ -52,7 +53,7 @@ class PaddleClasPreprocessor:
         """
         This function will disable hwc2chw in preprocessing step.
         """
-        self._preprocessor.disable_permute()      
+        self._preprocessor.disable_permute()
 
 
 class PaddleClasPostprocessor: