[Model] Refactor YOLOv7 module (#611)

* add paddle_trt in benchmark

* update benchmark in device

* update benchmark

* update result doc

* fixed for CI

* update python api_docs

* update index.rst

* add runtime cpp examples

* deal with comments

* Update infer_paddle_tensorrt.py

* Add runtime quick start

* deal with comments

* fixed reused_input_tensors&&reused_output_tensors

* fixed docs

* fixed headpose typo

* fixed typo

* refactor yolov5

* update model infer

* refactor pybind for yolov5

* rm origin yolov5

* fixed bugs

* rm cuda preprocess

* fixed bugs

* fixed bugs

* fixed bug

* fixed bug

* fix pybind

* rm useless code

* add convert_and_permute

* fixed bugs

* fixed im_info for bs_predict

* fixed bug

* add bs_predict for yolov5

* Add runtime test and batch eval

* deal with comments

* fixed bug

* update testcase

* fixed batch eval bug

* fixed preprocess bug

* refactor yolov7

* add yolov7 testcase

* rm resize_after_load and add is_scale_up

* fixed bug

* set multi_label true

Co-authored-by: Jason <928090362@qq.com>

python/fastdeploy/vision/detection/contrib/yolov5.py

@@ -41,9 +41,19 @@ class YOLOv5Preprocessor:
 
     @property
     def padding_value(self):
+        """
+        padding value for preprocessing, default [114.0, 114.0, 114.0]
+        """
         #  padding value, size should be the same as channels
         return self._preprocessor.padding_value
 
+    @property
+    def is_scale_up(self):
+        """
+        is_scale_up for preprocessing, the input image only can be zoom out, the maximum resize scale cannot exceed 1.0, default true
+        """
+        return self._preprocessor.is_scale_up
+
     @size.setter
     def size(self, wh):
         assert isinstance(wh, (list, tuple)),\
@@ -60,6 +70,13 @@ class YOLOv5Preprocessor:
             list), "The value to set `padding_value` must be type of list."
         self._preprocessor.padding_value = value
 
+    @is_scale_up.setter
+    def is_scale_up(self, value):
+        assert isinstance(
+            value,
+            bool), "The value to set `is_scale_up` must be type of bool."
+        self._preprocessor.is_scale_up = value
+
 
 class YOLOv5Postprocessor:
     def __init__(self):
@@ -93,7 +110,7 @@ class YOLOv5Postprocessor:
     @property
     def multi_label(self):
         """
-        multi_label for postprocessing, default is true
+        multi_label for postprocessing, set true for eval, default is True
         """
         return self._postprocessor.multi_label