[Model] Optimizer RVM Postprocess (#679)

* 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

* optimize rvm preprocess

* optimizer rvm postprocess

* fixed bug

* deal with comments

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

tests/models/test_rvm.py

@@ -27,6 +27,7 @@ def test_matting_rvm_cpu():
     fd.download(input_url, "resources")
     model_path = "resources/rvm/rvm_mobilenetv3_fp32.onnx"
     # use ORT
+    rc.test_option.use_ort_backend()
     model = fd.vision.matting.RobustVideoMatting(
         model_path, runtime_option=rc.test_option)