* [Backend] fix lite backend save model error
* [Backend] fixed typos
* [FlyCV] optimize the integration of FlyCV
* [cmake] close some tests options
* [cmake] close some test option
* [FlyCV] remove un-need warnings
* [FlyCV] remove un-need GetMat method
* [FlyCV] optimize FlyCV codes
* [cmake] remove un-need cmake function in examples/CMakelists
* [cmake] support gflags for Android
* add yolo cuda preprocessing
* cmake build cuda src
* yolov5 support cuda preprocessing
* yolov5 cuda preprocessing configurable
* yolov5 update get mat data api
* yolov5 check cuda preprocess args
* refactor cuda function name
* yolo cuda preprocess padding value configurable
* yolov5 release cuda memory
* cuda preprocess pybind api update
* move use_cuda_preprocessing option to yolov5 model
* yolov5lite cuda preprocessing
* yolov6 cuda preprocessing
* yolov7 cuda preprocessing
* yolov7_e2e cuda preprocessing
* remove cuda preprocessing in runtime option
* refine log and cmake variable name
* fix model runtime ptr type
Co-authored-by: Jason <jiangjiajun@baidu.com>
* update .gitignore
* Added checking for cmake include dir
* fixed missing trt_backend option bug when init from trt
* remove un-need data layout and add pre-check for dtype
* changed RGB2BRG to BGR2RGB in ppcls model
* add model_zoo yolov6 c++/python demo
* fixed CMakeLists.txt typos
* update yolov6 cpp/README.md
* add yolox c++/pybind and model_zoo demo
* move some helpers to private
* fixed CMakeLists.txt typos
* add normalize with alpha and beta
* add version notes for yolov5/yolov6/yolox
* add copyright to yolov5.cc
* revert normalize
* fixed some bugs in yolox
* Add YOLOv5Face Model support
* fixed examples/vision typos
* fixed runtime_option print func bugs
* Add multi-label function for yolov5
* Update README.md
Update doc
* Update fastdeploy_runtime.cc
fix variable option.trt_max_shape wrong name
* Update runtime_option.md
Update resnet model dynamic shape setting name from images to x
* Fix bug when inference result boxes are empty
* Delete detection.py
* Align fastdeploy prediction precision with yolov5
* Change name of Sort function to SortDetectionResult
* Add stride max_wh is_mini_pad property in __init__.py and unify format of getting image width and length
* Change mergesort.cc to sort_det_res.cc
