Add deepstream readme

csrc/deepstream/README.md

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+# Start DeepStream Using the engine build from [`YOLOv8-TensorRT`](https://github.com/triple-Mu/YOLOv8-TensorRT)
+
+## 1. Build you own TensorRT engine from `trtexec` or [`build.py`](https://github.com/triple-Mu/YOLOv8-TensorRT/blob/main/build.py)
+
+For example, if you have built an engine named `yolov8s.engine`.
+
+## 2. Compile deepstream plugin
+
+First, modify the [`CMakeLists.txt`](https://github.com/triple-Mu/YOLOv8-TensorRT/blob/main/csrc/deepstream/CMakeLists.txt)
+
+```cmake
+# Set your own TensorRT path
+set(TensorRT_INCLUDE_DIRS /usr/include/x86_64-linux-gnu)
+set(TensorRT_LIBRARIES /usr/lib/x86_64-linux-gnu)
+# Set your own DeepStream path
+set(DEEPSTREAM /opt/nvidia/deepstream/deepstream)
+```
+
+Second, build deepstream plugin
+
+```shell
+mkdir build
+cd build
+cmake ..
+make
+```
+You will get a lib `libnvdsinfer_custom_bbox_yoloV8.so` in [`build`].
+
+
+## 3. Modify the deepstream config
+
+The net config is [`config_yoloV8.txt`](config_yoloV8.txt). Please modify by your own model.
+
+```text
+net-scale-factor=0.0039215697906911373                              # the normalize param == 1/255
+model-engine-file=./yolov8s.engine                                  # the engine path you build
+labelfile-path=./labels.txt                                         # the class name path
+num-detected-classes=80                                             # the number of classes
+output-blob-names=num_dets;bboxes;scores;labels                     # the model output names
+custom-lib-path=./build/libnvdsinfer_custom_bbox_yoloV8.so          # the deepstream plugin you build
+```
+
+The deepstream config is [`deepstream_app_config.txt`](deepstream_app_config.txt).
+
+```text
+config-file=config_yoloV8.txt                                       # the net config path
+```
+
+You can get more information from [`deepstream offical`](https://developer.nvidia.com/deepstream-sdk).
+
+## 4. Runing detector !
+
+```shell
+deepstream-app -c deepstream_app_config.txt
+```