New YOLOv5 conversion and support (>= v2.0)

docs/YOLOR.md

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+# YOLOR usage
+
+**NOTE**: You need to use the main branch of the YOLOR repo to convert the model.
+
+**NOTE**: The cfg is required.
+
+* [Convert model](#convert-model)
+* [Compile the lib](#compile-the-lib)
+* [Edit the config_infer_primary_yolor file](#edit-the-config_infer_primary_yolor-file)
+* [Edit the deepstream_app_config file](#edit-the-deepstream_app_config-file)
+* [Testing the model](#testing-the-model)
+
+##
+
+### Convert model
+
+#### 1. Download the YOLOR repo and install the requirements
+
+```
+git clone https://github.com/WongKinYiu/yolor.git
+cd yolor
+pip3 install -r requirements.txt
+```
+
+**NOTE**: It is recommended to use a Python virtualenv.
+
+#### 2. Copy conversor
+
+Copy the `gen_wts_yolor.py` file from `DeepStream-Yolo/utils` directory to the `yolor` folder.
+
+#### 3. Download the model
+
+Download the `pt` file from [YOLOR](https://github.com/WongKinYiu/yolor) repo.
+
+**NOTE**: You can use your custom model, but it is important to keep the YOLO model reference (`yolor_`) in you `cfg` and `weights`/`wts` filenames to generate the engine correctly.
+
+#### 4. Convert model
+
+Generate the `cfg` and `wts` files (example for YOLOR-CSP)
+
+```
+python3 gen_wts_yolor.py -w yolor_csp.pt -c cfg/yolor_csp.cfg
+```
+
+#### 5. Copy generated files
+
+Copy the generated `cfg` and `wts` files to the `DeepStream-Yolo` folder
+
+##
+
+### Compile the lib
+
+Open the `DeepStream-Yolo` folder and compile the lib
+
+* DeepStream 6.1 on x86 platform
+
+  ```
+  CUDA_VER=11.6 make -C nvdsinfer_custom_impl_Yolo
+  ```
+
+* DeepStream 6.0.1 / 6.0 on x86 platform
+
+  ```
+  CUDA_VER=11.4 make -C nvdsinfer_custom_impl_Yolo
+  ```
+
+* DeepStream 6.1 on Jetson platform
+
+  ```
+  CUDA_VER=11.4 make -C nvdsinfer_custom_impl_Yolo
+  ```
+
+* DeepStream 6.0.1 / 6.0 on Jetson platform
+
+  ```
+  CUDA_VER=10.2 make -C nvdsinfer_custom_impl_Yolo
+  ```
+
+##
+
+### Edit the config_infer_primary_yolor file
+
+Edit the `config_infer_primary_yolor.txt` file according to your model (example for YOLOR-CSP)
+
+```
+[property]
+...
+custom-network-config=yolor_csp.cfg
+model-file=yolor_csp.wts
+...
+```
+
+##
+
+### Edit the deepstream_app_config.txt file
+
+```
+...
+[primary-gie]
+...
+config-file=config_infer_primary_yolor.txt
+```
+
+##
+
+### Testing the model
+
+```
+deepstream-app -c deepstream_app_config.txt
+```