算法部署-在Jetson-Nano上使用deepstream部署ONNX模型-附项目源码-优质项目实战.zip

# Deep-Stream-ONNX ## Setup ### Step 1: Setting up Jetson Nano and DeepStream. - Setup your Jetson Nano and to install the DeepStream SDK. ### Step 2: Download the project ### Step 3: Download the Tiny YOLOv2 ONNX model. - Download the Tiny YOLOv2 ONNX model from the [ONNX Model Zoo](https://github.com/onnx/models). We used this [model](https://onnxzoo.blob.core.windows.net/models/opset_8/tiny_yolov2/tiny_yolov2.tar.gz) in our experiments. ### Step 4: Compiling the custom bounding box parser. - A custom bounding box parser function is written in `nvdsparsebbox_tiny_yolo.cpp` inside the `custom_bbox_parser` folder. - A `Makefile` is configured to compile the custom bounding box parsing function into a shared library (.so) file. It is also available inside the same folder. - The below variables may need to be set by the user in the `Makefile` before compiling: ```makefile # Set the CUDA version. CUDA_VER:=10 # Name of the file with the custom bounding box parser function. SRCFILES:=nvdsparsebbox_tiny_yolo.cpp # Name of the shared library file to be created after compilation. TARGET_LIB:=libnvdsinfer_custom_bbox_tiny_yolo.so # Path to the DeepStream SDK. REPLACE /path/to with the location in your Jetson Nano. DEEPSTREAM_PATH:=/path/to/deepstream_sdk_v4.0_jetson ``` > Note: If no changes were made to the code by the user, and the blog was followed to set up Jetson Nano and DeepStream, then only the **DEEPSTREAM_PATH** variable may need to be set before compilation. Default values can be used for the other three variables. - Once the variables are set, save the `Makefile`. Compile the custom bounding box parsing function using: `make -C custom_bbox_parser`. ### Step 5: Launching DeepStream. - Download the `sample.tar.gz` from this [drive link](https://drive.google.com/open?id=1kZERLw2y9ig9nVwvTPrFOrI5VOTri3d7). Extract the `vids` directory into the `Deep-Stream-ONNX` directory. - You can launch DeepStream using the following command: ```bash deepstream-app -c ./config/deepstream_app_custom_yolo.txt ``` - You can edit the config files inside the `config` to alter various settings. You can refer to the [blog](https://towardsdatascience.com/how-to-deploy-onnx-models-on-nvidia-jetson-nano-using-deepstream-b2872b99a031) for resources on understanding the various properties inside the config files.