guides/deepstream-nvidia-jetson/

[giscus[bot]]

guides/deepstream-nvidia-jetson/

Learn how to deploy Ultralytics YOLOv8 on NVIDIA Jetson devices using TensorRT and DeepStream SDK. Explore performance benchmarks and maximize AI capabilities.

https://docs.ultralytics.com/guides/deepstream-nvidia-jetson/

[AgbajeAyomipo]

I have just done everything as I've seen, apparently i can't seem to run inference:
** ERROR: <parse_config_file:642>: parse_config_file failed
** ERROR: main:697: Failed to parse config file 'deepstream_app_config.txt'

Quitting
App Run Failed

[glenn-jocher]

@AgbajeAyomipo hi there!

Thank you for reaching out. It looks like you're encountering an issue with parsing the deepstream_app_config.txt file. This error typically indicates that there might be a syntax error or misconfiguration in your config file.

Here are a few steps to help troubleshoot and resolve the issue:

1. Verify Config File Syntax: Ensure that the deepstream_app_config.txt file is correctly formatted. Even a small typo can cause parsing errors. Double-check all paths, parameters, and ensure there are no missing or extra characters.

2. Example Config File: If possible, compare your config file with a working example. Here’s a basic structure for reference:

   [primary-gie]
   enable=1
   gpu-id=0
   config-file=config_infer_primary_yoloV8.txt
   ...
   
   [source0]
   enable=1
   type=3
   uri=file:///opt/nvidia/deepstream/deepstream/samples/streams/sample_1080p_h264.mp4
   ...

3. Check File Paths: Ensure that all file paths specified in the config file are correct and accessible. This includes paths to the ONNX model, video source, and any other referenced files.

4. Dependencies and Versions: Make sure you have installed all necessary dependencies and that you are using compatible versions of DeepStream SDK and JetPack. Refer to the DeepStream Configuration for YOLOv8 for detailed instructions.

5. Reproducible Example: If the issue persists, providing a minimum reproducible example can greatly help in diagnosing the problem. You can find guidance on creating one here.

6. Latest Versions: Ensure you are using the latest versions of the packages. Sometimes, issues are resolved in newer releases.

Here’s a quick example to ensure your setup is correct:

# Clone the repository
git clone https://github.com/marcoslucianops/DeepStream-Yolo
cd DeepStream-Yolo

# Convert YOLOv8 model to ONNX
python3 utils/export_yoloV8.py -w yolov8s.pt --opset 12 --simplify

# Compile the library
make -C nvdsinfer_custom_impl_Yolo clean && make -C nvdsinfer_custom_impl_Yolo

# Edit config files as needed
# Run inference
deepstream-app -c deepstream_app_config.txt

If you follow these steps and still encounter issues, please share more details or any specific error messages you receive. This will help us assist you more effectively.

Best of luck, and feel free to reach out if you have any more questions! 😊

[AgbajeAyomipo]

Thanks for the reply, i fixed it already

I was not in the directory when i ran the command apparently.

[glenn-jocher]

Hi @AgbajeAyomipo,

Thank you for the update! I'm glad to hear that you were able to resolve the issue by running the command from the correct directory. It's a common oversight, and it happens to the best of us. 😊

If you have any further questions or run into any other issues, feel free to reach out. We're here to help!