Comments (1)
I am not running the ./main from inside docker
You can't run a binary linked against shared libs from your container on your host if those libraries are not installed on your host. Install all dependencies and compile on your host to run on host or just run inside docker like described in the README.
from yolov4-triton-tensorrt.
Related Issues (20)
- tritonclient.utils.InferenceServerException: [StatusCode.UNIMPLEMENTED] HOT 1
- yolov4-tiny model accuracy not right HOT 2
- Facing problem to create "engine" HOT 8
- C++ client produces no detections HOT 8
- multiple model instances issue HOT 15
- Feature: Import darknet weights instead of pytorch .wts HOT 1
- unexpected inference input 'data' HOT 2
- TensorRT 8 Support HOT 11
- Unexpected inference output 'detections' for model 'yolov4' HOT 1
- Dynamic batcing inference time HOT 1
- Support for TensorRT8 HOT 1
- [QUESTIONS] .wts file and plugin file HOT 3
- where is test time? HOT 1
- Can I use this repo to use custom trained yolo-v4 with single class HOT 1
- mismatch in postprocess func HOT 9
- Triton Inference Server taking adding 3 seconds to get YOLOv4 Inference HOT 7
- How can I generate batch=5 engine? HOT 1
- error: creating server: Internal - failed to load all models - NVIDIA Triton Server for YOLOv4 HOT 1
- Error : ld cannot find -lcudart HOT 2
- tritonclient.utils.InferenceServerException: [StatusCode.UNAVAILABLE] failed to connect to all addresses HOT 2
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