Running Triton Container

[kwayne-08]

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Question

I am attempting to use the Triton server for inference on YOLOv8 models, and I'm using the document "Triton Inference Server with Ultralytics YOLOv8" for guidance. The process has moved along smoothly until I attempt to run the Triton container using the command: f"docker run -d --rm -v {triton_repo_path}:/models -p 8000:8000 {tag} tritonserver --model-repository=/models"

The container runs with error using this command, but when I go to the next step to run inference using: model = YOLO("http://localhost:8000/yolo", task="detect")

Run inference on the server

results = model("path/to/image.jpg")

I get the message that the model yolo cannot be found. When I run docker exec on the container using ls to list contents, there is no models folder to be found which should have been created with the run command. I have altered the "triton_repo_path" in a number of ways to be sure of the accuracy, but I get an error when it isn't formatted as I'm using it in the command. So I can't figure out what I might be doing wrong.

Additional

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[kwayne-08]

Thank you for a quick response and detailed help. It worked. Though I
had to modify my host-side path slightly, I believe the real issue was the file permissions.

Wayne

On 2024-07-15 22:55, Paula Derrenger wrote:

@kwayne-08 [1] hi there,

Thank you for reaching out and providing detailed information about your issue. It sounds like you're on the right track with setting up the Triton Inference Server for YOLOv8 models. Let's troubleshoot the problem you're encountering.

First, ensure that the triton_repo_path is correctly set and that it contains the necessary model files. The triton_repo_path should point to a directory on your host machine that contains the model repository structured as expected by Triton.

Here's a checklist to help you verify:

*

Model Repository Structure: Ensure that your model repository directory (triton_repo_path) has the correct structure. It should look something like this:

/path/to/triton_repo/ └── yolo/ ├── 1/ │ └── model.onnx └── config.pbtxt

*

Docker Command: Make sure the Docker command is correctly formatted. Here's an example:

docker run -d --rm -v /path/to/triton_repo:/models -p 8000:8000 nvcr.io/nvidia/tritonserver:latest tritonserver --model-repository=/models

*

Permissions: Ensure that the directory and files in triton_repo_path have the appropriate permissions for Docker to access them. *

Logs: Check the logs of the Triton container for any errors that might indicate why the model repository is not being recognized. You can view the logs using:

docker logs

*

Model URL: Verify that the model URL in your inference code is correct. It should match the model name in your Triton repository. For example, if your model directory is named yolo, the URL should be:

model = YOLO("http://localhost:8000/yolo", task="detect")

If the issue persists after these checks, please ensure you are using the latest versions of all relevant packages and the Triton server. Sometimes, updates can resolve unexpected issues.

Feel free to share any additional logs or error messages if the problem continues. We're here to help!

-- Reply to this email directly, view it on GitHub [2], or unsubscribe [3]. You are receiving this because you were mentioned.Message ID: @.***>

Links:

[1] https://github.com/kwayne-08 [2] https://github.com/ultralytics/hub/issues/767#issuecomment-2229959049 [3] https://github.com/notifications/unsubscribe-auth/ADI6GPHEN3L6WFAFDTQHDXTZMSKSTAVCNFSM6AAAAABK5HU4J6VHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZDEMRZHE2TSMBUHE --=_9c75d9ff6be0336424736a7410481ab5 Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset=UTF-8

Thank you for a quick response and detailed help. It worked. Though I&nb= sp; had to modify my host-side path slightly, I believe the real issue was = the file permissions.

Wayne

On 2024-07-15 22:55, Paula Derrenger wrote:

hi there,

Thank you for reaching out and providing detailed informati= on about your issue. It sounds like you're on the right track with setting = up the Triton Inference Server for YOLOv8 models. Let's troubleshoot the pr= oblem you're encountering.

First, ensure that the triton= _repo_path is correctly set and that it contains the necessary model= files. The triton_repo_path should po= int to a directory on your host machine that contains the model repository = structured as expected by Triton.

Here's a checklist to help you verify:

1. Model Repository Structure: Ensure that yo= ur model repository directory (triton_repo_pa= th) has the correct structure. It should look something like this:

   /path/to/triton_=
   repo/
   =E2=94=94=E2=94=80=E2=94=80 yolo/
       =E2=94=9C=E2=94=80=E2=94=80 1/
       =E2=94=82   =E2=94=94=E2=94=80=E2=94=80 model.onnx
       =E2=94=94=E2=94=80=E2=94=80 config.pbtxt
   

2. Docker Command: Make sure the Docker comma= nd is correctly formatted. Here's an example:

   docker run -d --rm -v /path/to/triton_repo:/mo=
   dels -p 8000:8000 nvcr.io/nvidia/tritonserver:latest tritonserver --model-r=
   epository=3D/models

3. Permissions: Ensure that the directory and= files in triton_repo_path have the ap= propriate permissions for Docker to access them.

4. Logs: Check the logs of the Triton contain= er for any errors that might indicate why the model repository is not being= recognized. You can view the logs using:

   docker logs <=
   container_id>

5. Model URL: Verify that the model URL in yo= ur inference code is correct. It should match the model name in your Triton= repository. For example, if your model directory is named yolo, the URL should be:

   model =3D YOLO("http://localhost:8000/yolo", task<=
   /span>=3D"detect")

If the issue persists after these checks, please ensure you= are using the latest versions of all relevant packages and the Triton serv= er. Sometimes, updates can resolve unexpected issues.

Feel free to share any additional logs or error messages if= the problem continues. We're here to help!

—
Reply to this email directly, view it on GitHub, or unsubscribe.
You are recei= ving this because you were mentioned.Message ID: <ultra= lytics/hub/issues/767/2229959049@github.com>

--=_9c75d9ff6be0336424736a7410481ab5--