ModuleNotFoundError: No module named 'ultralytics.data' while uploading weights

🤝 Community Help
1

I am trying to upload my YOLOV8 weights to roboflow.

I keep getting this error.

Here is a bit more of the error

loading Roboflow workspace…
loading Roboflow project…
Traceback (most recent call last):
File “/Users/boazburnett/PycharmProjects/Roboflow Testing/main.py”, line 6, in
project.version(3).deploy(model_type=“yolov8”, model_path=“/Users/boazburnett/PycharmProjects/Roboflow Testing/runs/classify/train”)
File “/Users/boazburnett/PycharmProjects/Roboflow Testing/venv/lib/python3.9/site-packages/roboflow/core/version.py”, line 478, in deploy
model = torch.load(os.path.join(model_path, “weights/best.pt”))
File “/Users/boazburnett/PycharmProjects/Roboflow Testing/venv/lib/python3.9/site-packages/torch/serialization.py”, line 809, in load
return _load(opened_zipfile, map_location, pickle_module, **pickle_load_args)
File “/Users/boazburnett/PycharmProjects/Roboflow Testing/venv/lib/python3.9/site-packages/torch/serialization.py”, line 1172, in _load
result = unpickler.load()
File “/Users/boazburnett/PycharmProjects/Roboflow Testing/venv/lib/python3.9/site-packages/torch/serialization.py”, line 1165, in find_class
return super().find_class(mod_name, name)
ModuleNotFoundError: No module named ‘ultralytics.data’

And my code

from roboflow import Roboflow
rf = Roboflow(api_key=“secret”)
project = rf.workspace(“boaztheostrich”).project(“cartest-tyaur”)

dataset = project.version(3).download(“yolov8”)

project.version(3).deploy(model_type=“yolov8”, model_path=“/Users/boazburnett/PycharmProjects/Roboflow Testing/runs/classify/train”)

Thanks

2

The error you’re encountering seems to be related to the PyTorch library not being able to find the ‘ultralytics.data’ module. This issue is not directly related to Roboflow but rather to the dependencies of your YOLOv8 model.

However, to upload your YOLOv8 weights to Roboflow, you can follow these steps:

  1. Ensure that you have the correct version of the Roboflow Python package. You need the roboflow>=1.0.1 Python package version to use the .deploy() command (source).

  2. Make sure your weights are in the correct directory. According to the Roboflow blog, the weights should be in the “/runs/detect/train/weights/best.pt” folder of your project.

  3. Use the following code to upload your weights:

from roboflow import Roboflow

rf = Roboflow(api_key="API_KEY")
project = rf.workspace().project("PROJECT_ID")
project.version(DATASET_VERSION).deploy(model_type="yolov8", model_path=f"./runs/detect/train/")

Replace “API_KEY”, “PROJECT_ID”, and “DATASET_VERSION” with your actual API key, project ID, and dataset version respectively.

If you continue to encounter issues, it might be helpful to check the Roboflow documentation or reach out to their support for further assistance.

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3

Hi Lenny,

That didn’t solve my issue you just gave me the code I already had.

I am using roboflow version 1.1.3

4

Hi @Boaztheostrich ! I’ve seen this error when the version of ultralytics I’m using with the roboflow python package doesn’t match the version of ultralytics I used to train my model.

5

Hi @Paul thanks for the response! I think that was the solution however I am now getting an error code talking about nc?

It relates to this code within version.py

    if "yolov8" in model_type:
        # try except for backwards compatibility with older versions of ultralytics
        if "-cls" in model_type:
            nc = model["model"].yaml["nc"]
            args = model["train_args"]
        else:
            nc = model["model"].nc
            args = model["model"].args
        try:
            model_artifacts = {
                "names": class_names,
                "yaml": model["model"].yaml,
                "nc": nc,
                "args": {
                    k: val
                    for k, val in args.items()
                    if ((k == "model") or (k == "imgsz") or (k == "batch"))
                },
                "ultralytics_version": ultralytics.__version__,
                "model_type": model_type,
            }

When I changed the model name to “yolov8-cls” it did successfully upload however all of my predictions were at 0% MAP etc.

Any help would be appreciated