Result of model.predict has type ClassificationModel, no keypoints.

[LinasKo]

Tested on several projects:

• Glue tube keypoints: https://app.roboflow.com/model-examples/glue-tube-keypoints
• Football pitch recognition below.

pip install supervision roboflow

version = rf.workspace("roboflow-jvuqo").project("football-field-detection-f07vi").version(8)
version.download("yolov8")
kp_model = version.model
assert kp_model is not None

first_image_path = os.listdir(f"{dataset.location}/train/images")[0]
first_image_path = f"{dataset.location}/train/images/{first_image_path}"

result = kp_model.predict(first_image_path).json()

# Fails
keypoints = sv.KeyPoints.from_inference(result)