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Yolo11n Basketball Court Keypoints

Fine-tuned yolo11n-pose.pt on koppolusameer/basketball-keypoint-detection-yolov8 (48-slot court skeleton) to detect court landmarks in broadcast frames.

TipoOtherVersãoRevision 6cb8992Bnota

Fonte do modelo

Tipo
Other
Tamanho do arquivo
7,57 MB
Versão
vRevision 6cb8992
Atualizado
10 de out. de 2026
Downloads
126
Fonte
Hugging Face

Descrição da fonte

YOLO11n basketball court keypoint detector

Fine-tuned yolo11n-pose.pt on koppolusameer/basketball-keypoint-detection-yolov8 (48-slot court skeleton) to detect court landmarks in broadcast frames.

Outputs keypoints in PIXEL coordinates. Converting to court coordinates (homography) is a separate downstream step requiring an index->court-location map.

Load & run

from ultralytics import YOLO
from huggingface_hub import hf_hub_download
weights = hf_hub_download("koppolusameer/yolo11n-basketball-court-keypoints", "best.pt")
model = YOLO(weights)
r = model("frame.jpg")[0]
kxy   = r.keypoints.xy[0].cpu().numpy()    # (48,2) pixel coords
kconf = r.keypoints.conf[0].cpu().numpy()  # (48,) confidence

Fontes

1 fonte
Hugging FacePrimárioVersão 6cb899251439982067a81baa225b33f45f335981
huggingface.co/koppolusameer/yolo11n-basketball-court-keypoints/tree/6cb899251439982067a81baa225b33f45f335981

Verificado 10 de out.

Artefatos de modelo

1 artefato

best.pt

pt · 7,57 MB · SHA-256 68e5faf5fb53…0064 · Hugging Face

Download file

Trechos de fonte

3 trechos

--- license: agpl-3.0 tags: [ultralytics, yolo11, pose, keypoint-detection, basketball, court-registration] library_name: ultralytics --- # YOLO11n basketball court keypoint detector Fine-tuned `yolo11n-pose.pt` on `koppolusameer/basketball-keypoint-detection-yolov8` (48-slot court skeleton) to detect court landmarks in broadcast frames. Outputs keypoints in PIXEL coordinates. Converting to court coordinates (homography) is a separate downstream step requiring an index->court-location map. ## Load & run ```python from ultralytics import YOLO from huggingface_hub import hf_hub_download weights = hf_hub_download("koppolusameer/yolo11n-basketball-court-keypoints", "best.pt") model = YOLO(weights) r = model("frame.jpg")[0] kxy = r.keypoints.xy[0].cpu().numpy() # (48,2) pixel coords kconf = r.keypoints.conf[0].cpu().numpy() # (48,) confidence ```

Source context: 126 downloads · 0 likes · Pipeline keypoint-detection · Library ultralytics · Repo koppolusameer/yolo11n-basketball-court-keypoints

Source context: 70 downloads · 0 likes · Pipeline keypoint-detection · Library ultralytics · Repo koppolusameer/yolo11n-basketball-court-keypoints