Instructions to use camstack/camstack-trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use camstack/camstack-trainer with ultralytics:
from huggingface_hub import hf_hub_download from ultralytics import YOLO # pick the weights file from this repo's "Files and versions" tab weights = hf_hub_download("camstack/camstack-trainer", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
File size: 302 Bytes
ebeed67 | 1 2 3 4 5 6 7 | """CamStack detector evaluation harness (cloud-training P5).
Pipeline-identical preprocess and decode for YOLO ONNX detectors, P/R/AP50 per
macro class, camera, day/night and small subjects, a baseline vs candidate
comparison on a holdout, and the D739 floor rule. See `scripts/eval/evaluate.py`.
"""
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