HuggingFace utilities for Ultralytics/YOLOv8.
Project description
ultralytics+
Extra features for ultralytics/ultralytics.
installation
pip install ultralyticsplus
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ultralyticsplus --exp_dir runs/detect/train --hf_model_id HF_USERNAME/MODELNAME
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from ultralyticsplus import YOLO, render_predictions
# load model
model = YOLO('HF_USERNAME/MODELNAME')
# set model parameters
model.overrides['conf'] = 0.25 # NMS confidence threshold
model.overrides['iou'] = 0.45 # NMS IoU threshold
model.overrides['agnostic_nms'] = False # NMS class-agnostic
model.overrides['max_det'] = 1000 # maximum number of detections per image
# set image
img = 'https://github.com/ultralytics/yolov5/raw/master/data/images/zidane.jpg'
# perform inference
for result in model.predict(img, imgsz=640, return_outputs=True):
print(result["det"]) # [[x1, y1, x2, y2, conf, class]]
render = render_predictions(model, img=img, det=result["det"])
render.show()
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