downy_fragrancias

<div align="center"> <img width="640" alt="feliperafael/downy_fragrancias" src="https://huggingface.co/feliperafael/downy_fragrancias/resolve/main/thumbnail.jpg"> </div>

Supported Labels

['Adoravel', 'Agua Fresca', 'Brisa Intenso', 'Brisa de Verao', 'Coco e Menta', 'Frescor da Primavera', 'Liberdade', 'Lirios do campo', 'Mistico', 'Paixao', 'Perfume Collection Adoravel', 'Primavera', 'Sensitive Hipoalergenico', 'Sports']

How to use

• Install ultralyticsplus:

pip install ultralyticsplus==0.0.29 ultralytics==8.0.239

• Load model and perform prediction:

from ultralyticsplus import YOLO, render_result

# load model
model = YOLO('feliperafael/downy_fragrancias')

# 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
image = 'https://github.com/ultralytics/yolov5/raw/master/data/images/zidane.jpg'

# perform inference
results = model.predict(image)

# observe results
print(results[0].boxes)
render = render_result(model=model, image=image, result=results[0])
render.show()