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feliperafael/amy_yolo_model_pantene
amy_yolo_model_pantene is a image classification model from feliperafael. Use it when you need a label for an image. It is set up for ultralytics.
<div align="center" <img width="640" alt="feliperafael/amyyolomodelpantene" src="https://huggingface.co/feliperafael/amyyolomodelpantene/resolve/main/thumbnail.jpg" </div
Downloads · 30 days
21
15% of all-time downloads
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From the Hugging Face model README
['pantene']
pip install ultralyticsplus==0.0.29 ultralytics==8.0.239
from ultralyticsplus import YOLO, postprocess_classify_output
# load model
model = YOLO('feliperafael/amy_yolo_model_pantene')
# set model parameters
model.overrides['conf'] = 0.25 # model confidence threshold
# 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].probs) # [0.1, 0.2, 0.3, 0.4]
processed_result = postprocess_classify_output(model, result=results[0])
print(processed_result) # {"cat": 0.4, "dog": 0.6}