yolo11s_colorful-chameleon_v3.0.0

1
license:apache-2.0
by
pyronear
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OTHER
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Quick Summary

AI model with specialized capabilities.

Code Examples

🔧 Inferencepython
from ultralytics import YOLO

model = YOLO("best.pt")  # or path to your model
results = model.predict(source="image.jpg", imgsz=1024, conf=0.25)
results.show()  # Display results with smoke bounding boxes
🔧 Inferencepython
from ultralytics import YOLO

model = YOLO("best.pt")  # or path to your model
results = model.predict(source="image.jpg", imgsz=1024, conf=0.25)
results.show()  # Display results with smoke bounding boxes
Load imagepythononnx
from PIL import Image
from pyroengine.vision import Classifier

# Load image
img = Image.open("your_image.jpg")

# Load classifier (auto-downloads model from Hugging Face if needed)
clf = Classifier(format="onnx", conf=0.15, model_folder="data")  # or format="ncnn"

# Run inference
preds = clf(img)

# preds is a NumPy array of shape (N, 5): [x1, y1, x2, y2, confidence]
print(preds)
Load imagepythononnx
from PIL import Image
from pyroengine.vision import Classifier

# Load image
img = Image.open("your_image.jpg")

# Load classifier (auto-downloads model from Hugging Face if needed)
clf = Classifier(format="onnx", conf=0.15, model_folder="data")  # or format="ncnn"

# Run inference
preds = clf(img)

# preds is a NumPy array of shape (N, 5): [x1, y1, x2, y2, confidence]
print(preds)

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