How to Use
To use this model in your project, follow the steps below:
1. Installation
Ensure you have the ultralytics
library installed, which is used for YOLO models:
pip install ultralytics
# classs
angry
happy
neutral
sad
2. Load the Model
You can load the model and perform detection on an image as follows:
from ultralytics import YOLO
# Load the model
model = YOLO("./yolo11x-face-emotion.pt")
# Perform detection on an image
results = model("image.png")
# Display or process the results
results.show() # This will display the image with detected objects
3. Model Inference
The results object contains bounding boxes, labels, and confidence scores for each detected object.
Access them like this:
# View results
for r in results:
print(r.probs) # print the Probs object containing the detected class probabilities
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