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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