sztuczna-empatia-kaczuszka/lab8/zad8_1emotions.ipynb

!pip install fer

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Installing collected packages: facenet-pytorch, fer
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# Przykładowy kod do rozpoznawania emocji za pomocą biblioteki fer, OpenCV i TensorFlow

import cv2
import numpy as np
import matplotlib.pyplot as plt
from fer import FER

# Wczytanie obrazu
def get_emotions(image_path):
    image_path
    image = cv2.imread(image_path)

    # Inicjalizacja detektora emocji
    detector = FER()

    # Wykrycie twarzy na obrazie
    faces = detector.detect_emotions(image)

    # Wyświetlenie wyników
    plt.imshow(cv2.cvtColor(image, cv2.COLOR_BGR2RGB))
    plt.axis("off")

    for face in faces:
        x, y, w, h = face["box"]
        emotions = face["emotions"]

        # Wyświetlenie wykrytych emocji
        for emotion, score in emotions.items():
            text = f"{emotion}: {score:.2f}"
            plt.text(x, y, text, backgroundcolor="white")
            y += 20

    plt.show()

get_emotions("/content/happy.png")

get_emotions("/content/angry.png")

get_emotions("/content/scared.png")

get_emotions("/content/sad.png")

get_emotions("/content/neutral.png")

get_emotions("/content/suprise.png")