create_dataset.py

import os
import cv2
import matplotlib.pyplot as plt
import mediapipe as mp
import pickle  # Add this import statement for the pickle module

mp_hands = mp.solutions.hands
mp_drawing = mp.solutions.drawing_utils
mp_drawing_styles = mp.solutions.drawing_styles

hands = mp_hands.Hands(static_image_mode=True, min_detection_confidence=0.3)

DATA_DIR = './data'

data = []
labels = []

for dir_ in os.listdir(DATA_DIR):
    for img_path in os.listdir(os.path.join(DATA_DIR, dir_)):
        data_aux = []  # Initialize data_aux inside the loop
        img = cv2.imread(os.path.join(DATA_DIR, dir_, img_path))
        img_rgb = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
        
        results = hands.process(img_rgb)
        
        if results.multi_hand_landmarks:
            for hand_landmarks in results.multi_hand_landmarks:
                for i in range(len(hand_landmarks.landmark)):
                    x = hand_landmarks.landmark[i].x
                    y = hand_landmarks.landmark[i].y
                    data_aux.append(x)
                    data_aux.append(y)
                    
                data.append(data_aux)
                labels.append(dir_)

# Save the data and labels to a pickle file
with open('data.pickle', 'wb') as f:
    pickle.dump({'data': data, 'labels': labels}, f)