create_dataset.py

import os
import pickle
from pathlib import Path
import mediapipe as mp
import cv2
import matplotlib.pyplot as plt
import numpy as np


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 = []

        x_ = []
        y_ = []

        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 not (results.multi_hand_landmarks is None):
                n = len(results.multi_hand_landmarks)
                if n == 1:
                    try:
                        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
                                  x_.append(x)
                                  y_.append(y)
                             for i in range(len(hand_landmarks.landmark)):
                                   x = hand_landmarks.landmark[i].x
                                   y = hand_landmarks.landmark[i].y
                                   data_aux.append(x - min(x_))
                                   data_aux.append(y - min(y_))
                        data.append(data_aux)
                        labels.append(dir_)


                    except:
                            data_aux(np.zeros([1,63], dtype=int)[0])







f = open('onehand.pickle', 'wb')
pickle.dump({'data': data, 'labels': labels}, f)
f.close()