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datasetcreation.py
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datasetcreation.py
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import os
import mediapipe as mp
import cv2
import matplotlib.pyplot as plt
import pickle
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 = []
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:
mp_drawing.draw_landmarks(
img_rgb, #draw what?
hand_landmarks, #model output
mp_hands.HAND_CONNECTIONS, #hadn connections
mp_drawing_styles.get_default_hand_landmarks_style(),
mp_drawing_styles.get_default_hand_connections_style())
for i in range(len(hand_landmarks.landmark)):
print(hand_landmarks.landmark[i])
x = hand_landmarks.landmark[i].x
y = hand_landmarks.landmark[i].y
data_aux.append(x)
data_aux.append(y)
#data_aux.append([x,y])
data.append(data_aux)
labels.append(dir)
# plt.figure()
# plt.imshow(img_rgb)
#plt.show()
f = open('data.pickle','wb')
pickle.dump({'data': data, 'labels': labels}, f)
f.close()