🔒 mediapipe

[lament spear]

Help please. Cod don't open

import cv2
import mediapipe as mp
import time

Инициализируем видео захват

cap = cv2.VideoCapture(0)

if not cap.isOpened():
print("Ошибка: не удалось открыть камеру.")
exit()

Инициализируем модуль Hands из MediaPipe

mp_hands = mp.solutions.hands
hands = mp_hands.Hands(static_image_mode=False, max_num_hands=2, min_detection_confidence=0.5, min_tracking_confidence=0.5)
mp_draw = mp.solutions.drawing_utils

pTime = 0 # Предыдущее время для FPS расчета

while True:
success, img = cap.read()
if not success:
print("Не удалось считать кадр с камеры.")
break

# Применяем размытие для снижения шумов
img = cv2.GaussianBlur(img, (5, 5), 0)

# Переводим изображение в RGB
img_rgb = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
results = hands.process(img_rgb)

# Проверяем, найдены ли руки
if results.multi_hand_landmarks:
    for handLms in results.multi_hand_landmarks:
        # Проходим по точкам (landmarks)
        for id, lm in enumerate(handLms.landmark):
            h, w, c = img.shape  # Высота, ширина, каналы изображения
            cx, cy = int(lm.x * w), int(lm.y * h)  # Координаты точки

            # Отмечаем определенные точки
            if id == 0:  # Основание ладони
                cv2.circle(img, (cx, cy), 10, (255, 0, 255), cv2.FILLED)

        # Отображаем соединения между точками
        mp_draw.draw_landmarks(img, handLms, mp_hands.HAND_CONNECTIONS)

# Рассчитываем и отображаем FPS
cTime = time.time()
fps = 1 / max((cTime - pTime), 1e-6)  # Защита от деления на 0
pTime = cTime

cv2.putText(img, f'FPS: {int(fps)}', (10, 70),
            cv2.FONT_HERSHEY_PLAIN, 3, (255, 0, 255), 3)

# Показываем изображение
cv2.imshow("Image", img)
if cv2.waitKey(1) & 0xFF == ord('q'):
    break

Освобождаем ресурсы

hands.close() # Закрываем MediaPipe Hands
cap.release()
cv2.destroyAllWindows()

[midnight lava]

@lament spear

Python help channel opened

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[midnight lava]

@lament spear

Python help channel closed for inactivity

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