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Programa que detecta caras en la camara con python opencv y un modelo preentrenado.
Programa que detecta caras en la camara con python opencv y un modelo preentrenado. import cv2 # Cargar el clasificador preentrenado para detección de caras face_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + 'haarcascade_frontalface_default.xml') # Iniciar la captura de video desde la cámara web cap = cv2.VideoCapture(0) while True ...
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Programa que detecte ojos de una persona con la camara usando python import cv2 # Cargar el clasificador preentrenado para detección de ojos eye_cascade = cv2.CascadeClassifier(cv2.data.haarcascades 'haarcascade_eye.xml') # Iniciar la captura de video desde la cámara web cap = cv2.VideoCapture(0) while True: ret, frame = cap.read() if not ret: break # Convertir el frame a escala de grises para la detección gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY) # Detectar ojos en el frame eyes = eye_casc
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Programa que detecte ojos de una persona con la camara usando python import cv2 # Cargar el clasificador preentrenado para detección de ojos eye_cascade = cv2.CascadeClassifier(cv2.data.haarcascades 'haarcascade_eye.xml') # Iniciar la captura de video desde la cámara web cap = cv2.VideoCapture(0) while True: ret, frame = cap.read() if not ret: break # Convertir el frame a escala de grises para la detección gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY) # Detectar ojos en el frame eyes = eye_casc
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Programa que aplique un filtro de escala de grises a la camara import cv2 cap = cv2.VideoCapture(0) while True: ret, frame = cap.read() if not ret: break # Convertir el frame de BGR a Escala de Grises gray_frame = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY) # Mostrar la imagen en escala de grises cv2.imshow('Filtro de Escala de Grises', gray_frame) if cv2.waitKey(1) & 0xFF == ord('q'): break cap.release() cv2.destroyAllWindows() # Explicación: El programa captura video desde la cámara web y conviert
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import cv2 import numpy as np import random def datamosh(video_path, output_path, corruption_level=0.3, keyframe_interval=10): cap = cv2.VideoCapture(video_path) fourcc = cv2.VideoWriter_fourcc(*'XVID') fps = int(cap.get(cv2.CAP_PROP_FPS)) width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH)) height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT)) out = cv2.VideoWriter(output_path, fourcc, fps, (width, height)) frame_buffer = [] frame_count = 0 while cap.isOpened(): ret, frame = cap.read() if not ret: break i
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