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Programa que detecta caras en la camara con python opencv y un modelo preentrenado.
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How to preprocess raw video dataset into frame sequences for consistent training in cv2 and python 🔥
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An amazing underwater exploration of the USS Lexington CV-2! #usslexington #cv2 #boneyardsafari
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Code Vein 2 feels like the first post-Elden Ring Soulslike to try something of a similar scale
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Programa que aplique un filtro de escala de grises a la camara
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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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