Ssis00338.mp4 ★ Verified & Fast

# For simplicity, let's assume 'video_tensor' is your video data in a tensor format # Get feature feature = model(video_tensor)

# Load and transform video... # This part is highly specific to your video loading and transformation needs SSIS00338.mp4

pip install opencv-python You can extract basic features such as video duration, frame rate, and frame count. # For simplicity, let's assume 'video_tensor' is your

# Transform transform = transforms.Compose([ transforms.Resize((112, 112)), transforms.ToTensor(), transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]) ]) # For simplicity

# Load model model = video.r3d_18(pretrained=True)

import cv2

# Assuming you have a video file and want to extract a feature vector