Simple Web Server
  • Home
  • General
  • Guides
  • Reviews
  • News
Download
Documentation
  • Reveries
  • 8liam.7z
  • 78875x
  • Ma.7z
  • Breast
GitHub
    • Server Options
    • App Settings
    • Editing config.json
    • Using HTTPS
    • Viewing logs
    • Building from source
    • Coming from Web Server for Chrome?
    • Introduction to plugins
    • Plugin manifest file
    • Plugin script
    • Advanced configuration using .swshtaccess files
    • Using custom scripts
    • Creating a custom request handler

Da (3).mp4 Today

# Add batch dimension tensor_frame = tensor_frame.unsqueeze(0)

# Move to GPU if available device = torch.device('cuda' if torch.cuda.is_available() else 'cpu') tensor_frame = tensor_frame.to(device) model.to(device) da (3).mp4

# Read video video_capture = cv2.VideoCapture('da (3).mp4') # Add batch dimension tensor_frame = tensor_frame

# Get features with torch.no_grad(): features = model(tensor_frame) da (3).mp4

# Load a pre-trained model model = torchvision.models.resnet50(pretrained=True) model.eval() # Set to evaluation mode