Neural networks

Smart Prediction

To run Smart Prediction with a specific model:

raw_images = sa.search_items(
  project = "Cityscapes", 
  annotation_status = "NotStarted")

succeeded, failed = sa.run_prediction(
  project = "Cityscapes", 
  images_list = raw_images,
  model = "Cityscapes Segmentation Model")

This function logs the progress bar which shows the number of images that were predicted successfully.

Download model

To download the trained model and its metadata:

  model = "Cityscapes Segmentation Model", 
  output_dir = "./models")

The downloaded model directory contains trained model weights and a configuration file on the model architecture.


Model deployment tutorials

Check out our GitHub repository for model deployment tutorials on edge devices like Jetson Nano and OAK-D.