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:
sa.download_model(
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.
Updated over 1 year ago