open-edge-platform/geti

1

geti-using-the-pipeline Use the Geti application end to end through its REST API — the project → dataset → annotate → train → deploy pipeline…

open-edge-platform/geti

68

2

getitune-discovering-models Discover which models, recipes, and tasks the getitune library (the Geti training library) supports before training. …

open-edge-platform/geti

68

3

getitune-exporting-a-model Export a trained getitune model (the Geti training library) to a deployable format. Use when a user wants to run `eng…

open-edge-platform/geti

68

4

getitune-optimizing-a-model Optimize an exported getitune model (the Geti training library) with post-training quantization. Use when a user want…

open-edge-platform/geti

68

5

getitune-preparing-datasets Prepare and point datasets at the getitune library (the Geti training library) for training, testing, and prediction.…

open-edge-platform/geti

68

6

getitune-running-inference Run inference and evaluation with a getitune model (the Geti training library). Use when a user wants to call `engine…

open-edge-platform/geti

68

7

getitune-training-a-model Train a computer-vision model with the getitune library (the Geti training library) using its Python API or CLI. Use …

open-edge-platform/geti

68