tumourkit.segmentation.hovernet.run_infer

run_infer.py

Usage:

run_infer.py [options] [–help] <command> [<args>…] run_infer.py –version run_infer.py (-h | –help)

Options:

-h –help Show this string. –version Show version.

--gpu=<id>

GPU list. [default: 0]

--nr_types=<n>

Number of nuclei types to predict. [default: 0]

--type_info_path=<path>

Path to a json define mapping between type id, type name, and expected overlaid color. [default: ‘’]

--model_path=<path>

Path to saved checkpoint.

--model_mode=<mode>

Original HoVer-Net or the reduced version used PanNuke and MoNuSAC, ‘original’ or ‘fast’. [default: fast]

--shape=<shape>

Either 270 or 518.

--nr_inference_workers=<n>

Number of workers during inference. [default: 8]

--nr_post_proc_workers=<n>

Number of workers during post-processing. [default: 16]

--batch_size=<n>

Batch size per 1 GPU. [default: 32]

Two command mode are tile and wsi to enter corresponding inference mode

tile run the inference on tile wsi run the inference on wsi

Use run_infer.py <command> –help to show their options and usage.

Module attributes

wsi_cli

Copyright (C) 2023 Jose Pérez Cano

Functions

main

main_with_args