Skip to content

sciai-lab/YeastCellSeg

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

6 Commits
 
 
 
 
 
 
 
 

Repository files navigation

YeastInference

Installation

These instructions have only been tested on Ubuntu and Macintosh, but should also work on other operating systems.

  1. Install Miniconda with python 3.7

  2. Create a new conda environment and activate it:

    conda create -n yeast-env python
    conda activate yeast-env 
    
  3. Install pytorch-cpu:

    On Windows & Linux:

    conda install pytorch torchvision cpuonly -c pytorch
    

    On Mac:

    conda install pytorch torchvision -c pytorch
    
  4. Clone this repo and install dependencies:

    git clone https://github.com/imagirom/YeastInference.git
    cd YeastInference
    pip install -r requirements.txt
    pip install -e git+https://github.com/inferno-pytorch/inferno@cache-reject#egg=inferno-0.3.1

Usage

Place the TIF files you want to process in a new folder YeastInference/data. In the YeastInference folder, run

python predict_rois.py

The predictions should be generated as zip files next to the input images.

To learn about further options, please run python predict_rois.py -h.

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages