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ZephOD

Object/feature detection model selector algorithm. Current user version: v0.2.0.

Getting Started

  1. Clone git repository:
git clone https://github.com/venkatachalamlab/zephod.git
  1. Checkout the current version:
git checkout v0.2.0

Use the following command to see what's new in the most recent tagged version:

git show v0.2.0
  1. Make sure that following Python libraries are installed (prefer conda over pip):

    • docopt
    • h5py
    • matplotlib
    • numpy
    • opencv
    • pandas
    • pathlib
    • pytorch
    • scipy
    • scikit-image
    • tqdm
  2. Install (development mode):

(base) zephod> python setup.py develop
  1. Train:
train_zephod --dataset=. --model=<yourmodelname> [options]
  1. Run:
zephod --dataset=. --model=<yourmodelname> [options]

Current default channels

  • Richardson-Lucy Deconvolution
  • 0-255 Look-up Table
  • Thresholding (low=50, high=200)
  • Sharpening ([-3, 16, -3] kernel)

Currently available pretrained models

  • celegans: pan-neuronal fluorescence image of freely-moving C. elegans worms

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Center/nucleus detection model selector algorithm.

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