Framework to support deep-learning based computer-vision research in microscopy image analysis. Leverages and extends several PyTorch-based framework and tools.
$ git clone https://github.com/aarpon/qute
$ cd qute
$ conda create -n qute-env python
$ conda activate qute-env
$ pip install -e .To get started, try:
$ python qute/examples/cell_segmentation_demo_unet.py For an example on how to use ray[tune] to optimize hyper-parameters, see qute/examples/cell_segmentation_hp_optim_demo_unet.py.