neuralib.segmentation.cellpose
Cellpose
API Mode
Example of run an image segmentation in 2D mode and visualize using napari
python -m neuralib.segmentation.cellpose.run_api -F <IMAGE_FILE> --napari
It produces an output
<IMAGE_FILE>_seg.npyin the same directory, If the output exists, the napari will directly use the output. If need run again and rewrite the output, use--force-evaloption
Example of run an image segmentation in 2D mode and visualize using Cellpose GUI
python -m neuralib.segmentation.cellpose.run_api -F <IMAGE_FILE> --cpose
Example of run batch image segmentation in 2D mode from a directory (.tif files)
python -m neuralib.segmentation.cellpose.run_2d -D <DIRECTORY> --suffix .tif
It produces multiple
*_seg.npyin the same directory.
See help using -h option
python -m neuralib.segmentation.cellpose.run_api -h
Subprocess Mode
Example of run an image segmentation in subprocess call
python -m neuralib.segmentation.cellpose.run_subproc -F <IMAGE_FILE>
It produces an output
<IMAGE_FILE>_seg.npyin the same directory, If the output exists, the napari will directly use the output. If need run again and rewrite the output, use--force-evaloption
Example of run batch image segmentation in subprocess call
python -m neuralib.segmentation.cellpose.run_subproc -D <DIRECTORY>
It produces multiple
*.npyin the same directory.
See help using -h option
python -m neuralib.segmentation.cellpose.run_subproc -h