From 9604bce354a36302d019e9afee06fcc8201f7720 Mon Sep 17 00:00:00 2001 From: romainGuiet Date: Mon, 9 Dec 2024 12:31:05 +0100 Subject: [PATCH] update readme for cellpose --- README.md | 65 +++++------------- resources/cellpose06_biop_gpu_113-821.yml | 11 --- resources/cellpose07_biop_gpu_113-821.yml | 12 ---- ...lpose221_biop_gpu_ctk113-cdn821-pyt112.yml | 13 ---- resources/cellposeAdvParam.png | Bin 107633 -> 0 bytes resources/cellposeSetup.png | Bin 41056 -> 0 bytes resources/cellpose_biop_gpu.yml | 21 ------ resources/cellpose_command_GUI.png | Bin 0 -> 37121 bytes 8 files changed, 17 insertions(+), 105 deletions(-) delete mode 100644 resources/cellpose06_biop_gpu_113-821.yml delete mode 100644 resources/cellpose07_biop_gpu_113-821.yml delete mode 100644 resources/cellpose221_biop_gpu_ctk113-cdn821-pyt112.yml delete mode 100644 resources/cellposeAdvParam.png delete mode 100644 resources/cellposeSetup.png delete mode 100644 resources/cellpose_biop_gpu.yml create mode 100644 resources/cellpose_command_GUI.png diff --git a/README.md b/README.md index 064ac62..249bac1 100644 --- a/README.md +++ b/README.md @@ -56,7 +56,7 @@ On top of this, some converters that facilite the transmission of data to these # Cellpose -**NOTE** : up to cellpose 2.0 +**NOTE** : up to cellpose 3.0 The **Cellpose** wrapper is an ImageJ2 command that enables using a working Cellpose virtual environment (either conda, or venv) from Fiji. @@ -99,34 +99,12 @@ To check if it works, you can: ###### Conda cellpose-GPU -A successful GPU installation was possible with Win10 & NVIDIA GeForce RTX 2080 Ti, following [the detailed installation procedure described for venv](https://c4science.ch/w/bioimaging_and_optics_platform_biop/computers-servers/software/gpu-deep-learning/virtualenv/) following installation of drivers, VisualStudio, CUDA Toolkit, CuDDN before using Anaconda and the yml file below: -| CUDA Toolkit | cuDNN | pytorch | cellpose | yml | -| ------------- | ------------- | ------------- | ------------- |------------- | -| [CUDA Toolkit installer 10.1](https://developer.nvidia.com/cuda-10.1-download-archive-base?target_os=Windows&target_arch=x86_64&target_version=10&target_type=exenetwork) (§)| 7.6.0 | x | 0.6| [cellpose_biop_gpu.yml file](https://github.com/BIOP/ijl-utilities-wrappers/raw/master/resources/cellpose_biop_gpu.yml) (§§)| -| [CUDA Toolkit installer 11.3](https://developer.nvidia.com/cuda-11-3-1-download-archive) | [8.2.1](https://developer.nvidia.com/rdp/cudnn-archive) | x | 0.6 | [cellpose06_biop_gpu_113-821.yml file](https://github.com/BIOP/ijl-utilities-wrappers/raw/master/resources/cellpose06_biop_gpu_113-821.yml) | -| [CUDA Toolkit installer 11.3](https://developer.nvidia.com/cuda-11-3-1-download-archive) | [8.2.1](https://developer.nvidia.com/rdp/cudnn-archive) | x | 0.7| [cellpose07_biop_gpu_113-821.yml file](https://github.com/BIOP/ijl-utilities-wrappers/raw/master/resources/cellpose07_biop_gpu_113-821.yml) | -| [CUDA Toolkit installer 11.3](https://developer.nvidia.com/cuda-11-3-1-download-archive) | [8.2.1](https://developer.nvidia.com/rdp/cudnn-archive) | 1.12.0|2.2.1| [cellpose221_biop_gpu_ctk113-cdn821-pyt112.yml file](https://github.com/BIOP/ijl-utilities-wrappers/raw/master/resources/cellpose221_biop_gpu_ctk113-cdn821-pyt112.yml.yml) | +##### I.A.2.a. Win -**NOTE** if you experience "tensors error" -Current fix (from [cellpose issue](https://github.com/MouseLand/cellpose/issues/378#issuecomment-976767543)) is : -- locate `dynamics.py` -- in `line 104` replace : - - `meds = torch.from_numpy(centers.astype(int)).to(device)` - - by - - `meds = torch.from_numpy(centers.astype(int)).to(torch.long).to(device)` +You can find [instructions to install Cellpose environment on our wiki](https://wiki-biop.epfl.ch/en/ipa/mamba) -**(§)**: nvcc is required for the installation procedure and "the cudatoolkit packages available via Conda do not include [it]" ( [more about this issue here](https://horovod.readthedocs.io/en/stable/conda_include.html)). -To check nvcc status, you can (in a command prompt) type ``nvcc- V``, you should get something close to : - -`` nvcc: NVIDIA (R) Cuda compiler driver`` - -`` Copyright (c) 2005-2019 NVIDIA Corporation`` - -`` Built on Sun_Jul_28_19:12:52_Pacific_Daylight_Time_2019`` - -`` Cuda compilation tools, release 10.1, V10.1.243`` +Please find below some information, provided "as is" without any warranties of successful installation, nor further support. -**(§§)** : a yml file subtlety I learnt on this journey, you can enforce a certain channel_name::package_name ##### I.A.2.b. Mac @@ -149,36 +127,27 @@ Installation following Mac instructions worked for a couple of testers (no suppo ### I.B. Fiji - Cellpose wrapper **NOTE** The Fiji - Cellpose wrapper is useless without a working Cellpose environment, please see installation above. -To test if you have a working Cellpose environment: -1 - Activate your environment -2 - Type `python -m cellpose --help` -You should not get an error. -- Please activate our update site **_( PTBIOP | https://biop.epfl.ch/Fiji-Update/ )_** , [find more details here](https://wiki-biop.epfl.ch/en/ipa/fiji/update-site). -- Restart Fiji -- Execute ``Plugins>BIOP>Cellpose>Cellpose setup...`` - - Select the path to your working Cellpose virtual environment - - Select EnvType : ``conda`` or ``venv`` - - Select version : ``0.6`` , ``0.7`` , ``1.0`` or ``2.0``. +To test if you have a working Cellpose environment: +1. Start a terminal +2 . Activate your environment +3. Type `python -m cellpose --help` -**NOTE** : on MacOSX, for a default anaconda install and a default cellpose install path should be something like: ``/opt/anaconda3/envs/cellpose`` . - - +*You should not get an error ;)* -Congratulations you can now use Cellpose on your first image from Fiji! :) +From **Fiji** : +- Please activate our update site **_( PTBIOP | https://biop.epfl.ch/Fiji-Update/ )_** , [find more details here](https://wiki-biop.epfl.ch/en/ipa/fiji/update-site). +- Restart Fiji ## II. Using Fiji - Cellpose wrapper -The more "flexible" command is `Cellpose Advanced (own model)` which offers many parameters. - - +In the Fiji menu `Plugins > BIOP > Cellpose/Omnipose` one will find : +- `Cellpose ...` +- `Omnipose ... ` -BUT in case you need more parameters, this command also comes with a string field for additional parameters following pattern : `--channel_axis,CHANNEL_AXIS,--dir_above` +When selected both command will start a similar (yet different) GUI as pictured below : -For convenience 3 more commands exist: -- `Segment Nuclei`, no parameter, ideal to test on blobs -- `Segment Nuclei Advanced`, some parameter available -- `Cellpose Advanced` (same parameters as command `Cellpose Advanced (own model)` without possibility to select your own model) +![cellpose_command_GUI](resources/cellpose_command_GUI.png) **NOTE** We recommend users to prepare in Fiji the minimal image to be processed by cellpose before using the plugin. For example, from a 4 channels image (with nuclei, membrane , proteinX, ... stainings) extract the membrane and nuclei channel, make a composite image and run cellpose command on it. diff --git a/resources/cellpose06_biop_gpu_113-821.yml b/resources/cellpose06_biop_gpu_113-821.yml deleted file mode 100644 index 9d49d07..0000000 --- a/resources/cellpose06_biop_gpu_113-821.yml +++ /dev/null @@ -1,11 +0,0 @@ -name: cellpose_biop_gpu -dependencies: - - python>=3.8 - - pip - - cudnn==8.2.1 - - cudatoolkit=11.3 - - pytorch::pytorch - - pip: - - cellpose==0.6.5 - - jupyterlab - - scikit-image \ No newline at end of file diff --git a/resources/cellpose07_biop_gpu_113-821.yml b/resources/cellpose07_biop_gpu_113-821.yml deleted file mode 100644 index 123d85e..0000000 --- a/resources/cellpose07_biop_gpu_113-821.yml +++ /dev/null @@ -1,12 +0,0 @@ -name: cellpose_biop_gpu -dependencies: - - python>=3.8 - - pip - - cudnn==8.2.1 - - cudatoolkit=11.3 - - pytorch::pytorch - - pip: - - cellpose==0.7.2 - - jupyterlab - - scikit-image - - scikit-learn \ No newline at end of file diff --git a/resources/cellpose221_biop_gpu_ctk113-cdn821-pyt112.yml b/resources/cellpose221_biop_gpu_ctk113-cdn821-pyt112.yml deleted file mode 100644 index c30d21e..0000000 --- a/resources/cellpose221_biop_gpu_ctk113-cdn821-pyt112.yml +++ /dev/null @@ -1,13 +0,0 @@ -name: cellpose_biop_gpu -dependencies: - - python>=3.8 - - pip - - cudnn==8.2.1 - - cudatoolkit=11.3 - - numpy - - pytorch::pytorch==1.12.0 - - pip: - - cellpose==2.2.1 - - jupyterlab - - scikit-image - - scikit-learn \ No newline at end of file diff --git a/resources/cellposeAdvParam.png b/resources/cellposeAdvParam.png deleted file mode 100644 index 84747ffcb4f262b6c7ea0b7a18f0b79f2cdff930..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 107633 zcmdS>XH-*L7X}J@L`6kFkA+^8BZxGmCo~ZO5h+UVAO-|N4FN+H5wK81nn(#qla|nX z5m8D4p%X$CA%p}-BoL5V)YZ~49-cibQMj&bjg?ChPj$6kBQIoDjzoby?EWooR? 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