10000 added ridge-directed-ring-detector + demo notebook by eldad-a · Pull Request #1706 · scikit-image/scikit-image · GitHub
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eldad-a
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@eldad-a eldad-a commented Sep 12, 2015

an implementation of the algorithm in
Sci. Rep. 5, 13584; doi: 10.1038/srep13584 (2015).

EA
On branch ridge-directed-ring-detector
Changes to be committed:
new file: ridge-directed-ring-detector/demo.ipynb
new file: ridge-directed-ring-detector/ridge_directed_ring_detector.pyx

@eldad-a
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eldad-a commented Sep 12, 2015

This is my first PR -- guess it would need some work -- looking forward to your suggestions.
Cheers,
Eldad

@tacaswell
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If this does not fit into skimage's scope, I think this would fit in https://github.com/soft-matter/trackpy

@stefanv
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stefanv commented Sep 16, 2015

I encouraged Eldad to make this pull request, after reviewing his paper. Having looked at several algorithms in the field, I am convinced that this extremely useful.

We'll need to do some work to get this into shape. Add examples to the gallery, clean up the code, add correct Python wrappers & documentation, etc. But I think it is well worth the effort!

Thomas, thank you for expressing interest. Your input would be much appreciated!

@tacaswell
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@stefanv Ah, great, sorry for causing trouble. I agree it is useful and want to make sure this code has a home!

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stefanv commented Sep 16, 2015

@tacaswell Not at all; we are just too happy to have you involved.

@eldad-a
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eldad-a commented Sep 16, 2015

@tacaswell
@stefanv

Thank you both for your words of support!
It would be great if this algorithm will be useful for others.

@soupault soupault added the ⏩ type: Enhancement Improve existing features label Feb 4, 2016
@stefanv
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stefanv commented Feb 20, 2016

OK, I had a first look. We need to do a few things here:

  • Use the scikit-image build system to build the Cython files (I've sent you a pull request)
  • Format the code according to Python PEP8
  • Convert the notebook into an example for the gallery
  • Add tests
  • Remove cv2 and use scikit-image equivalent functions instead

What do you think, Eldad?

@sciunto
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sciunto commented Jul 14, 2016

@eldad-a What's the status of this PR?

@alexdesiqueira
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Hi @eldad-a, we are interested in adding this code to the next major version.
We could add it after answering what Stéfan pointed before.
Do you need any help on that? Thanks!

@sciunto
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sciunto commented May 23, 2019

It's likely that @eldad-a doesn't want to work on this anymore after such a long time. Very interesting feature, but there is quite a lot of work to integrate it in scikit-image. In particular, to reuse build-in fonctions to fit and perform hough transforms.

@stefanv
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stefanv commented May 23, 2019

I spoke to @alexandrejaguar about this, and encouraged him to investigate the contribution. The work @eldad-a did was of high quality, and I reviewed his manuscript that appeared in Nature Methods. This is a method that adds unique functionality that does not currently exist in any other library, but the method is well thought through. I think we would greatly benefit from having it, and so it is worth some extra effort.

@eldad-a may or may not have time to work on this right now, but he has been responsive in the past (he and I have had long email exchanges about the work).

@eldad-a
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eldad-a commented May 23, 2019

@alexandrejaguar Thanks for following up and for the interest!
What is the timeline for the next major revision?
I'm happy to contribute and work on the revisions; at the same time, lacking previous experience in collaborative coding, yes, I will need help.

@stefanv Thank you again for the kind words and support!

BTW, Nature Methods requires "tried-and-tested basic research techniques in the life sciences", which was beyond the scope of the work at the time (that is, to try and test the technique in a biological research example).

The manuscript can be found at

E. Afik, Robust and highly performant ring detection algorithm for 3d particle tracking using 2d microscope imaging. Sci. Rep. 5, 13584; doi: 10.1038/srep13584 (2015)

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stefanv commented May 23, 2019

Apologies: I mixed up Scientific Reports and Nature Methods—but the effect is the same.

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stefanv commented May 23, 2019

@eldad-a Is this version in sync with the latest in your repo at https://github.com/eldad-a/ridge-directed-ring-detector?

@eldad-a
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eldad-a commented May 23, 2019

Apologies: I mixed up Scientific Reports and Nature Methods—but the effect is the same.

@stefanv No need to apologize, of course :-)

@eldad-a
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eldad-a commented May 23, 2019

@eldad-a Is this version in sync with the latest in your repo at https://github.com/eldad-a/ridge-directed-ring-detector?

@stefanv Does this version refers to the one in my first PR?
It is almost the same. There are two minor corrections in the code, and some revisions in the Readme.

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stefanv commented May 23, 2019

@eldad-a To make sure I understand correctly: we need to grab those two changes from your ridge-directed-ring-detector repository?

Thanks for chiming in; I'm so excited that we're getting the wheels rolling on this awesome feature again.

@eldad-a
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eldad-a commented May 23, 2019

@stefanv Yes, I think it is better that the version we'll be working is the most recent one (it introduces no conceptual changes).

Thanks again for the continuous interest and support, I greatly appreciate it!

8000
@alexdesiqueira
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@eldad-a thanks for helping! Could you push these improvements to this pull request?

Use the scikit-image build system to build the Cython files (I've sent you a pull request)

I think we could start adding the pull request @stefanv sent you before. How's that?

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stefanv commented May 23, 2019 via email

@eldad-a
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eldad-a commented May 29, 2019

Use the scikit-image build system to build the Cython files (I've sent you a pull request)

I think we could start adding the pull request @stefanv sent you before. How's that?

@alexandrejaguar I believe I just completed this step.

@eldad-a thanks for helping! Could you push these improvements to this pull request?

Could you please direct me what's the best way to do so?
Additionally, should I update my fork to the current scikit-image one?

@alexdesiqueira
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Hey @eldad-a, thank you for your help!

Could you please direct me what's the best way to do so?

This was solved when you pushed @stefanv PR already, thanks for doing that.

Additionally, should I update my fork to the current scikit-image one?

This could be good: please use git pull origin ridge-directed-ring-detector and let me know if everything was ok.

Format the code according to Python PEP8
Remove cv2 and use scikit-image equivalent functions instead

I think now we could address both of these issues at once. What do you think?
Feel free to reach us if you need any help on that, ok? Thanks again!

@eldad-a
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eldad-a commented May 31, 2019

@alexandrejaguar wrote:

This could be good: please use git pull origin ridge-directed-ring-detector and let me know if everything was ok.

checked out ridge-directed-ring-detector, then ran the command you kindly suggested; did not encounter any issues so far.

Should I sync my fork to the original scikit-image repository?
(this hasn't been done since I forked it, Sept 2015...)

@alexdesiqueira
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@eldad-a wrote:

Should I sync my fork to the original scikit-image repository?
(this hasn't been done since I forked it, Sept 2015...)

Feel free to do that as well (git pull upstream master), but I think it wouldn't affect us at this stage.

@pep8speaks
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pep8speaks commented May 31, 2019

Hello @eldad-a! Thanks for updating this PR. We checked the lines you've touched for PEP 8 issues, and found:

There are currently no PEP 8 issues detected in this Pull Request. Cheers! 🍻

Comment last updated at 2019-06-17 00:12:39 UTC

@alexdesiqueira
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Hi @eldad-a, I think you pushed all modifications within master on your branch (205a84c)... we don't want that :)

@eldad-a
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eldad-a commented May 31, 2019

@alexandrejaguar

Hi @eldad-a, I think you pushed all modifications within master on your branch (205a84c)... we don't want that :)

Sorry for the misunderstanding; did not realize it was not desired to have my branch updated to master of scikit-image.

Should I revert?
Could you recommend the easiest way?

Should I run
git checkout e0eefe2261b82c30da13d4979a9452cab7b6903b
followed by a commit and push?

@alexdesiqueira
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Sorry for the misunderstanding; did not realize it was not desired to have my branch updated to master of scikit-image.

Should I revert?
Could you recommend the easiest way?

Should I run
git checkout e0eefe2261b82c30da13d4979a9452cab7b6903b
followed by a commit and push?

@eldad-a don't worry, I learned the worst way everything is reversible here. :)
I think you should revert your branch to e0eefe2 (maybe git revert 5e6ee16..205a84c), but I would ask first to @NelleV or @seberg, the masters of git :)

an implementation of the algorithm in
Sci. Rep. 5, 13584; doi: 10.1038/srep13584 (2015).

EA
 On branch ridge-directed-ring-detector
 Changes to be committed:
	new file:   ridge-directed-ring-detector/demo.ipynb
	new file:   ridge-directed-ring-detector/ridge_directed_ring_detector.pyx
@stefanv
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stefanv commented Jun 10, 2019

Please note that the data file used in the notebook is missing from the archive.

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stefanv commented Jun 10, 2019

I've pushed the rebased branch.

@eldad-a
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eldad-a commented Jun 11, 2019

I've pushed the rebased branch.

@stefanv Thanks!
Do I understand correctly that this resolves me pushing the updates from master to my branch?

If possible, please share the command you used.

@eldad-a
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eldad-a commented Jun 11, 2019

Dear @alexandrejaguar @stefanv ,

I looked at the (skimage) How to contribute to page and followed the guidelines for conda, for setting up the build environment.
Running
https://scikit-image.org/docs/dev/contribute.html#conda
I get an for the use of Python 2.7:

ERROR: Python 2.7.15 detected.
scikit-image 0.15+ support only Python 3.5 and above.

Tracing back to what caused the switch from my py36 to py27, I found that running:
conda install `for i in requirements/{default,build}.txt; do echo -n " --file $i "; done`
leads to the installation of:
python conda-forge/linux-64::python-2.7.15-h938d71a_1006

This happens even if I skip that command and try:
conda install pytest

Any suggestions on this?

For now I re-created the environment, skipped the lines that switch to py27 and used
pip install -e .

Found that conda install wheel will also lead to py27,
and so I ended up running
conda install -c conda-forge wheel
followed by
conda install pytest

@hmaarrfk
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:/ I can't seem to recreate on my own computer

(base) mark2@xps:~/git/scikit-image$ conda create --name skimage-dev
Collecting package metadata: done
Solving environment: done

## Package Plan ##

  environment location: /home/mark2/miniconda3/envs/skimage-dev

Proceed ([y]/n)? 
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
#
# To activate this environment, use
#
#     $ conda activate skimage-dev
#
# To deactivate an active environment, use
#
#     $ conda deactivate

(base) mark2@xps:~/git/scikit-image$ conda activate skimage-dev
(skimage-dev) mark2@xps:~/git/scikit-image$ conda install `for i in requirements/{default,build}.txt; do echo -n " --file $i "; done`
Collecting package metadata: done
Solving environment: done

## Package Plan ##

  environment location: /home/mark2/miniconda3/envs/skimage-dev

  added / updated specs:
    - cython[version='>=0.25,!=0.28.2,!=0.29.0']
    - imageio[version='>=2.0.1']
    - matplotlib[version='>=2.0.0,!=3.0.0']
    - networkx[version='>=2.0']
    - numpy[version='>=1.13.3,>=1.13.3']
    - pillow[version='>=4.3.0']
    - pywavelets[version='>=0.4.0']
    - scipy[version='>=0.17.0']
    - wheel


The following packages will be downloaded:

    package                    |            build
    ---------------------------|-----------------
    gst-plugins-base-1.14.5    |       h0935bb2_0         6.8 MB  conda-forge
    gstreamer-1.14.5           |       h36ae1b5_0         4.5 MB  conda-forge
    libgcc-ng-9.1.0            |       hdf63c60_0         8.1 MB
    libstdcxx-ng-9.1.0         |       hdf63c60_0         4.0 MB
    ------------------------------------------------------------
                                           Total:        23.4 MB

The following NEW packages will be INSTALLED:

  bzip2              conda-forge/linux-64::bzip2-1.0.6-h14c3975_1002
  ca-certificates    conda-forge/linux-64::ca-certificates-2019.3.9-hecc5488_0
  certifi            conda-forge/linux-64::certifi-2019.3.9-py37_0
  cycler             conda-forge/noarch::cycler-0.10.0-py_1
  cython             conda-forge/linux-64::cython-0.29.10-py37he1b5a44_0
  dbus               conda-forge/linux-64::dbus-1.13.6-he372182_0
  decorator          conda-forge/noarch::decorator-4.4.0-py_0
  expat              conda-forge/linux-64::expat-2.2.5-hf484d3e_1002
  fontconfig         conda-forge/linux-64::fontconfig-2.13.1-he4413a7_1000
  freetype           conda-forge/linux-64::freetype-2.10.0-he983fc9_0
  gettext            conda-forge/linux-64::gettext-0.19.8.1-hc5be6a0_1002
  glib               conda-forge/linux-64::glib-2.58.3-hf63aee3_1001
  gst-plugins-base   conda-forge/linux-64::gst-plugins-base-1.14.5-h0935bb2_0
  gstreamer          conda-forge/linux-64::gstreamer-1.14.5-h36ae1b5_0
  icu                conda-forge/linux-64::icu-58.2-hf484d3e_1000
  imageio            conda-forge/linux-64::imageio-2.5.0-py37_0
  jpeg               conda-forge/linux-64::jpeg-9c-h14c3975_1001
  kiwisolver         conda-forge/linux-64::kiwisolver-1.1.0-py37hc9558a2_0
  libblas            conda-forge/linux-64::libblas-3.8.0-7_openblas
  libcblas           conda-forge/linux-64::libcblas-3.8.0-7_openblas
  libffi             conda-forge/linux-64::libffi-3.2.1-he1b5a44_1006
  libgcc-ng          pkgs/main/linux-64::libgcc-ng-9.1.0-hdf63c60_0
  libgfortran-ng     pkgs/main/linux-64::libgfortran-ng-7.3.0-hdf63c60_0
  libiconv           conda-forge/linux-64::libiconv-1.15-h516909a_1005
  liblapack          conda-forge/linux-64::liblapack-3.8.0-7_openblas
  libpng             conda-forge/linux-64::libpng-1.6.37-hed695b0_0
  libstdcxx-ng       pkgs/main/linux-64::libstdcxx-ng-9.1.0-hdf63c60_0
  libtiff            conda-forge/linux-64::libtiff-4.0.10-h57b8799_1003
  libuuid            conda-forge/linux-64::libuuid-2.32.1-h14c3975_1000
  libxcb             conda-forge/linux-64::libxcb-1.13-h14c3975_1002
  libxml2            conda-forge/linux-64::libxml2-2.9.9-h13577e0_0
  lz4-c              conda-forge/linux-64::lz4-c-1.8.3-he1b5a44_1001
  matplotlib         conda-forge/linux-64::matplotlib-3.1.0-py37_1
  matplotlib-base    conda-forge/linux-64::matplotlib-base-3.1.0-py37hfd891ef_1
  ncurses            conda-forge/linux-64::ncurses-6.1-hf484d3e_1002
  networkx           conda-forge/noarch::networkx-2.3-py_0
  numpy              conda-forge/linux-64::numpy-1.16.4-py37h95a1406_0
  olefile            conda-forge/noarch::olefile-0.46-py_0
  openblas           conda-forge/linux-64::openblas-0.3.5-h9ac9557_1001
  openssl            conda-forge/linux-64::openssl-1.1.1b-h14c3975_1
  pcre               conda-forge/linux-64::pcre-8.41-hf484d3e_1003
  pillow             conda-forge/linux-64::pillow-6.0.0-py37he7afcd5_0
  pip                conda-forge/linux-64::pip-19.1.1-py37_0
  pthread-stubs      conda-forge/linux-64::pthread-stubs-0.4-h14c3975_1001
  pyparsing          conda-forge/noarch::pyparsing-2.4.0-py_0
  pyqt               conda-forge/linux-64::pyqt-5.9.2-py37hcca6a23_0
  python             conda-forge/linux-64::python-3.7.3-h5b0a415_0
  python-dateutil    conda-forge/noarch::python-dateutil-2.8.0-py_0
  pywavelets         conda-forge/linux-64::pywavelets-1.0.3-py37hd352d35_1
  qt                 conda-forge/linux-64::qt-5.9.7-h52cfd70_2
  readline           conda-forge/linux-64::readline-7.0-hf8c457e_1001
  scipy              conda-forge/linux-64::scipy-1.3.0-py37h921218d_0
  setuptools         conda-forge/linux-64::setuptools-41.0.1-py37_0
  sip                conda-forge/linux-64::sip-4.19.8-py37hf484d3e_1000
  six                conda-forge/linux-64::six-1.12.0-py37_1000
  sqlite             conda-forge/linux-64::sqlite-3.28.0-h8b20d00_0
  tk                 conda-forge/linux-64::tk-8.6.9-hed695b0_1002
  tornado            conda-forge/linux-64::tornado-6.0.2-py37h516909a_0
  wheel              conda-forge/linux-64::wheel-0.33.4-py37_0
  xorg-libxau        conda-forge/linux-64::xorg-libxau-1.0.9-h14c3975_0
  xorg-libxdmcp      conda-forge/linux-64::xorg-libxdmcp-1.1.3-h516909a_0
  xz                 conda-forge/linux-64::xz-5.2.4-h14c3975_1001
  zlib               conda-forge/linux-64::zlib-1.2.11-h14c3975_1004
  zstd               conda-forge/linux-64::zstd-1.4.0-h3b9ef0a_0


Proceed ([y]/n)? 

seems ok on my computer.

@hmaarrfk
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do you have any other channels added to your system? is conda up to date for you?

(skimage-dev) mark2@xps:~/git/scikit-image$ conda --version
conda 4.6.14
(skimage-dev) mark2@xps:~/git/scikit-image$ conda config --show channels
channels:
  - conda-forge
  - defaults

@jni
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jni commented Jun 11, 2019

I think if your base conda environment is 2.7, your default Python is 2.7. Probably we should add python=3.7 to the instructions.

@hmaarrfk
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That I never knew

@eldad-a
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eldad-a commented Jun 11, 2019

do you have any other channels added to your system? is conda up to date for you?

(skimage-dev) mark2@xps:~/git/scikit-image$ conda --version
conda 4.6.14
(skimage-dev) mark2@xps:~/git/scikit-image$ conda config --show channels
channels:
  - conda-forge
  - defaults

Thanks @hmaarrfk , @jni !
It seems the channels were the issue in my case:

:~$ conda config --show channels
channels:
  - https://conda.anaconda.org/auto
...
:~$ conda --version
conda 4.6.14

Apparently the auto channel led to the py27 installation, as wheel was found there.

Removing the auto channel and following the instructions at Build environment setup : conda works for the most part.

I apologize for the false alarm.

pytest results in 1 error

$ pytest skimage
results in:

================================================= ERRORS =================================================
_________________________________ ERROR at setup of test_imread_http_url _________________________________
file /media/DATA/eldada/Documents/Projects/scikit-image/skimage/io/tests/test_io.py, line 46
  def test_imread_http_url(httpserver):
E       fixture 'httpserver' not found
>       available fixtures: cache, capfd, capfdbinary, caplog, capsys, capsysbinary, doctest_namespace, monkeypatch, pytestconfig, record_property, record_testsuite_property, record_xml_attribute, recwarn, tmp_path, tmp_path_factory, tmpdir, tmpdir_factory
>       use 'pytest --fixtures [testpath]' for help
10000
 on them.

/media/DATA/eldada/Documents/Projects/scikit-image/skimage/io/tests/test_io.py:46
============================================ warnings summary ============================================
feature/tests/test_blob.py::test_blob_log
feature/tests/test_blob.py::test_blob_log
  /home/eldada/lib/python/anaconda3/envs/skimage-dev/lib/python3.7/site-packages/numpy/core/function_base.py:277: DeprecationWarning: object of type <class 'numpy.float64'> cannot be safely interpreted as an integer.
    y = linspace(start, stop, num=num, endpoint=endpoint, axis=axis)

filters/tests/test_ridges.py::test_2d_null_matrix
filters/tests/test_ridges.py::test_3d_null_matrix
  /media/DATA/eldada/Documents/Projects/scikit-image/skimage/filters/ridges.py:216: RuntimeWarning: invalid value encountered in true_divide
    filtered = np.abs(auxiliary) / np.abs(np.max(auxiliary))

filters/tests/test_ridges.py::test_2d_null_matrix
filters/tests/test_ridges.py::test_3d_null_matrix
  /media/DATA/eldada/Documents/Projects/scikit-image/skimage/filters/ridges.py:219: RuntimeWarning: invalid value encountered in greater
    filtered = np.where(filtered > 0, filtered, 0)

-- Docs: https://docs.pytest.org/en/latest/warnings.html
===================== 5396 passed, 26 skipped, 6 warnings, 1 error in 180.28 seconds =====================

@stefanv
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stefanv commented Jun 11, 2019

@eldad-a I used git rebase -i to remove commits I did not want and to replay the rest. I had to edit a merge conflict once or twice, but overall it went smoothly.

 On branch ridge-directed-ring-detector
 Your branch is up to date with 'origin/ridge-directed-ring-detector'.

 Changes to be committed:
	modified:   ridge-directed-ring-detector/demo.ipynb
	new file:   ridge-directed-ring-detector/unprocessed_fig_46.png
@eldad-a
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eldad-a commented Jun 17, 2019

Please note that the data file used in the notebook is missing from the archive.

Thanks for the note!
I've added it for now in the same folder as the demo.ipynb;

@sciunto sciunto added this to the 0.16 milestone Aug 9, 2019
@sciunto sciunto requested a review from stefanv August 9, 2019 16:25
@sciunto sciunto modified the milestones: 0.16, 0.17 Oct 17, 2019
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sciunto commented Oct 17, 2019

@stefanv Do you have a chance to look at this PR. Would be good to take a decision for the next release.

@alexdesiqueira
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Hey @eldad-a, long time no talk :)
Travis is complaining on missing files:

Missing from source distribution:

   ./skimage/transform/ridge-directed-ring-detector/unprocessed_fig_46.png
   ./skimage/transform/ridge-directed-ring-detector/demo.ipynb

Are these renamed/removed ones?

@alexdesiqueira
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Hey everyone,
I could finish this PR if @eldad-a don't mind; cc'ing @scikit-image/core.
Please let me know how to proceed.

@stefanv
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stefanv commented Feb 19, 2020

That'd be great, thanks Alex.

@alexdesiqueira alexdesiqueira self-assigned this Mar 26, 2020
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I'm trying to push to this branch (eldad-a:ridge-directed-ring-detector) without success. Are we allowed to push here?

@grlee77
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grlee77 commented Jul 12, 2020

I'm trying to push to this branch (eldad-a:ridge-directed-ring-detector) without success. Are we allowed to push here?

Maybe that branch is not set to allow edits from maintainers? If you can't get it to work, you can make a new PR after creating a new branch from this one. That will still preserve the commit history.

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Seems odd, @grlee77; I see now that @stefanv could push to it here.

If you can't get it to work, you can make a new PR after creating a new branch from this one.

I'm kinda sure I did that before 😅 Let me see what I can do tomorrow; I'll do that again if I still have issues.

@alexdesiqueira
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I'm still having my PRs denied:

> git push eldad-a ridge-directed-ring-detector
To https://github.com/eldad-a/scikit-image/
 ! [remote rejected]     ridge-directed-ring-detector -> ridge-directed-ring-detector (permission denied)
error: failed to push some refs to 'https://github.com/eldad-a/scikit-image/'
> git rev-parse --show-toplevel

Not sure what's happening. How would I do this by hand, again?

@alexdesiqueira
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Closing due to permission issues. Please refer to #4847, which continues this PR.

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