Re: scikit-image Digest, Vol 50, Issue 1
Hi Chien-Cheng,
The scikit-image release 0.18.0 is being prepared now (so hopefully it will
be out soon). I think installing the release candidate will be the simplest
way forward for you, until the official release 0.18.0 becomes available.
You can install the latest release candidate into your anaconda environment
with: pip install scikit-image==0.18.0rc2
Last, in case you are also interested to know what went wrong with trying
to install the development version, I suspect the problem you had earlier
is because of one of two possibilities:
1. You have not cloned the scikit-image repository from github, or
2. You have not changed directory in your terminal before running that
conda install command. You'll need to move to the location of the
scikit-image git repository with something like "cd
Documents/Github/scikit-image" or "cd Documents\Github\scikit-image" before
you can install it.
There are a few other pre-requisites for a development installation (like a
working C compiler, and a C++ compiler). These are listed as bullet points
under the heading "Installing scikit-image for contributors" on the page
you linked to: https://scikit-image.org/docs/dev/install.html#id4
I hope that helps,
Genevieve
On Fri, 11 Dec 2020 at 21:13,
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Today's Topics:
1. Installation question about skimage developer version (Hung, C. (Chien-Cheng))
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Message: 1 Date: Fri, 11 Dec 2020 10:01:12 +0000 From: "Hung, C. (Chien-Cheng)"
Subject: [scikit-image] Installation question about skimage developer version To: "scikit-image@python.org" Message-ID: Content-Type: multipart/related; boundary="_004_AM6PR05MB4999E4 09E9F2D0A6FA8455808FCA0AM6PR05MB4999eurp_"; type="multipart/alternative" Dear scikit team,
My name is Chien-Cheng and I am trying to use scikit-image to do some image segmentation. The method I choose is called "Training segmentation" ( https://scikit-image.org/docs/dev/auto_examples/segmentation/plot_trainable_... ). Currently, I am trying to run the example of the training method and I got a few questions. The latest skimage version I have in the Anaconda is 0.17.2. But I found the training method seems only applicable for the developer version 0.19.0.dev0 since some of the attribute in the script is missing in the version of 0.17.2 (for example, there is an error called AttributeError: module 'skimage.feature' has no attribute 'multiscale_basic_features' after running the example script with 0.17.2). Also, I cannot find the example of the training method in the version of 0.17.2 so I figure the training methods require the developer version.
I have tried installing the contributor/developer version in the conda environment by following the instruction ( https://scikit-image.org/docs/dev/install.html#id6) but when I was running the third comment "conda install `for i in requirements/{default,build,test}.txt; do echo -n " --file $i "; done`. The console shows me the error below:
[cid:image002.jpg@01D6CFE7.99D9EF80]
I really don't know what the problem might be so I would like to turn to your help. There are two questions I have so far:
1. Do I need to install the developer version to use the training methods? 2. If so, did I install the developer version with the correct procedure? If yes, how to solve the issue I have above?
Looking forward to your reply, thanks!
Best regards, Chien-Cheng
participants (1)
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Genevieve Buckley