Comments (3)
Are you running within a conda environment as the installation guide suggested? If so, can you copy and paste the console output after running pip show aicssegmentation
and pip show
pip show aicsimageio`?
from aics-segmentation.
Yes, running this in a conda environment. Here's the output for pip show aicssegmentation
Name: aicssegmentation
Version: 0.1.16.dev4
Summary: Scripts for structure segmentation.
Home-page: UNKNOWN
Author: AICS
Author-email: [email protected]
License: Allen Institute Software License
Location: /Users/sharm261/Documents/aics-segmentation
Requires: numpy, scipy, scikit-image, pandas, aicsimageio, aicsimageprocessing, numba, itk
Required-by:
and pip show aicsimageio
Name: aicsimageio
Version: 0.6.4
Summary: A generalized scientific image processing module from the Allen Institute for Cell Science.
Home-page: UNKNOWN
Author: AICS
Author-email: [email protected]
License: Allen Institute Software License
Location: /anaconda3/envs/segmentation/lib/python3.6/site-packages
Requires: matplotlib, scipy, numpy, scikit-image, Pillow, imageio, tifffile
Required-by: aicssegmentation
from aics-segmentation.
The packages look correct to me. There are a couple to easy/quick things to try.
(1) If you simply add print(filenames)
in https://github.com/AllenInstitute/aics-segmentation/blob/master/aicssegmentation/bin/batch_processing.py#L216
The detected files should be printed out to your screen console. Then, you can make sure they are exactly what you are trying to run on.
(2) If the filenames shown in the test above are different from what you are expecting, you can try insert print(os.listdir(args.input_dir))
as you did above. This is kind of making sure the program is getting the correct directory.
from aics-segmentation.
Related Issues (5)
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from aics-segmentation.