on_the_fly | package contains code accompanying the manuscript | Machine Learning library
kandi X-RAY | on_the_fly Summary
kandi X-RAY | on_the_fly Summary
on_the_fly is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch, Tensorflow applications. on_the_fly has no bugs, it has no vulnerabilities, it has build file available and it has low support. However on_the_fly has a Non-SPDX License. You can download it from GitHub.
This package contains code accompanying the manuscript of "On-the-Fly machine learning for improving image resolution in tomography".
This package contains code accompanying the manuscript of "On-the-Fly machine learning for improving image resolution in tomography".
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Support
on_the_fly has a low active ecosystem.
It has 6 star(s) with 0 fork(s). There are 1 watchers for this library.
It had no major release in the last 12 months.
on_the_fly has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of on_the_fly is paper-release
Quality
on_the_fly has 0 bugs and 0 code smells.
Security
on_the_fly has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
on_the_fly code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
on_the_fly has a Non-SPDX License.
Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.
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on_the_fly releases are available to install and integrate.
Build file is available. You can build the component from source.
Installation instructions, examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi has reviewed on_the_fly and discovered the below as its top functions. This is intended to give you an instant insight into on_the_fly implemented functionality, and help decide if they suit your requirements.
- Find images in path specification
- Sort a list
- Load a stack of images
- Load images
- Calculate the index of a mask in a vg
- Computes the extents and shape of the grid
- Wrapper for bicubicubic
- Process flexray data
- Process input file
- Reconstruct a tomcat region
- Save the network to file
- Reconstruct a simulation
- Reconstruct a flexray from a Proj
Get all kandi verified functions for this library.
on_the_fly Key Features
No Key Features are available at this moment for on_the_fly.
on_the_fly Examples and Code Snippets
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examples
├── cone_foam_fast
│ ├── cone_balls_spec.txt
│ ├── geometries
│ └── Makefile
├── cone_foam_full
│ ├── cone_balls_spec.txt
│ ├── geometries
│ └── Makefile
└── cone_foam_j
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conda create -n otf python=3.6
source activate otf
conda install -c astra-toolbox/label/dev -c aahendriksen -c pytorch -c conda-forge -c owlas \
msd_pytorch=0.5.1 \
cudatoolkit=9.0 \
flexdata \
tomopy \
dxchan
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make test/output-unet-B/.dirstamp
make test/output-unet-A1/.dirstamp
make test/output-unet-A9/.dirstamp
make test/output-msd-B/.dirstamp
make test/output-msd-A1/.dirstamp
make test/output-msd-A9/.dirstamp
make test/output-bicubic/.dirstamp
Community Discussions
Trending Discussions on on_the_fly
QUESTION
on-the-fly substitution of `Option>>>`
Asked 2021-Jun-27 at 09:32
Suppose I have an object video_source: Option>>>
and I pass it to a thread:
ANSWER
Answered 2021-Jun-25 at 05:38First, you are correct that T
cannnot be a trait like GetVideo
; traits are not types. However, T
can be dyn GetVideo
.
Second, your aliases have generic parameters, so they should be reflected as such in the function signature:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install on_the_fly
It takes a few steps to setup On the fly machine learning for improving image resolution in tomography on your machine. We recommend installing Anaconda package manager for Python 3.
Support
If you have any issues, questions, or remarks, then please open an issue on GitHub.
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