This release is a pre-release and may not be stable for production use.
This repository contains two docker images which provide a full development environment for those doing image processing, computer vision, or machine learning development in python.
- It includes:
imagepypelines (obviously :p)
Opencv (an optimized build)
tensorflow
keras
Pillow
sklearn
the usual suspects (scipy, numpy, etc)
This repository is an accessory to the open source image and data ImagePypelines
note that GPU usage requires separate installation of Nvidia-Docker
These images are built to work in tandem with the pip package imagepypelines-tools. To enter this docker environment simply:
pip install imagepypelines
imagepypelines shellimagepypelines shell
Standard
pip install imagepypelines
imagepypelines shellGPU Accelerated (limited to Linux hosts with Nvidia-Docker)
pip install imagepypelines
imagepypelines shell --gpu3 maintainers
Metadata
3 maintainers
Release files for imagepypelines-tools 0.4.0a0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| imagepypelines-tools-0.4.0a0.tar.gz | 10.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| imagepypelines_tools-0.4.0a0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 26.7 kB
Release files / imagepypelines-tools-0.4.0a0.tar.gz
| Download URL | imagepypelines-tools-0.4.0a0.tar.gz |
|---|---|
| Size | 10.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.12.1 pkginfo/1.4.2 requests/2.20.0 setuptools/40.6.2 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.6.8
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Release files / imagepypelines_tools-0.4.0a0-py3-none-any.whl
| Download URL | imagepypelines_tools-0.4.0a0-py3-none-any.whl |
|---|---|
| Size | 16.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.12.1 pkginfo/1.4.2 requests/2.20.0 setuptools/40.6.2 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.6.8
|
