Skip to main content
Documentation Status https://app.travis-ci.com/huynhngoc/deoxys.svg?branch=master https://coveralls.io/repos/github/huynhngoc/deoxys/badge.svg https://img.shields.io/badge/code%20style-black-000000.svg

Framework for running deep-learning experiments with emphasis on cancer tumor auto-segmentation.

Features

Applying different deep learning models on medical images

Build from source

Editable mode installation pip install -e .

Run test tox .

Environment setup

To run on CPU only (windows) set CUDA_VISIBLE_DEVICES=-1

To customize the number of iteration per epoch:

On Windows set ITER_PER_EPOCH=500

On Linux export ITER_PER_EPOCH=500

Metadata

Release files for deoxys 0.0.11

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for deoxys 0.0.11
File Size Uploaded Provenance
deoxys-0.0.11.tar.gz 12.2 MB Without provenance Details

Release files / deoxys-0.0.11.tar.gz

Download URL deoxys-0.0.11.tar.gz
Size 12.2 MB
Tags Source
SHA-256 checksum
How to use checksums
67c3d868a750e4469aef42fb3aac99ba6cbfe1bcccc5c0a5e3c09d83dbe74a53
BLAKE2b-256 checksum
How to use checksums
01d0d5524a7978eb8c0d25c463c66d0cd18fa81ec8a0f9b3f5cde20807b6cea9
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.0.post20201006 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.7.9

Security for deoxys 0.0.11

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page