Skip to main content

deepfit package

Project description

DeepFit

DeepFit is an open source package for creating novel methods that help all the stake holders better manage Patient Engagement. It leverages research technology like Data Shapley, Multi-Accuracy and cPCA from Stanford Artificial Intelligence Labs (SAIL)

DeepFit

Getting Started

Please Install DeepFit package using

!pip install deepfitv

Programming Guide

Incision Object Declaration

deepfitv.incision.Incision(<path of image>)

To identify incision image object detection run the object detection function run

deepfitv.incision.Incision(<path of image>).object_detection()

To classify the incisin image into less than 30 or post 30 days of surgery run

deepfitv.incision.Incision(<path of image>).classify_image()

License

Coming Soon

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

deepfitv-3.8-py3-none-any.whl (25.3 kB view details)

Uploaded Python 3

deepfitv-3.8-py2-none-any.whl (24.9 kB view details)

Uploaded Python 2

File details

Details for the file deepfitv-3.8-py3-none-any.whl.

File metadata

  • Download URL: deepfitv-3.8-py3-none-any.whl
  • Upload date:
  • Size: 25.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.6.0 requests-toolbelt/0.9.1 tqdm/4.29.1 CPython/2.7.15+

File hashes

Hashes for deepfitv-3.8-py3-none-any.whl
Algorithm Hash digest
SHA256 0712b12dcd71cbd4a92a65c873439d2828d52e9aff44e0fc635f050e18d01e99
MD5 4846f1d380931d622890c6bc7763d247
BLAKE2b-256 3205f5d3a88ac48b5e7b50fd09b18da8b7b0d7da63eb04bccea8819ab9780e2b

See more details on using hashes here.

File details

Details for the file deepfitv-3.8-py2-none-any.whl.

File metadata

  • Download URL: deepfitv-3.8-py2-none-any.whl
  • Upload date:
  • Size: 24.9 kB
  • Tags: Python 2
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.6.0 requests-toolbelt/0.9.1 tqdm/4.29.1 CPython/2.7.15+

File hashes

Hashes for deepfitv-3.8-py2-none-any.whl
Algorithm Hash digest
SHA256 9255d620d5406d2bf1bc7d431f936342e7cec6cf5e22870da7d2933360dabe68
MD5 fd0ebc5a7f5824db019166c596de5198
BLAKE2b-256 11a707fea241fc00448b550de81b044470be9d4693e50d3f78bc26ba3aef8b00

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page