deepfitv 4.0

deepfit package

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)

• Getting Started
• Programming Guide
• vLife
• License

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()

Prerequisites

To run the Incision Object Image use case one would need to download the model h5 files which we have developed and copy in the directory

Incision/models

[https://github.com/Virtusa-vLife/DeepFit/releases/download/deepfit/Image_classification.h5]

[https://github.com/Virtusa-vLife/DeepFit/releases/download/deepfit/detection_model.h5]

[https://github.com/OlafenwaMoses/ImageAI/releases/download/essential-v4/pretrained-yolov3.h5]

download reference json at

 Incision/json

[https://github.com/Virtusa-vLife/DeepFit/releases/download/deepfit/detection_config.json]

License

Coming Soon