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open_vision_capsules's Introduction

OpenVisionCapsules

Documentation Status

This repository contains the OpenVisionCapsules SDK, a set of Python libraries for encapsulating machine learning and computer vision algorithms for intelligent video analytics.

Encapsulating an algorithm allows it to be deployed as a single, self-describing file that inputs and outputs data in a standard format. This makes deployment and integration significantly easier than starting with a model file or a snippet of source code. Capsules are descriptive of their input and output requirements, allowing OpenVisionCapsules to route data between capsules automatically.

This project is split into two packages, vcap and vcap-utils. vcap contains the necessary facilities to create and encapsulate an algorithm. vcap-utils contains a set of utilities that make encapsulating algorithms of certain types easier.

Project Status

OpenVisionCapsules is in a developer preview phase. We're looking for developer feedback before reaching a stable 1.0 release. If you find any bugs or have suggestions, please open an issue.

Getting Started

Take a look at the documentation here.

A couple example capsules are available under vcap/examples, demonstrating how to create classifier and detector capsules from TensorFlow models.

Installation

To install OpenVisionCapsules locally, clone the repository and run the following commands to install the vcap and vcap-utils packages in the current environment.

pip3 install -e ./vcap
pip3 install -e ./vcap_utils

Examples

To make use of the example capsules in the vcap/examples/ directory, make sure to run the tests with pytest (from the root of the repo). The tests download all the necessary models and images, including the models for the example capsules.

A repository of open source capsules can be found here.

open_vision_capsules's People

Contributors

apockill avatar brycebeagle avatar leefrank9527 avatar nikhil1o1 avatar stephenli2000 avatar vardhan-kaashikar avatar velovix avatar vishalsingha avatar

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open_vision_capsules's Issues

Remove allow_growth=True so applications can configure this instead

Right now we set GPU options for all GPUs to allow memory growth, and there isn't a way for applications to change this behavior. We should instead not touch the GPU options and let applications configure this value by setting the TF_FORCE_GPU_ALLOW_GROWTH environment variable.

Port documentation over from BrainFrame

We have documentation powered by Mkdocs for capsules, but they're currently included in the BrainFrame distribution instead of through this repository. This issue is to move that documentation over to this repository and to make it available on Read the Docs.

Add tool for running inference on capsules

I'll probably add more features in future PR's, but here's something quick and dirty to make capsule development without external engines (cough BrainFrame cough) easier.

Brainframe client stream not working

Hi,
Great work!
I try to install brainframe server with Ubuntu 20 in WSL2 on windows. I also use the brainframe client (windows version) connect using localhost. Connection success!

But when I try to connect to the webcam and load AVI file. It failed and does not shows any stream. I have registered in aotu.ai and obtained the community license (7 days).

Could anyone on the team assist? Thanks.

Switch to TensorFlow 2

TensorFlow 1 has been at the end of its life for a while. Now that the TensorFlow Object Detector API is using TensorFlow 2, it seems the community has moved on as well. It's time for us to join the pack!

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