EVA is a visual data management system (think MySQL for videos).
Project description
EVA (Exploratory Video Analytics)
What is EVA?
EVA is a visual data management system (think MySQL for videos). It supports a declarative language similar to SQL and a wide range of commonly used computer vision models.
What does EVA do?
-
EVA enables querying of visual data in user facing applications by providing a simple SQL-like interface for a wide range of commonly used computer vision models.
-
EVA improves throughput by introducing sampling, filtering, and caching techniques.
-
EVA improves accuracy by introducing state-of-the-art model specialization and selection algorithms.
Installation
EVA requires Python 3.7 or later. To install EVA, we recommend using pip:
pip install evadb
For information on installing from source and contributing to EVA, see our contributing guidelines.
Documentation
You can find documentation and code snippets for EVA here.
Contributors
See the people page for the full listing of contributors.
License
Copyright (c) 2018-2020 Georgia Tech Database Group Licensed under the Apache License.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file evatestdb-0.0.51.tar.gz.
File metadata
- Download URL: evatestdb-0.0.51.tar.gz
- Upload date:
- Size: 135.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.2 importlib_metadata/4.6.4 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/3.7.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 9d037a187064b4e0afb9b19c02377d74db730aa85d1ec71f6e52da3dfd175c41 |
|
| MD5 | a89663bcbdc8a8af6d22bb03fb70412a |
|
| BLAKE2b-256 | b069baae9f8b2d80f11b2a837e1c86c37238573f4f2b5d2d94918c0d2f75c0e7 |
File details
Details for the file evatestdb-0.0.51-py3-none-any.whl.
File metadata
- Download URL: evatestdb-0.0.51-py3-none-any.whl
- Upload date:
- Size: 233.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.2 importlib_metadata/4.6.4 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/3.7.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 4bbf28a18648ca43eb35af6a111b02e0f4696b251e8d30c2de56584fc0108a52 |
|
| MD5 | a7567df2bf496ddfa7788ac2e2843a88 |
|
| BLAKE2b-256 | bff646742f95a8183f06b7934b2f4274e9e45973b457479ca356ee4202462029 |
