semvec/pypi-packages huggingface dataset:
video-latency-test 0.0.7
A simple test for detecting video latency
Requires Python: >=3.6

# video-latency-test #

This project provides software for a simple video latency test,
utilizing the Linux framebuffer for video output and OpenCV for camera capture.

[![CircleCI](https://circleci.com/bb/pseudodesign/video-latency-test.svg?style=shield&circle-token=f44332ba64c8bb34b5379ad07c5de2af70104a2d)](https://circleci.com/bb/pseudodesign/video-latency-test)
[![codecov](https://codecov.io/bb/pseudodesign/video-latency-test/branch/master/graph/badge.svg?token=T4EX0YF66K)](https://codecov.io/bb/pseudodesign/video-latency-test)

## Usage

Run `video-latency-test` from the commandline.

```
root@raspberrypi4-64:~# video-latency-test -h
usage: video-latency-test [-h] [--frames FRAMES] [--hue HUE] [--csv CSV]
                          output_fb cv2_cap

Run a video latency test

positional arguments:
  output_fb        The name of the framebuffer to use, e.g. fb0
  cv2_cap          Index of the cv2 capture device, e.g. 0

optional arguments:
  -h, --help       show this help message and exit
  --frames FRAMES  Number of frames to capture for the test
  --hue HUE        Hue threshold (uses hue values of 0-180)
  --csv CSV        Location to save a CSV log of captured data

```
## Implementation

The `video-latency-test` executable accepts a VideoOutputInterface object, and a VideoCapture object,
then measures the latency between setting a color on the VideoOutputInterface and detecting
that color on the VideoCaptureInterface.  The base implementation, using a Linux Framebuffer
for the output and a USB camera for the input, is shown in the diagram below.

![video-latency-test-workflow](docs/images/video-latency-test-workflow.png "Video Latency Test Workflow")

### Video Output

#### Interface

#### Framebuffer Implementation

### Video Capture

#### Interface

#### Framebuffer Implementation

### Frame Types

Frame types provide a method of generating frames written to the Video Output device, 
along with a method of validating those frames from the Video Capture device.

#### Interface

#### Solid Colors
datacenter 0.0.2
datacenter-sdk and datacenter-cli for DataCenter@XARC
Requires Python: >=3.5
Keywords: datacenter

==============
DataCenter-SDK
==============


面向DataCenter-Service#XARC的sdk和cli工具



SDK 功能特性
-------------

* 数据工具
    * SMILES-转-SVG
    * SMILES-转-SDF
* 生化数据
    * 分子摘要、分子详情、分子搜索
    * 靶标摘要、靶标详情、靶标搜索
* 应用自有空间：
    * 数据上传（APP-TOKEN-ONLY）
    * 数据列表（APP-TOKEN-ONLY）
    * 数据下载 (PUBLIC)
* 数据集：
    * 见详细文档

CLI 功能特性
-------------

* 暂无

详细文档
----

+ 方法一：自行编译
    + 获取代码拷贝之后，在终端执行`make docs`
+ 方法二：内网访问
    + http://192.168.1.182/documents/datacenter-sdk-doc/







========
发版历史
========

0.0.1 (2020-10-28)
------------------

* First release on PyPI.

0.0.2 (2020-12-25)
------------------

第一次测试版本

SDK:

* 数据工具
    * SMILES-转-SVG
    * SMILES-转-SDF
* 生化数据
    * 分子摘要、分子详情、分子搜索
    * 靶标摘要、靶标详情、靶标搜索
* 应用自有空间：
    * 数据上传（APP-TOKEN-ONLY）
    * 数据列表（APP-TOKEN-ONLY）
    * 数据下载 (PUBLIC)
* 数据集：
    * 见详细文档