https://github.com/davidyslu/ncsdk-practice
This repository is used to practice some basic operations in Intel® Movidius™ NCSDK
https://github.com/davidyslu/ncsdk-practice
caffe intel movidius ncsdk tensorflow
Last synced: 21 days ago
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This repository is used to practice some basic operations in Intel® Movidius™ NCSDK
- Host: GitHub
- URL: https://github.com/davidyslu/ncsdk-practice
- Owner: davidyslu
- License: apache-2.0
- Created: 2018-12-17T13:45:43.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2019-01-28T08:59:21.000Z (over 6 years ago)
- Last Synced: 2025-05-14T10:33:24.032Z (21 days ago)
- Topics: caffe, intel, movidius, ncsdk, tensorflow
- Language: C
- Homepage: https://movidius.github.io/ncsdk/index.html
- Size: 138 MB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
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README
# Intel® Movidius™ NCSDK Practice
This repository is used to practice some basic operations in Intel® Movidius™ Neural Compute SDK (Intel® Movidius™ NCSDK) and the original repository is [here](https://github.com/movidius/ncsdk).
* **NOTICE:** The following opreations are used in **Ubuntu Linux 16.04 LTS**.
---
## Overview### Introduction
> The following descriptions are from [here](https://movidius.github.io/ncsdk/index.html).
The **Intel® Movidius™ Neural Compute SDK (Intel® Movidius™ NCSDK)** enables rapid prototyping and deployment of deep neural networks (DNNs) on compatible neural compute devices like the [Intel® Movidius™ Neural Compute Stick](https://movidius.github.io/ncsdk/ncs.html). The NCSDK includes a set of software tools to compile, profile, and check (validate) DNNs as well as the Intel® Movidius™ Neural Compute API (Intel® Movidius™ NCAPI) for application development in C/C++ or Python.
The NCSDK has two general usages:
* Profiling, tuning, and compiling a DNN model on a development computer (host system) with the [tools](https://movidius.github.io/ncsdk/tools/tools_overview.html) provided in the NCSDK.
* Prototyping a user application on a development computer (host system), which accesses the neural compute device hardware to accelerate DNN inferences using the [NCAPI](https://movidius.github.io/ncsdk/ncapi/readme.html).
### Intel® Movidius™ Neural Compute Stick (Intel® Movidius™ NCS)
* Prerequisite (one of the following)
* Intel® Movidius™ Neural Compute SDK (Intel® Movidius™ NCSDK)
* Neural Compute API (NCAPI)
* Interface
* USB 2.0 High Speed interface
* USB 3.0 High Speed interface
* Architecture
* Powered by *Intel® Movidius™ Myriad™ 2 vision processing unit (VPU)*
---
## Contents* [Tutorials](src/tutorials)
---
## ContributingTo know how to contribute this repository, please refer to this [document](CONTRIBUTING.md) first. Thanks for your cooperation.
---
## References* [Intel® Movidius™ Neural Compute SDK](https://movidius.github.io/ncsdk/index.html)
* [Intel® Movidius™ Neural Compute SDK Python API v2](https://movidius.github.io/ncsdk/ncapi/ncapi2/py_api/readme.html)
* [GitHub - movidius/ncsdk](https://github.com/movidius/ncsdk)
* [GitHub - movidius/ncappzoo](https://github.com/movidius/ncappzoo)
* [NCSDK Python API 2.x](https://movidius.github.io/ncsdk/ncapi/ncapi2/py_api/readme.html)
* [NCSDK C API 2.x](https://movidius.github.io/ncsdk/ncapi/ncapi2/c_api/readme.html)
* [Intel® Movidius™ Forum](https://ncsforum.movidius.com/)---
## Contributor* [David Lu](https://github.com/yungshenglu)
---
## License[Apache License 2.0](LICENSE)