Difference between revisions of "GstInference/Supported backends/NCSDK"
m |
|||
| Line 6: | Line 6: | ||
--> | --> | ||
| − | NCSDK Intel® Movidius™ Neural Compute SDK (Intel® Movidius™ NCSDK). | + | The NCSDK Intel® Movidius™ Neural Compute SDK (Intel® Movidius™ NCSDK) enables deployment of deep neural networks on compatible devices such as the Intel® Movidius™ Neural Compute Stick. The NCSDK includes a set of software tools to compile, profile, and validate DNNs as well as APIs on C/C++ and Python for application development. |
| + | |||
| + | The NCSDK has two general usages: | ||
| + | |||
| + | *Profiling, tuning, and compiling a DNN models. | ||
| + | *Prototyping user applications, that run accelerated with a neural compute device hardware, using the NCAPI. | ||
| + | |||
| + | =Installation= | ||
| + | |||
| + | You can install the NCSDK on a system running Linux directly, downloading a Docker container, on a virtual machine or using a Python virtual environment. Al the possible installation paths are documented on the [https://movidius.github.io/ncsdk/install.html official installation guide]. | ||
| + | |||
| + | =Tools= | ||
<noinclude> | <noinclude> | ||
{{GstInference/Foot|Supported backends|Example pipelines}} | {{GstInference/Foot|Supported backends|Example pipelines}} | ||
</noinclude> | </noinclude> | ||
Revision as of 21:23, 18 December 2018
 | Make sure you also check GstInference's companion project: R2Inference |
The NCSDK Intel® Movidius™ Neural Compute SDK (Intel® Movidius™ NCSDK) enables deployment of deep neural networks on compatible devices such as the Intel® Movidius™ Neural Compute Stick. The NCSDK includes a set of software tools to compile, profile, and validate DNNs as well as APIs on C/C++ and Python for application development.
The NCSDK has two general usages:
- Profiling, tuning, and compiling a DNN models.
- Prototyping user applications, that run accelerated with a neural compute device hardware, using the NCAPI.
Installation
You can install the NCSDK on a system running Linux directly, downloading a Docker container, on a virtual machine or using a Python virtual environment. Al the possible installation paths are documented on the official installation guide.
Tools
