GstInference/Example pipelines with hierarchical metadata/PC: Difference between revisions
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search_option("ncsdk","NCSDK","backend","add"); | search_option("ncsdk","NCSDK","backend","add"); | ||
search_option(" nvarguscamerasrc","nvarguscamerasrc","source","remove"); | search_option(" nvarguscamerasrc","nvarguscamerasrc","source","remove"); | ||
search_option(" videoconvert ! 'video/x-raw,format=I420' ! nvvidconv ! nvoverlaysink","nvoverlaysink","sink","remove"); | |||
} else { | } else { | ||
search_option("ncsdk","NCSDK","backend","remove"); | search_option("ncsdk","NCSDK","backend","remove"); | ||
search_option(" nvarguscamerasrc","nvarguscamerasrc","source","add"); | search_option(" nvarguscamerasrc","nvarguscamerasrc","source","add"); | ||
search_option(" videoconvert ! 'video/x-raw,format=I420' ! nvvidconv ! nvoverlaysink","nvoverlaysink","sink","add"); | |||
} | } | ||
} | } | ||
| Line 518: | Line 520: | ||
enable_element("fontscale"); | enable_element("fontscale"); | ||
enable_element("style"); | enable_element("style"); | ||
overlay = " | overlay = " fakesink net.src_bypass ! queue ! inferenceoverlay !"; | ||
} else { | } else { | ||
disable_element("thickness"); | disable_element("thickness"); | ||
| Line 571: | Line 573: | ||
if(overlay != "") { | if(overlay != "") { | ||
overlay = " fakesink net.src_bypass ! queue | overlay = " fakesink net.src_bypass ! queue ! inferenceoverlay !"; | ||
var thickness= document.getElementById("thickness").value; | var thickness= document.getElementById("thickness").value; | ||
var fontscale=document.getElementById("fontscale").value; | var fontscale=document.getElementById("fontscale").value; | ||
Revision as of 16:15, 13 March 2020
 | Make sure you also check GstInference's companion project: R2Inference |
| GstInference |
|---|
 |
| Introduction |
| Getting started |
| Supported architectures |
|
InceptionV1 InceptionV3 YoloV2 AlexNet |
| Supported backends |
|
Caffe |
| Metadata and Signals |
| Overlay Elements |
| Utils Elements |
| Legacy pipelines |
| Example pipelines |
| Example applications |
| Benchmarks |
| Model Zoo |
| Project Status |
| Contact Us |
 |
Sample pipelines
The following section contains a tool for generating simple GStreamer pipelines with one model of a selected architecture using our hierarchical inference metadata. If you are using and older version, you chan check the legacy pipelines section. Please make sure to check the documentation to understand the property usage for each element.
The required elements are:
- Backend
- Model
- Model location
- Labels
- Source
- Sink
The optional elements include:
- inferencefilter
- inferencrop
- inferenceoverlay
Pipeline generator
The following tool will provide simple pipelines according to the selected elements.
Advanced pipelines