# qtimlvpose Source: [https://docs.qualcomm.com/doc/80-70022-50/topic/qtimlvpose.html](https://docs.qualcomm.com/doc/80-70022-50/topic/qtimlvpose.html) The qtimlvpose plugin processes output tensors of a pose estimation model from the ML inference plugin (such as qtimltflite, qtimlsnpe, and qtimlqnn) into result of predictions. Note: This plugin is going to be deprecated. ## Postprocessing Figure : Postprocessing for pose estimation architecture GST BIN GstBuffer + GstMemory: Contains a single tensor+ GstMemory: Contains next tensor and so on+ ... + GstVideoMeta: Describes the raw data of a single tensor + GstVideoMeta: Meta for the next tensor entry +... GstBuffer + GstMemory: Image maskkeypoints and pose skeletonmask Qualcomm Open source ML pre-process plugin Video source ML inference plugin qtimlpostprocess neural-network/tensors neural-network/tensors video/x-raw qtivcomposer video/x-raw The negotiated [GstCaps](https://gstreamer.freedesktop.org/documentation/gstreamer/gstcaps.html) on the plugin output determines the processed output, which can be either of the following: - An image mask (GstCaps: video/x-raw) that's applied over the original image using qtivcomposer. - The element uses the CPU-based [Cairo](https://www.cairographics.org) 2D graphics library to draw the prediction results in ION/DMA buffers. - The GstImageBufferPool custom buffer pool class allocates the ION/DMA buffers through IOCTL commands to the kernel. - A GStreamer-formatted text (GstCaps: text/x-raw) containing the prediction results. The prediction results are parsed into GStreamer-formatted string inside buffers allocated using regular system memory. The module and labels properties of the plugin determine the method for the postprocessing operations. - The module property specifies the postprocessing module and is populated dynamically at run time with the libraries available in `/usr/lib/gstreamer-1.0/ml/modules/` containing the prefix "`ml-vpose`-". - The labels property is a customized text file different for each machine learning detection model that you must provide for the prediction labels. Optional properties are available for adjusting the prediction results. - Use the results property to control the number of results that are displayed - Use the threshold property to set a confidence threshold for prediction. The results with low confidence aren't displayed. Figure : GstBuffer workflow with qtimlvpose GST BIN GstBuffer + GstMemory: Contains a single tensor+ GstMemory: Contains next tensor and so on+ ... + GstVideoMeta: Describes the raw data of a single tensor + GstVideoMeta: Meta for the next tensor entry +... GstBuffer + GstMemory: Post procesinginformation in Gstreamer textformat Qualcomm Open source ML pre-process plugin Video source ML inference plugin qtimlpostprocess neural-network/tensors neural-network/tensors video/x-raw qtimetamux text/x-rawformat=utf8 ## Inheritance chain [GObject](https://docs.gtk.org/gobject/) → [GstObject](https://gstreamer.freedesktop.org/documentation/gstreamer/gstobject.html?gi-language=c) → [GstElement](https://gstreamer.freedesktop.org/documentation/gstreamer/gstelement.html?gi-language=c) → [GstBaseTransform](https://gstreamer.freedesktop.org/documentation/base/gstbasetransform.html?gi-language=c) → GstMLVideoPose The following tables provide information on pad templates and element properties of qtimlvpose. For use cases, see the pose estimation use cases in [LiteRT use cases](https://docs.qualcomm.com/doc/80-70022-50/topic/tensorflow-lite-use-cases.html). ## Pad configuration | Pad Name | Capabilities | Capabilities | Capabilities | | --- | --- | --- | --- | | SINK template: 'sink'



*Availability:* On request



*Direction:* sink | neural-network/tensors | – | – | | SRC template: 'src'



*Availability:* Always



*Direction:* source | video/x-raw | format: | { (string)BGRA, (string)BGRx, (string)BGR16 } | | SRC template: 'src'



*Availability:* Always



*Direction:* source | text/x-raw | format: | { (string)utf8 } | | | | | | ## Element configuration Table : Element properties of qtimlvpose | Property | Description | | --- | --- | | name | The name of the object. | | parent | The parent of the object. | | qos | Handle Quality-of-Service events. | | module | Module name that's going to be used for processing the
tensors. | | labels | The file name of the labels. | | results | Number of results to display. | | threshold | Confidence threshold in %. | **Parent Topic:** [Configure ML plugins](https://docs.qualcomm.com/doc/80-70022-50/topic/inferencing-plugins.html) Last Published: Feb 20, 2026 [Previous Topic qtimlvsegmentation](https://docs.qualcomm.com/bundle/publicresource/80-70022-50/topics/qtimlvsegmentation.md) [Next Topic qtimlvsuperresolution](https://docs.qualcomm.com/bundle/publicresource/80-70022-50/topics/qtimlvsuperresolution.md)