gvaclassify
gvaclassify#
Performs object classification. Accepts the ROI or full frame as an input and outputs classification results with metadata.
Pad Templates:
SRC template: 'src'
Availability: Always
Capabilities:
video/x-raw
format: { (string)BGRx, (string)BGRA, (string)BGR, (string)NV12, (string)I420 }
width: [ 1, 2147483647 ]
height: [ 1, 2147483647 ]
framerate: [ 0/1, 2147483647/1 ]
video/x-raw(memory:DMABuf)
format: { (string)RGBA, (string)I420 }
width: [ 1, 2147483647 ]
height: [ 1, 2147483647 ]
framerate: [ 0/1, 2147483647/1 ]
video/x-raw(memory:VASurface)
format: { (string)NV12 }
width: [ 1, 2147483647 ]
height: [ 1, 2147483647 ]
framerate: [ 0/1, 2147483647/1 ]
SINK template: 'sink'
Availability: Always
Capabilities:
video/x-raw
format: { (string)BGRx, (string)BGRA, (string)BGR, (string)NV12, (string)I420 }
width: [ 1, 2147483647 ]
height: [ 1, 2147483647 ]
framerate: [ 0/1, 2147483647/1 ]
video/x-raw(memory:DMABuf)
format: { (string)RGBA, (string)I420 }
width: [ 1, 2147483647 ]
height: [ 1, 2147483647 ]
framerate: [ 0/1, 2147483647/1 ]
video/x-raw(memory:VASurface)
format: { (string)NV12 }
width: [ 1, 2147483647 ]
height: [ 1, 2147483647 ]
framerate: [ 0/1, 2147483647/1 ]
Element has no clocking capabilities.
Element has no URI handling capabilities.
Pads:
SRC: 'src'
SINK: 'sink'
Element Properties:
async-handling : The bin will handle Asynchronous state changes
flags: readable, writable
Boolean. Default: false
attach-tensor-data : If true, metadata will contain both post-processing results and raw tensor data. If false, metadata will contain post-processing results only.
flags: readable, writable
Boolean. Default: true
batch-size : Number of frames batched together for a single inference. If the batch-size is 0, then it will be set by default to be optimal for the device. Not all models support batching. Use model optimizer to ensure that the model has batching support.
flags: readable, writable
Unsigned Integer. Range: 0 - 1024 Default: 0
cpu-throughput-streams: Sets the cpu-throughput-streams configuration key for OpenVINO™ Toolkit's cpu device plugin. Configuration allows for multiple inference streams for better performance. Default mode is auto. See OpenVINO™ Toolkit CPU plugin documentation for more details
flags: readable, writable, deprecated
Unsigned Integer. Range: 0 - 4294967295 Default: 0
device : Target device for inference. Please see OpenVINO™ Toolkit documentation for list of supported devices.
flags: readable, writable
String. Default: "CPU"
device-extensions : Comma separated list of KEY=VALUE pairs specifying the Inference Engine extension for a device
flags: readable, writable
String. Default: ""
gpu-throughput-streams: Sets the gpu-throughput-streams configuration key for OpenVINO™ Toolkit's gpu device plugin. Configuration allows for multiple inference streams for better performance. Default mode is auto. See OpenVINO™ Toolkit GPU plugin documentation for more details
flags: readable, writable, deprecated
Unsigned Integer. Range: 0 - 4294967295 Default: 0
ie-config : Comma separated list of KEY=VALUE parameters for Inference Engine configuration
flags: readable, writable
String. Default: ""
inference-interval : Run inference for every Nth frame
flags: readable, writable
Unsigned Integer. Range: 1 - 4294967295 Default: 1
inference-region : Identifier responsible for the region on which inference will be performed
flags: readable, writable
Enum "GvaInferenceBinRegion" Default: 1, "roi-list"
(0): full-frame - Perform inference for full frame
(1): roi-list - Perform inference for roi list
labels : Path to file containing model's output layer labels or comma separated list of KEY=VALUE pairs where KEY is name of output layer and VALUE is path to labels file. If provided, labels from model-proc won't be loaded
flags: readable, writable
String. Default: ""
message-forward : Forwards all children messages
flags: readable, writable
Boolean. Default: false
model : Path to inference model network file
flags: readable, writable
String. Default: ""
model-instance-id : Identifier for sharing resources between inference elements of the same type. Elements with the instance-id will share model and other properties. If not specified, a unique identifier will be generated.
flags: readable, writable
String. Default: ""
model-proc : Path to JSON file with description of input/output layers pre-processing/post-processing
flags: readable, writable
String. Default: ""
name : The name of the object
flags: readable, writable, 0x2000
String. Default: "gvaclassifybin0"
nireq : Number of inference requests
flags: readable, writable
Unsigned Integer. Range: 0 - 1024 Default: 0
no-block : (Experimental) Option to help maintain frames per second of incoming stream. Skips inference on an incoming frame if all inference requests are currently processing outstanding frames
flags: readable, writable
Boolean. Default: false
object-class : Filter for Region of Interest class label on this element input
flags: readable, writable
String. Default: ""
parent : The parent of the object
flags: readable, writable, 0x2000
Object of type "GstObject"
pre-process-backend : Preprocessing backend type
flags: readable, writable
Enum "GvaInferenceBinBackend" Default: 0, "auto"
(0): auto - Automatic
(4): ie - Inference Engine
(8): opencv - OpenCV
(6): vaapi - VAAPI
(7): vaapi-surface-sharing - VAAPI Surface Sharing
pre-process-config : Comma separated list of KEY=VALUE parameters for image processing pipeline configuration
flags: readable, writable
String. Default: ""
reclassify-interval : Determines how often to reclassify tracked objects. Only valid when used in conjunction with gvatrack.
The following values are acceptable:
- 0 - Do not reclassify tracked objects
- 1 - Always reclassify tracked objects
- N (>=2) - Tracked objects will be reclassified every N frames. Note the inference-interval is applied before determining if an object is to be reclassified (i.e. classification only occurs at a multiple of the inference interval)
flags: readable, writable
Unsigned Integer. Range: 0 - 4294967295 Default: 1
reshape : Enable network reshaping. Use only 'reshape=true' without reshape-width and reshape-height properties if you want to reshape network to the original size of input frames. Note: this feature has a set of limitations. Before use, make sure that your network supports reshaping
flags: readable, writable
Boolean. Default: false
reshape-height : Height to which the network will be reshaped.
flags: readable, writable
Unsigned Integer. Range: 0 - 4294967295 Default: 0
reshape-width : Width to which the network will be reshaped.
flags: readable, writable
Unsigned Integer. Range: 0 - 4294967295 Default: 0