To configure the Human pose detector, do the following:
- Go to the
Detection Tools- Detectors tab.
- Below the required camera, click Create… → Category: Poses → Human pose detector.
By default, the detection tool detector is enabled and set to detect poses.
If necessary, you can change the detection tool detector parameters. The list of parameters is given in the table:
| Parameter | Value | Description |
|---|
| Object features |
| Record objects tracking | Yes | The metadata of the video stream is recorded to the database by default. To disable the parameter, select the No value |
| No |
| Video stream | Main stream | If the camera supports multistreaming, select the stream for which detection is needed. Selecting a low-quality video stream allows reducing the load on the |
Server| server. |
| Second stream |
| Other |
| Enable | Yes | The |
detection tool | detector is enabled by default. To disable |
the detection tool| , select the No value |
| No |
| Name | Human pose detector | Enter the |
detection tool | detector name or leave the default name |
| Decoder mode | Auto | Select a processing resource for decoding video streams. When you select a GPU, a stand-alone graphics card takes priority (when decoding with NVIDIA NVDEC chips). If there is no appropriate GPU, the decoding will use the Intel Quick Sync Video technology. Otherwise, CPU resources |
will be | are used for decoding |
| CPU |
| GPU |
| HuaweiNPU |
| Number of frames processed per second | 3 | Specify the number of frames that the |
detection tool detector will process per second. The value must be in the |
range range [0.016; 100] | Note |
|---|
| With static persons in the scene, set the FPS to no less than 2. With moving persons in the scene, the FPS must be at least 4. The higher the FPS value, the higher the accuracy of pose detection, but the load on the selected processor is higher as well. For FPS |
|
= will be is no less than 70%. This parameter varies depending on the object speed of movement. To solve typical tasks, an FPS value from 3 to 20 is sufficient. Examples: - pose detection for moderately moving objects (without sudden movements)—FPS 3;
- pose detection for moving objects—FPS 12.
|
|
| Type | Human pose detector | Name of the |
detection tool | detector type (non-editable field) |
Advanced settings If detection of small objects or objects in areas far away from the camera is ineffective, you can use the scanning mode (see Configuring the scanning mode). |
This This mode doesn’t provide absolute detection accuracy |
, but can improve detection performance |
| Neural network file |
Select
| Specify a neural network file. The standard neural networks for different processor types are located in the C:\Program Files\Common Files\AxxonSoft\DetectorPack\NeuroSDK directory. |
You You don't need to select the standard neural networks in this field, the system will automatically select the required one. If you use a custom neural network, enter a path to the file. |
infoNote | For the | Note |
|---|
|
| - You cannot specify the network file in Windows OS. You must place the neural network file locally, that is, on the same server where you install Axxon One.
- For correct neural network operation on Linux OS, place the corresponding file locally in the /opt/AxxonSoft/DetectorPack/NeuroSDK directory
|
|
. - or in the network folder with the corresponding access rights.
|
|
The | The scanning mode is disabled by default. To enable the scanning mode, select |
the | the Yes value |
| No |
| Scanning window height | 540 | The height and width of the scanning window are determined according to the actual size of the frame and the required number of windows. For example, the real frame size is 1920×1080 pixels. To divide the frame into four equal windows, set the width of the scanning window to 960 pixels and the height to 540 pixels |
| Scanning window step height | 540 | The scanning step determines the relative offset of the windows. If the step is equal to the height and width of the scanning window, respectively, the segments will line up one after another. Reducing the height or width of the scanning step will increase the number of windows due to their overlapping each other with an offset. This will increase the detection accuracy |
, but will also increase the CPU load | Note |
|---|
| The height and width of the scanning step must not be greater than the height and width of the scanning window. The |
|
detection tool detector won't operate with such settings. |
|
| Scanning window step width | 480 | The scanning step determines the relative offset of the windows. If the step is equal to the height and width of the scanning window, respectively, the segments will line up one after another. Reducing the height or width of the scanning step will increase the number of windows due to their overlapping each other with an offset. This will increase the detection accuracy |
, but will also increase the CPU load | Note |
|---|
| The height and width of the scanning step must not be greater than the height and width of the scanning window. The |
|
detection tool detector won't operate with such settings. |
|
| Scanning window width | 480 | The height and width of the scanning window are determined according to the actual size of the frame and the required number of windows. For example, the real frame size is 1920×1080 pixels. To divide the frame into four equal windows, set the width of the scanning window to 960 pixels and the height to 540 pixels |
Track lifespan (starting with Detector Pack 3.14)
| Yes | By default, the parameter is disabled. If you want to display the track lifespan for an object in seconds, select the Yes value |
| No |
| Basic settings |
Mode
| CPU | Select the operation mode of the |
detection tool and other - another processing resource than the CPU, this device
|
|
will carry the - carries most of the computing load.
|
|
However will be detection tool- detector.
- For the Person Down Detection and Sitting Person Detection, the accuracy can depend on the selected processor. If the recognition quality deteriorates when you change the processor, we recommend selecting the best values of the detector parameters
|
|
of detection tools - and configuring perspective empirically (see Sitting person detector, Person down detector).
- Starting with Detector Pack 3.11, Intel HDDL and Intel NCS aren’t supported.
- Starting with Detector Pack 3.14, Intel Multi-GPU and Intel GPU 0-3 are supported.
|
|
| Nvidia GPU 0 |
| Nvidia GPU 1 |
| Nvidia GPU 2 |
| Nvidia GPU 3 |
| Intel NCS (not supported) |
| Intel HDDL (not supported) |
| Intel GPU |
| Intel Multi-GPU |
| Intel GPU 0 |
| Intel GPU 1 |
| Intel GPU 2 |
| Intel GPU 3 |
| Huawei NPU |
Pose estimation neural network (starting with Detector Pack 3.14)
| Pose estimation | Select a pose estimation neural network. The names may indicate the size of the neural network. The size (Nano, Middle, Large) of the neural network indicates the amount of resources consumed. The larger the neural network, the higher the accuracy but the higher the loadon the processor |
| Pose estimation (Nano) |
| Pose estimation (Middle) |
| Pose estimation (Large) |
| Neural network filter |
Neural filter
| Yes | Neural filter is disabled by default. To use the neural filter to filter out parts of tracks, select the Yes value |
| No |
| Neural filter file |
| Select a neural network file |
By default, the entire frame is a detection area. In the preview window, you can specify the custom detection areas and skip areas. To specify areas, right-click the frame , and select the required area (see see Configuring a skip area, Configuring a detection area).
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The following logic is used for this:
- if you specify only detection areas, no detection
...
- is performed in all other parts of the frame;
- if you specify only skip areas, detection
...
- is performed in all other parts of the frame.
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| Info |
|---|
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- For convenience of configuration, you can "freeze" the frame. Click the
 Image Modified button. To cancel the action, click this button again. - The detection area is displayed by default. To hide it, click the
 Image Modified button. To cancel the action, click this button again. - To delete the selected area, click the
 Image Modified button.
|
To save the parameters of the detection tooldetector, click the Apply 
Image Modified button. To cancel the changes, click the Cancel 
Image Modified button.
Configuring the Human pose detector is complete. If necessary, you can create and configure the required sub-detectors on the basis of the Human pose detector (see Configuring the Human pose detector sub-detectors).
