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  1. To record mask to the archive (see Displaying information from a detection tool (mask)), set Yes for the corresponding parameter (1).
  2. If the camera supports multistreaming, select the stream for which detection is needed (2). 
  3. Select a processing resource for decoding video streams (3). 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 used for decoding.

  4. Set the frame rate value for the detection tool to process per second (4). This value should be in the range [0,016; 100]. 

  5. Select the processor for the neural network—CPU, one of NVIDIA GPUs, or one of Intel GPUs (5, see Hardware requirements for neural analytics operation, General information on configuring detection).

    Note
    titleAttention!
    • If you specify other processing resource than the CPU, this device will carry the most of computing load. However, the CPU will also be used to run the detection tool.
    • It may take several minutes to launch the algorithm on NVIDIA GPU after you apply the settings. You can use caching to speed up future launches (see Optimizing the operation of neural analytics on GPU).
    • Starting with Detector Pack 3.11, Intel HDDL and Intel NCS aren’t supported.


  6. Select the segmenting neural network file (6). The standard neural networks for different processor types are located in the C:\Program Files\Common Files\Grundig\DetectorPack\NeuroSDK directory. 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.

    Info
    titleNote

    For correct neural network operation on Linux, place the corresponding file in the /opt/Grundig/DetectorPack/NeuroSDK directory.

  7. Set the minimum number of frames in which the detection tool should detect objects in order to trigger (7). The value should be in the range [1; 20].
  8. Select Yes for all body parts that should be masked within FOV.
  9. Click the Apply button.

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