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The table shows the match between detectors and neural networks:
| Detector | Neural models |
|---|---|
Barcode detection | GeneralNM barcodes |
Equipment detector (PPE) |
|
Fire detector | Fire scanned v1 |
Meta detector |
|
Neurocounter or Stopped object detector |
|
Neurotracker |
|
Pose detector |
|
Person-based privacy masking | General human pose estimation |
Privacy masking detector | Privacy masking origin |
Smoke detector | Smoke scanned v1 |
Water level detector | Water level rule net origin |
Custom neural networks | Allows you to generate a cache of a custom neural network, provided that the neural network can be run on a GPU |
Generating a cache
To generate a cache:
In the right part of the main window of the utility, set the checkboxes next to the neural networks for which you want to create a cache.
Click the
button in the lower right part of the window to go to the cache generation settings.In the window that opens, set the checkbox next to the video card for which the cache is created.
Note title Attention! Cache generation is only supported for NVIDIA graphics cards, as TensorRT technology doesn’t support other graphics cards.
- Configure the parameters of cache generation specified in the table:
Parameter Value Description Enable int8 calibration 
Note title Attention! This parameter is available only for neural networks with a corresponding *.info file.
By default, the checkbox is clear. To enable the Int8 quantization mode for a neural network, set the checkbox. Neural networks for which the quantization mode is available are included in the neural analytics package along with the *.info file of the same name
Enable verbose logging mode By default, the checkbox is clear. To enable logging of the process of initialization and cache generation, set the checkbox. Enabling the parameter provides detailed information about the cache generation process but increases the volume of logs and can slow down the generation process
Info title Note - Logs are saved in the directory C:\Users\<username>\.gpuCacheGenerator\logs.
- Previous logs are automatically deleted each time you run the utility.
The cache will be saved AXXONGPU Specify the directory of cache storage
Info title Note - If you don’t specify the GPU_CACHE_DIR system variable, by default, the cache is saved in the directory: C:\Users\<user_name>\.gpuCacheGenerator\ (see Appendix 9. Creating system variable).
- If you specify the GPU_CACHE_DIR system variable, the cache is saved at the path specified in it.
- When you select a cache directory via the utility, the value of the GPU_CACHE_DIR system variable is updated to the selected path.
Click the
button in the lower right part of the window to proceed to generating a cache for all selected neural networks.Info title Note - If you select several neural networks, they are processed one after another.
- The current progress status is displayed for each neural network.
Wait for the generation process to complete. If the cache is successfully generated, the created files are available for use by detectors.
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