...
The table shows the match between detectors and neural networks:
| Detector | Neural models |
|---|
Barcode detection | GeneralNM barcodes |
Equipment detector (PPE) | - Ppe helmet (head) general
- Ppe safety vest (body) general
- Ppe segmentation by pose origin
|
Fire detector | Fire scanned v1 |
Meta detector | - Blip img only
- Blip text only
|
Neurocounter or Stopped object detector | - GeneralNM car v1.0
- GeneralNM human v1.0
- GeneralNM human and vehicle large v1.0
- GeneralNM human and vehicle medium v1.0
- GeneralNM human and vehicle nano v1.0
- GeneralNM human top view large v1.0
- GeneralNM human top view medium v1.0
- GeneralNM human top view nano v1.0
- GeneralNM human top view v0.8
|
Neurotracker | - GeneralNM car v1.0
- GeneralNM human v1.0
- GeneralNM human and vehicle large v1.0
- GeneralNM human and vehicle medium v1.0
- GeneralNM human and vehicle nano v1.0
- GeneralNM human top view large v1.0
- GeneralNM human top view medium v1.0
- GeneralNM human top view nano v1.0
- GeneralNM human top view v0.8
- Dpe 1638 light pa 100 k (Person attribuetes recognition)
- Reid 15 0 256 osnetfpn segmentation noise 20 common 29 (Similitude)
|
Pose detector | - General human pose estimation
- General human pose estimation yolov8 large
- General human pose estimation yolov8 medium
- General human pose estimation yolov8 nano
|
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:
...
