HOG Object Detector by 4SmartMachines Detect rigid or semi-rigid objects in images
| Starting at | $ 99 | (view pricing options) |
- Detect rigid and semi-rigid objects like faces, animals, traffic signs, cars, ...
- Train on your own images and objects
- Very short training time
- Very fast execution (does not need a GPU)
- Very low false detection rate
- Good results even on a small number of training images
- Download
The VIs in this collection can train and execute a HOG (Histogram of Oriented Gradients) object detector. This is a powerful detector for objects like traffic signs, faces, animals, etc.
The main features are:
- short training time (only a couple of minutes)
- very fast execution
- very low false detection rate
- good results even on a small number of training images
Train the detector on your own images. All you have to provide are bounding boxes of example objects on a number of training images. The training times and execution times are much lower when compared to detectors based on deep learning while still achieving good detection results.
Support Information
This product is supported by the third-party provider and not by NI. For more information, contact 4SmartMachines at:
Website: www.4smartmachines.com
Email: support@4smartmachines.com
Disclaimer: The Third-Party Add-Ons for LabVIEW on this page are offered by independent third-party providers who are solely responsible for these products. NI has no responsibility whatsoever for the performance, product descriptions, specifications, referenced content, or any and all claims or representations of these third-party providers. NI makes no warranty whatsoever, neither express nor implied, with respect to the goods, the referenced contents, or any and all claims or representations of the third-party providers
The main features are:
- short training time (only a couple of minutes)
- very fast execution
- very low false detection rate
- good results even on a small number of training images
Train the detector on your own images. All you have to provide are bounding boxes of example objects on a number of training images. The training times and execution times are much lower when compared to detectors based on deep learning while still achieving good detection results.
Support Information
This product is supported by the third-party provider and not by NI. For more information, contact 4SmartMachines at:
Website: www.4smartmachines.com
Email: support@4smartmachines.com
Disclaimer: The Third-Party Add-Ons for LabVIEW on this page are offered by independent third-party providers who are solely responsible for these products. NI has no responsibility whatsoever for the performance, product descriptions, specifications, referenced content, or any and all claims or representations of these third-party providers. NI makes no warranty whatsoever, neither express nor implied, with respect to the goods, the referenced contents, or any and all claims or representations of the third-party providers
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