Deep Learning Object Detection for LabVIEW (ODHUB)
Deep Learning Object Detection for LabVIEW helps you train deep learning models for computer vision tasks.
Deep Learning Object Detection for LabVIEW (ODHUB) is application software that you can use to train deep learning models for defect detection, product counting, and abnormality detection. ODHUB does not require any programming skills or strong deep learning knowledge to implement common object detection models, including Single Shot MultiBox Detector (SSD), Faster R-CNN, and EfficientDet. You can use native APIs to load models exported from ODHUB into LabVIEW applications directly—both ODHUB and native LabVIEW APIs support GPUs to accelerate training and inference speed. Additionally, you can use ODHUB to export optimized deep learning models that are deployable in edge devices such as Jetson Nano from NVIDIA or Raspberry Pi.