zinelkp.blogg.se - Smi eye tracking

Learn how to show live inference, and optimize and quantize a segmentation model.

Apply 8-bit quantization with a neural network compression framework to optimize your Keras and TensorFlow or PyTorch models.

Use your laptop and webcam to run demonstrations for object detection and human pose estimation.

Additional Jupyter* Notebook tutorials:.Minor capability changes and bug fixes to the Open Model Zoo, specifically issues that affected the Accuracy Checker in the Deep Learning Workbench.Functional performance improvements to testing and accuracy, fixes to bugs that caused performance degradation for several models, fixed heap-use-after-free, and memory leaks.Added support for the 12th generation Intel® Core™ processor family that enables Intel® Gaussian & Neural Accelerator (Intel® GNA) 3.0 and Intel GNA generation with native 2D convolutions.Inference Engine (plug-ins for Inference Engine Python* API, C API, GPU, Intel® Movidius™ Myriad™ VPU, HDDL, and Intel® Gaussian & Neural Accelerator).Model Optimizer, specifically issues causing accuracy regression.Specific fixes, capability improvements, and support updates to known issues with:.Support for the 12th generation Intel® Core™ processor family that is built on the Intel 7 processor with new performance hybrid architecture that delivers enhancements in multithreaded performance to handle compute-intensive workloads.