Introduction to BertTiny and deployment of OpenVINO
1, Bert introduction
bert is a language model technology applied in NLP field, and Transformer, Encoder and Decoder are its core technologies. The purpose of this blog is to teach you to get started bert quickly.
1.1 what problems can Bert solve
1. Combined with the context understanding semantics, it extracts all the referential relationshi ...
Added by oscar2 on Wed, 09 Mar 2022 11:15:44 +0200
OpenVINO application case: deploy YOLO model to edge computing camera
1, Implementation path
Deploy the YOLO model to the edge computing camera through OpenVINO. Its implementation path is: training (YOLO) - > transformation (OpenVINO) - > deployment and operation (OpenNCC).
2, Specific steps
1. Training YOLO model
1.1 installation environment dependency
For installation details, see https://github.co ...
Added by msimonds on Sat, 05 Mar 2022 12:50:11 +0200
OpenVINO real-time 3D point cloud extraction of face surface
https://opencv.org/how-to-speed-up-deep-learning-inference-using-openvino-toolkit-2/ Real-time Facial Surface Geometry from Monocular Video on Mobile GPUs https://arxiv.org/pdf/1907.06724.pdf https://github.com/thepowerfuldeez/facemesh.pytorch
Introduction to face cloud extraction (facesh)
In 2019, there was a paper on real-time 3D point c ...
Added by rhaggert on Tue, 01 Feb 2022 00:11:15 +0200
Add Diou NMS index in OpenVINO precision Checker tool to obtain the correct mAP of YOLO v4
catalogue 1.0 introduction 5 2.0 setting environment 6 3.0 step 7 of adding Diou NMS 3.1. Install accuracy Checker tool 7 3.2. edit "/opt/intel/openvino_2021/deployment_tools/open_model_zoo/tools/accuracy_checker/ac curacy_checker/postproces sor/nms.py" 7 4.0 checking yolo-v4-tf model accuracy with Diou NMS 10 4.1. Download and transform yolo ...
Added by jazappi on Tue, 18 Jan 2022 23:26:00 +0200