Topic: model-optimizer Goto Github
Some thing interesting about model-optimizer
Some thing interesting about model-optimizer
model-optimizer,Adlik: Toolkit for Accelerating Deep Learning Inference
Organization: adlik
model-optimizer,Model optimizer used in Adlik.
Organization: adlik
model-optimizer,Latest YOLO models inferencing using Intel Openvino toolkit
User: bethusaisampath
model-optimizer,YOLOv5 inferencing using Intel Openvino toolkit
User: bethusaisampath
model-optimizer,Explore the OpenVINO toolkit, focusing on components like model zoo, inference engine, and model optimizer, and how they can be used to perform deep learning and computer vision tasks.
Organization: develop-packt
model-optimizer,How to export PyTorch models with unsupported layers to ONNX and then to Intel OpenVINO
User: dkurt
Home Page: https://github.com/openvinotoolkit/openvino
model-optimizer,Serving Face Detection and Recognition Based on arc-face
User: docongminh
model-optimizer,Dockerfile for converting a frozen Tensorflow model to OpenVINO™ Intermediate Representation (IR) using Model Optimizer (MO)
User: knightwhosayni
model-optimizer,This sample shows how to convert TensorFlow model to OpenVINO IR model and how to quantize OpenVINO model.
User: likholat
model-optimizer,autooptimizer is a python package for optimize machine learning algorithms.
User: mrb987
Home Page: https://genesiscube.ir/autooptimizer/
model-optimizer,Keras to Tensorflow test for Neural Compute Stick 2
User: mreliptik
model-optimizer,This includes the basics of AI at the Edge, leverage pre-trained models available with the Intel® Distribution of OpenVINO Toolkit™, convert and optimize other models with the Model Optimizer, and perform inference with the Inference Engine.
User: otien0
model-optimizer,Dockerfile to build Intel® Distribution of OpenVINO™ Toolkit docker image for Raspberry Pi
User: tuan-l
model-optimizer,ai-zipper offers numerous AI model compression methods, also it is easy to embed into your own source code
User: underflow101
model-optimizer,Trabajo Fin de Máster: Estudio comparativo de un clasificador de imágenes en Raspberry Pi, de forma que se compara el tiempo de la inferencia en la Raspberry Pi con y sin el Neural Compute Stick (NCS). También se estudia como la complejidad de una red neuronal repercute en el tiempo de inferencia y se analiza si los tiempos obtenidos con el NCS en la Raspberry Pi se igualan a los conseguidos por la CPU del portátil y a los de una GPU de Google Colab.
User: valderas7
model-optimizer,Set up and run OpenVINO in Docker Ubuntu Environment on Intel CPU with Integrated Graphics
User: vuiseng9
model-optimizer,Demonstrates how to divide a DL model into multiple IR model files (division) and introduce a simplest way to implement a custom layer works with OpenVINO IR models.
User: yas-sim
model-optimizer,AI based image classification inspired MobileNet V2 architecture by implementing changes in base architecture and details about using it as a quick response model (proposition) for rapid application as well as comparing it with other models for the same application.
User: yvgupta03
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