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You may take a look on these parameters for each OMZ model, in file model yml and call MO with these params, but OMZ script will do this in more easy way for you, just call python converter py --name faster_rcnn_resnet50_coco
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Hey folks, My model server is not coming up, this was working fine couple of months back and now stopped working, any insights I am using this repo
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Hello, I generated a pb model using Keras and tensorflow (version 1 14 0-rc1) with transfer learning method using ResNet50 Below the command used
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Hello, it is possible to quantize model with using Post Optimization Toolkit and in Open Model Zoo we provide for convenience the script, which simplify the task (it will call POT with appropriate parameters) and quantize model, see Model Quantizer Usage section of Open Model Zoo documentation Note
- Re:landmarks-regression-retail-0009 vs retinaface-resnet50-pytorch . . .
Hi, to validate this, could you provide: The relevant model files Steps commands that you used in conversion inferencing OpenVINO sample application that you use inferencing code I believe you are using Intel pre-trained model, did you implement any modifications to the model? Cordially, I
- Deep Learning Performance Boost by Intel VNNI
Key Takeaways Learn how Intel Deep Learning Boost instructions helps on the performance improvement for deep learning workload with 2nd and 3rd Gen Intel Xeon Scalable Processors Get started with toolkit and deep learning frameworks developed and optimized by Intel to deploy the low-precision infe
- MLPerf™ Performance Gains Abound with latest 3rd Generation Intel® Xeon . . .
Not only does the new 3rd Gen Xeon processors deliver more compute and memory capacity bandwidth than the previous generation, the processors also provide a big jump in per-socket performance – for example, up to 46 percent more compared to the previous generation on ResNet50-v1 5 in MLPerf Inference v0 7
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ResNet50 model inference execution guidance on Model Zoo BERT-Large model inference execution guidance on Model Zoo Authors: Ewelina Kamyszek - Cloud Solutions Engineer, DCAI CESG Intel Group Patryk Wolsza - Cloud Solutions Architect, vExpert DCAI CESG Intel Group Learn more about the Intel and VMware Partnership and Data Center solutions
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