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README.md
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# Introduction
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This repository stores the model for YOLOv3, compatible with Kalray's neural network API. </br>
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Please see www.github.com/kalray/kann-models-zoo for details and proper usage. </br>
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# Contents
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- ONNX: yolov3.optimized.onnx
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- Tensorflow: yolov3.pb
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# Lecture note reference
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# Repository or links references
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- https://github.com/
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- config: https://
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- weights: https://
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BibTeX entry and citation info
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```
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year={ 2018 }
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}
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```
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# Introduction
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This repository stores the model for YOLOv3, compatible with Kalray's neural network API. </br>
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Please see https://www.github.com/kalray/kann-models-zoo for details and proper usage. </br>
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# Contents
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- ONNX: yolov3.optimized.onnx
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# Lecture note reference
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# Repository or links references
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- soruce code : https://github.com/ultralytics/yolov3/
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- config: https://github.com/ultralytics/yolov3/blob/master/models/yolov3.yaml
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- weights: from [yolov3.pt](https://github.com/ultralytics/yolov5/releases/download/v7.0/yolov3.pt) then re-trained with ReLU activation
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BibTeX entry and citation info
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```
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year={ 2018 }
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}
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```
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from source code CITATION.cff:
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```
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cff-version: 1.2.0
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preferred-citation:
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type: software
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message: If you use YOLOv3, please cite it as below.
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authors:
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- family-names: Jocher
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given-names: Glenn
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orcid: "https://orcid.org/0000-0001-5950-6979"
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title: "YOLOv3 by Ultralytics"
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version: 7.0
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doi: 10.5281/zenodo.3908559
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date-released: 2020-5-29
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license: AGPL-3.0
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url: "https://github.com/ultralytics/yolov3"
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```
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