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ssd.pytorch

于 2020-06-25 发布 文件大小:3926KB
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  SSD: Single Shot MultiBox Object Detector, in PyTorch A PyTorch implementation of Single Shot MultiBox Detector from the 2016 paper by Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, Scott Reed, Cheng-Yang, and Alexander C. Berg. The official and original Caffe code can be found here. Table of Contents Installation Datasets Train Evaluate Performance Demos Future Work Reference

文件列表：

ssd.pytorch-master, 0 , 2018-03-30
ssd.pytorch-master\.gitattributes, 110 , 2018-03-30
ssd.pytorch-master\.gitignore, 1449 , 2018-03-30
ssd.pytorch-master\LICENSE, 1081 , 2018-03-30
ssd.pytorch-master\README.md, 7354 , 2018-03-30
ssd.pytorch-master\data, 0 , 2018-03-30
ssd.pytorch-master\data\__init__.py, 1342 , 2018-03-30
ssd.pytorch-master\data\coco.py, 7168 , 2018-03-30
ssd.pytorch-master\data\coco_labels.txt, 1083 , 2018-03-30
ssd.pytorch-master\data\config.py, 1152 , 2018-03-30
ssd.pytorch-master\data\example.jpg, 140079 , 2018-03-30
ssd.pytorch-master\data\scripts, 0 , 2018-03-30
ssd.pytorch-master\data\scripts\COCO2014.sh, 1955 , 2018-03-30
ssd.pytorch-master\data\scripts\VOC2007.sh, 971 , 2018-03-30
ssd.pytorch-master\data\scripts\VOC2012.sh, 763 , 2018-03-30
ssd.pytorch-master\data\voc0712.py, 6572 , 2018-03-30
ssd.pytorch-master\demo, 0 , 2018-03-30
ssd.pytorch-master\demo\__init__.py, 0 , 2018-03-30
ssd.pytorch-master\demo\demo.ipynb, 1317480 , 2018-03-30
ssd.pytorch-master\demo\live.py, 3072 , 2018-03-30
ssd.pytorch-master\doc, 0 , 2018-03-30
ssd.pytorch-master\doc\SSD.jpg, 48355 , 2018-03-30
ssd.pytorch-master\doc\detection_example.png, 373977 , 2018-03-30
ssd.pytorch-master\doc\detection_example2.png, 326433 , 2018-03-30
ssd.pytorch-master\doc\detection_examples.png, 2053922 , 2018-03-30
ssd.pytorch-master\doc\ssd.png, 72733 , 2018-03-30
ssd.pytorch-master\eval.py, 15867 , 2018-03-30
ssd.pytorch-master\layers, 0 , 2018-03-30
ssd.pytorch-master\layers\__init__.py, 48 , 2018-03-30
ssd.pytorch-master\layers\box_utils.py, 9435 , 2018-03-30
ssd.pytorch-master\layers\functions, 0 , 2018-03-30
ssd.pytorch-master\layers\functions\__init__.py, 97 , 2018-03-30
ssd.pytorch-master\layers\functions\detection.py, 2693 , 2018-03-30
ssd.pytorch-master\layers\functions\prior_box.py, 2001 , 2018-03-30
ssd.pytorch-master\layers\modules, 0 , 2018-03-30
ssd.pytorch-master\layers\modules\__init__.py, 105 , 2018-03-30
ssd.pytorch-master\layers\modules\l2norm.py, 758 , 2018-03-30
ssd.pytorch-master\layers\modules\multibox_loss.py, 4869 , 2018-03-30
ssd.pytorch-master\ssd.py, 7667 , 2018-03-30
ssd.pytorch-master\test.py, 3871 , 2018-03-30
ssd.pytorch-master\train.py, 9073 , 2018-03-30
ssd.pytorch-master\utils, 0 , 2018-03-30
ssd.pytorch-master\utils\__init__.py, 42 , 2018-03-30
ssd.pytorch-master\utils\augmentations.py, 13461 , 2018-03-30

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  • a
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    RMSHE and AMSHE 可直接运行的直方图增强算法，附有相关的论文(RMSHE and AMSHE can be directly run by histogram enhancement algorithm, with related papers.)
    2021-02-10 21:09:52下载
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    2021-01-26 23:18:41下载
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