文件名称:TFFRCNN-master

  • 所属分类:
  • 人工智能/神经网络/遗传算法
  • 资源属性:
  • 上传时间:
  • 2018-05-01
  • 文件大小:
  • 2.83mb
  • 下载次数:
  • 0次
  • 提 供 者:
  • 9738****
  • 相关连接:
  • 下载说明:
  • 别用迅雷下载,失败请重下,重下不扣分!

介绍说明--下载内容均来自于网络,请自行研究使用

识别给出的图像并用softmax给出可能的概率(Identify the given image and give possible probability with softmax.)
相关搜索: 图像识别

(系统自动生成,下载前可以参看下载内容)

下载文件列表

文件名大小更新时间
TFFRCNN-master 0 2017-03-07
TFFRCNN-master\.gitignore 166 2017-03-07
TFFRCNN-master\LICENSE 1070 2017-03-07
TFFRCNN-master\README.md 6058 2017-03-07
TFFRCNN-master\data 0 2017-03-07
TFFRCNN-master\data\demo 0 2017-03-07
TFFRCNN-master\data\demo\000022.png 857360 2017-03-07
TFFRCNN-master\data\demo\000188.png 886495 2017-03-07
TFFRCNN-master\data\demo\000456.jpg 105302 2017-03-07
TFFRCNN-master\data\demo\000542.jpg 115536 2017-03-07
TFFRCNN-master\data\demo\001150.jpg 88635 2017-03-07
TFFRCNN-master\data\demo\001763.jpg 73424 2017-03-07
TFFRCNN-master\data\demo\004545.jpg 123072 2017-03-07
TFFRCNN-master\experiments 0 2017-03-07
TFFRCNN-master\experiments\cfgs 0 2017-03-07
TFFRCNN-master\experiments\cfgs\faster_rcnn_end2end.yml 693 2017-03-07
TFFRCNN-master\experiments\cfgs\faster_rcnn_end2end_pva.yml 767 2017-03-07
TFFRCNN-master\experiments\cfgs\faster_rcnn_end2end_resnet.yml 754 2017-03-07
TFFRCNN-master\experiments\cfgs\faster_rcnn_kitti.yml 645 2017-03-07
TFFRCNN-master\experiments\eval 0 2017-03-07
TFFRCNN-master\experiments\eval\voc2007_test.sh 946 2017-03-07
TFFRCNN-master\experiments\profiling 0 2017-03-07
TFFRCNN-master\experiments\profiling\gprof2dot.py 105119 2017-03-07
TFFRCNN-master\experiments\profiling\profile.png 178663 2017-03-07
TFFRCNN-master\experiments\profiling\run_profiling.sh 619 2017-03-07
TFFRCNN-master\experiments\scripts 0 2017-03-07
TFFRCNN-master\experiments\scripts\faster_rcnn_end2end.sh 1851 2017-03-07
TFFRCNN-master\experiments\scripts\faster_rcnn_kitti.sh 236 2017-03-07
TFFRCNN-master\experiments\scripts\faster_rcnn_voc.sh 486 2017-03-07
TFFRCNN-master\experiments\scripts\faster_rcnn_voc_pva.sh 274 2017-03-07
TFFRCNN-master\experiments\scripts\faster_rcnn_voc_resnet.sh 254 2017-03-07
TFFRCNN-master\experiments\scripts\kitti2pascalvoc.py 11561 2017-03-07
TFFRCNN-master\faster_rcnn 0 2017-03-07
TFFRCNN-master\faster_rcnn\__init__.py 35 2017-03-07
TFFRCNN-master\faster_rcnn\demo.py 4544 2017-03-07
TFFRCNN-master\faster_rcnn\test_net.py 3106 2017-03-07
TFFRCNN-master\faster_rcnn\train_net.py 3858 2017-03-07
TFFRCNN-master\lib 0 2017-03-07
TFFRCNN-master\lib\Makefile 68 2017-03-07
TFFRCNN-master\lib\__init__.py 16 2017-03-07
TFFRCNN-master\lib\datasets 0 2017-03-07
TFFRCNN-master\lib\datasets\__init__.py 1409 2017-03-07
TFFRCNN-master\lib\datasets\coco.py 16805 2017-03-07
TFFRCNN-master\lib\datasets\ds_utils.py 1336 2017-03-07
TFFRCNN-master\lib\datasets\factory.py 2425 2017-03-07
TFFRCNN-master\lib\datasets\imagenet3d.py 22501 2017-03-07
TFFRCNN-master\lib\datasets\imdb.py 10560 2017-03-07
TFFRCNN-master\lib\datasets\imdb2.py 16551 2017-03-07
TFFRCNN-master\lib\datasets\kitti.py 31342 2017-03-07
TFFRCNN-master\lib\datasets\kitti_tracking.py 22002 2017-03-07
TFFRCNN-master\lib\datasets\kittivoc.py 15741 2017-03-07
TFFRCNN-master\lib\datasets\nissan.py 10123 2017-03-07
TFFRCNN-master\lib\datasets\nthu.py 10064 2017-03-07
TFFRCNN-master\lib\datasets\pascal3d.py 30657 2017-03-07
TFFRCNN-master\lib\datasets\pascal_voc.py 14686 2017-03-07
TFFRCNN-master\lib\datasets\pascal_voc2.py 29418 2017-03-07
TFFRCNN-master\lib\datasets\voc_eval.py 7244 2017-03-07
TFFRCNN-master\lib\fast_rcnn 0 2017-03-07
TFFRCNN-master\lib\fast_rcnn\__init__.py 364 2017-03-07
TFFRCNN-master\lib\fast_rcnn\bbox_transform.py 3098 2017-03-07
TFFRCNN-master\lib\fast_rcnn\config.py 11116 2017-03-07
TFFRCNN-master\lib\fast_rcnn\config2.py 11520 2017-03-07
TFFRCNN-master\lib\fast_rcnn\nms_wrapper.py 1911 2017-03-07
TFFRCNN-master\lib\fast_rcnn\test.py 12332 2017-03-07
TFFRCNN-master\lib\fast_rcnn\train.py 16735 2017-03-07
TFFRCNN-master\lib\gt_data_layer 0 2017-03-07
TFFRCNN-master\lib\gt_data_layer\__init__.py 292 2017-03-07
TFFRCNN-master\lib\gt_data_layer\layer.py 3860 2017-03-07
TFFRCNN-master\lib\gt_data_layer\minibatch.py 4873 2017-03-07
TFFRCNN-master\lib\gt_data_layer\roidb.py 6403 2017-03-07
TFFRCNN-master\lib\make.sh 1338 2017-03-07
TFFRCNN-master\lib\networks 0 2017-03-07
TFFRCNN-master\lib\networks\.VGGnet.py.swo 12288 2017-03-07
TFFRCNN-master\lib\networks\PVAnet_test.py 6077 2017-03-07
TFFRCNN-master\lib\networks\PVAnet_train.py 7703 2017-03-07
TFFRCNN-master\lib\networks\Resnet101_test.py 25184 2017-03-07
TFFRCNN-master\lib\networks\Resnet101_train.py 25951 2017-03-07
TFFRCNN-master\lib\networks\Resnet50_test.py 13667 2017-03-07
TFFRCNN-master\lib\networks\Resnet50_train.py 14534 2017-03-07
TFFRCNN-master\lib\networks\VGGnet_test.py 2855 2017-03-07
TFFRCNN-master\lib\networks\VGGnet_testold.py 2897 2017-03-07
TFFRCNN-master\lib\networks\VGGnet_train.py 4499 2017-03-07
TFFRCNN-master\lib\networks\__init__.py 519 2017-03-07
TFFRCNN-master\lib\networks\caffenet.py 1788 2017-03-07
TFFRCNN-master\lib\networks\factory.py 2064 2017-03-07
TFFRCNN-master\lib\networks\network.py 33397 2017-03-07
TFFRCNN-master\lib\nms 0 2017-03-07
TFFRCNN-master\lib\nms\.gitignore 15 2017-03-07
TFFRCNN-master\lib\nms\__init__.py 0 2017-03-07
TFFRCNN-master\lib\nms\cpu_nms.pyx 2241 2017-03-07
TFFRCNN-master\lib\nms\gpu_nms.hpp 146 2017-03-07
TFFRCNN-master\lib\nms\gpu_nms.pyx 1110 2017-03-07
TFFRCNN-master\lib\nms\nms_kernel.cu 5064 2017-03-07
TFFRCNN-master\lib\nms\py_cpu_nms.py 1051 2017-03-07
TFFRCNN-master\lib\psroi_pooling_layer 0 2017-03-07
TFFRCNN-master\lib\psroi_pooling_layer\__init__.py 242 2017-03-07
TFFRCNN-master\lib\psroi_pooling_layer\cuda_kernel_helper.h 11933 2017-03-07
TFFRCNN-master\lib\psroi_pooling_layer\psroi_pooling_op.cc 8754 2017-03-07
TFFRCNN-master\lib\psroi_pooling_layer\psroi_pooling_op.py 264 2017-03-07
TFFRCNN-master\lib\psroi_pooling_layer\psroi_pooling_op_gpu.cu.cc 8272 2017-03-07

相关说明

  • 本站资源为会员上传分享交流与学习,如有侵犯您的权益,请联系我们删除.
  • 本站是交换下载平台,提供交流渠道,下载内容来自于网络,除下载问题外,其它问题请自行百度更多...
  • 请直接用浏览器下载本站内容,不要使用迅雷之类的下载软件,用WinRAR最新版进行解压.
  • 如果您发现内容无法下载,请稍后再次尝试;或者到消费记录里找到下载记录反馈给我们.
  • 下载后发现下载的内容跟说明不相乎,请到消费记录里找到下载记录反馈给我们,经确认后退回积分.
  • 如下载前有疑问,可以通过点击"提供者"的名字,查看对方的联系方式,联系对方咨询.

相关评论

暂无评论内容.

发表评论

*主  题:
*内  容:
*验 证 码:

源码中国 www.ymcn.org