登录
首页 » Python » Faster-RCNN_TF-master (2)

Faster-RCNN_TF-master (2)

于 2020-10-12 发布 文件大小:634KB
0 168
下载积分: 1 下载次数: 25

代码说明:

  机器学习 关于 faster r-cnn 进行object detection(This is an experimental Tensorflow implementation of Faster RCNN - a convnet for object detection with a region proposal network. For details about R-CNN please refer to the paper Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks by Shaoqing Ren, Kaiming He, Ross Girshick, Jian Sun.)

文件列表:

Faster-RCNN_TF-master
Faster-RCNN_TF-master\.gitignore
Faster-RCNN_TF-master\LICENSE
Faster-RCNN_TF-master\README.md
Faster-RCNN_TF-master\data
Faster-RCNN_TF-master\data\__init__.py
Faster-RCNN_TF-master\data\demo
Faster-RCNN_TF-master\data\demo\000456.jpg
Faster-RCNN_TF-master\data\demo\000542.jpg
Faster-RCNN_TF-master\data\demo\001150.jpg
Faster-RCNN_TF-master\data\demo\001763.jpg
Faster-RCNN_TF-master\data\demo\004545.jpg
Faster-RCNN_TF-master\experiments
Faster-RCNN_TF-master\experiments\README.md
Faster-RCNN_TF-master\experiments\cfgs
Faster-RCNN_TF-master\experiments\cfgs\faster_rcnn_alt_opt.yml
Faster-RCNN_TF-master\experiments\cfgs\faster_rcnn_end2end.yml
Faster-RCNN_TF-master\experiments\cfgs\kitti_rcnn.yml
Faster-RCNN_TF-master\experiments\scripts
Faster-RCNN_TF-master\experiments\scripts\faster_rcnn_end2end.sh
Faster-RCNN_TF-master\lib
Faster-RCNN_TF-master\lib\Makefile
Faster-RCNN_TF-master\lib\datasets
Faster-RCNN_TF-master\lib\datasets\__init__.py
Faster-RCNN_TF-master\lib\datasets\coco.py
Faster-RCNN_TF-master\lib\datasets\ds_utils.py
Faster-RCNN_TF-master\lib\datasets\factory.py
Faster-RCNN_TF-master\lib\datasets\imagenet3d.py
Faster-RCNN_TF-master\lib\datasets\imdb.py
Faster-RCNN_TF-master\lib\datasets\imdb2.py
Faster-RCNN_TF-master\lib\datasets\kitti.py
Faster-RCNN_TF-master\lib\datasets\kitti_tracking.py
Faster-RCNN_TF-master\lib\datasets\nissan.py
Faster-RCNN_TF-master\lib\datasets\nthu.py
Faster-RCNN_TF-master\lib\datasets\pascal3d.py
Faster-RCNN_TF-master\lib\datasets\pascal_voc.py
Faster-RCNN_TF-master\lib\datasets\pascal_voc2.py
Faster-RCNN_TF-master\lib\datasets\voc_eval.py
Faster-RCNN_TF-master\lib\fast_rcnn
Faster-RCNN_TF-master\lib\fast_rcnn\__init__.py
Faster-RCNN_TF-master\lib\fast_rcnn\bbox_transform.py
Faster-RCNN_TF-master\lib\fast_rcnn\config.py
Faster-RCNN_TF-master\lib\fast_rcnn\nms_wrapper.py
Faster-RCNN_TF-master\lib\fast_rcnn\test.py
Faster-RCNN_TF-master\lib\fast_rcnn\train.py
Faster-RCNN_TF-master\lib\gt_data_layer
Faster-RCNN_TF-master\lib\gt_data_layer\__init__.py
Faster-RCNN_TF-master\lib\gt_data_layer\layer.py
Faster-RCNN_TF-master\lib\gt_data_layer\minibatch.py
Faster-RCNN_TF-master\lib\gt_data_layer\roidb.py
Faster-RCNN_TF-master\lib\make.sh
Faster-RCNN_TF-master\lib\networks
Faster-RCNN_TF-master\lib\networks\.VGGnet.py.swo
Faster-RCNN_TF-master\lib\networks\VGGnet_test.py
Faster-RCNN_TF-master\lib\networks\VGGnet_train.py
Faster-RCNN_TF-master\lib\networks\__init__.py
Faster-RCNN_TF-master\lib\networks\factory.py
Faster-RCNN_TF-master\lib\networks\network.py
Faster-RCNN_TF-master\lib\nms
Faster-RCNN_TF-master\lib\nms\.gitignore
Faster-RCNN_TF-master\lib\nms\__init__.py
Faster-RCNN_TF-master\lib\nms\cpu_nms.pyx
Faster-RCNN_TF-master\lib\nms\gpu_nms.hpp
Faster-RCNN_TF-master\lib\nms\gpu_nms.pyx
Faster-RCNN_TF-master\lib\nms\nms_kernel.cu
Faster-RCNN_TF-master\lib\nms\py_cpu_nms.py
Faster-RCNN_TF-master\lib\roi_data_layer
Faster-RCNN_TF-master\lib\roi_data_layer\__init__.py
Faster-RCNN_TF-master\lib\roi_data_layer\layer.py
Faster-RCNN_TF-master\lib\roi_data_layer\minibatch.py
Faster-RCNN_TF-master\lib\roi_data_layer\minibatch2.py
Faster-RCNN_TF-master\lib\roi_data_layer\roidb.py
Faster-RCNN_TF-master\lib\roi_data_layer\roidb2.py
Faster-RCNN_TF-master\lib\roi_pooling_layer
Faster-RCNN_TF-master\lib\roi_pooling_layer\__init__.py
Faster-RCNN_TF-master\lib\roi_pooling_layer\roi_pooling_op.cc
Faster-RCNN_TF-master\lib\roi_pooling_layer\roi_pooling_op.py
Faster-RCNN_TF-master\lib\roi_pooling_layer\roi_pooling_op_gpu.cu.cc
Faster-RCNN_TF-master\lib\roi_pooling_layer\roi_pooling_op_gpu.h
Faster-RCNN_TF-master\lib\roi_pooling_layer\roi_pooling_op_grad.py
Faster-RCNN_TF-master\lib\roi_pooling_layer\roi_pooling_op_test.py
Faster-RCNN_TF-master\lib\roi_pooling_layer\work_sharder.h
Faster-RCNN_TF-master\lib\rpn_msr
Faster-RCNN_TF-master\lib\rpn_msr\__init__.py
Faster-RCNN_TF-master\lib\rpn_msr\anchor_target_layer.py
Faster-RCNN_TF-master\lib\rpn_msr\anchor_target_layer_tf.py
Faster-RCNN_TF-master\lib\rpn_msr\generate.py
Faster-RCNN_TF-master\lib\rpn_msr\generate_anchors.py
Faster-RCNN_TF-master\lib\rpn_msr\proposal_layer.py
Faster-RCNN_TF-master\lib\rpn_msr\proposal_layer_tf.py
Faster-RCNN_TF-master\lib\rpn_msr\proposal_target_layer_tf.py
Faster-RCNN_TF-master\lib\setup.py
Faster-RCNN_TF-master\lib\utils
Faster-RCNN_TF-master\lib\utils\.gitignore
Faster-RCNN_TF-master\lib\utils\__init__.py
Faster-RCNN_TF-master\lib\utils\bbox.pyx
Faster-RCNN_TF-master\lib\utils\blob.py
Faster-RCNN_TF-master\lib\utils\boxes_grid.py
Faster-RCNN_TF-master\lib\utils\nms.py
Faster-RCNN_TF-master\lib\utils\nms.pyx

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • cgeev0
    调用mkl的矩阵求本征值和本征函数,并得到计算时间(Call MKL for caculate the matrix s eigenvalue and eigenfunction,and get the efficiency)
    2021-04-26 14:38:45下载
    积分:1
  • format will SEG
    将格式为SEG-Y的地震数据的某道信息截出来,程序为c++程序,经过编译了-format will SEG-Y seismic data information of a certain cut, and procedures for c procedures are followed, the compiler
    2022-01-25 17:39:42下载
    积分:1
  • 决策树分类算法、C4.5算法,java语言描述
    决策树分类算法,c4.5,java语言进行描述的-Decision tree classification algorithm, c4.5, java language described
    2022-10-15 09:10:03下载
    积分:1
  • handy keyboard Superman source code
    好用的键盘超人源代码-handy keyboard Superman source code
    2023-03-19 19:25:04下载
    积分:1
  • InertialExplorer860_Manual
    说明:  诺瓦泰IE86解算软件使用说明书,测绘以及航拍行业软件InertialExplorer860的使用说明书(Novotel IE86 Solution Software Instructions, Surveying and Mapping Industry Software Inertial Explorer 860 Instructions)
    2019-03-31 21:45:43下载
    积分:1
  • 数据环境设计器示例
    数据环境设计器示例-environmental design data for example
    2022-08-12 23:59:17下载
    积分:1
  • 工厂方法-雷锋工厂
    说明:  factory design pattern implementation
    2020-06-24 19:20:02下载
    积分:1
  • improved the Visitor's most functions and error, the new labeling function,...
    改进了网友提出的绝大部分功能,和错误,新增加了标签功能,详细请看 标签文件夹,可以实现绝大多数自定义的版块 默认帐号:admin 密码:admin888 -improved the Visitor"s most functions and error, the new labeling function, see the folder labels can be achieved since the vast majority of front-page definition of the default Account : admin Password : admin
    2022-04-01 02:20:44下载
    积分:1
  • IntelVisualFortran
    一本关于IntelFortran的书,目前这方面的书比较少,希望对大家有所帮助。(A book about IntelFortran books, books in this respect is less, we want to help.)
    2010-12-29 17:03:45下载
    积分:1
  • 在打沙场用的最简单,最自动的快捷老板系统
    在打沙场用的最简单,最自动的快捷老板系统-Used in the battlefield to fight the simplest, most automated systems quickly boss
    2022-01-27 15:39:04下载
    积分:1
  • 696518资源总数
  • 106242会员总数
  • 10今日下载