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
0 228
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

  • 多选城市选择代码
    说明:  jQuery下拉单选多选城市选择代码是一框美化和下拉城市选择插件。(The jQuery drop-down radio multiple-choice city selection code is a box beautification and drop-down city selection plug-in.)
    2019-03-28 09:47:21下载
    积分:1
  • 经典游戏炸弹人的手机版本,又J2ME平台开发.可下载到手机中.
    经典游戏炸弹人的手机版本,又J2ME平台开发.可下载到手机中.-bomb classic game of mobile phones, J2ME platform. To download to your phone.
    2022-03-29 12:26:26下载
    积分:1
  • Chess
    简单实现人机对战,使用人工智能简单算法,通过人和机器的博弈,使机器通过迭代自己判断所走的步骤。(This code simply realizes man-machine combat in chess.)
    2019-01-31 11:19:56下载
    积分:1
  • 图像边缘增强
    具有螺旋相位板的4f系统用于图像边缘增强的仿真(Simulation of image edge enhancement using 4f system with spiral phase plate)
    2019-02-19 10:38:50下载
    积分:1
  • 异型Stewart机构运动学
    一种特殊驱动方式的类Stewart机构的运动学正向和逆向方程(Kinematics of Special Stewart Mechanism)
    2020-06-22 22:40:02下载
    积分:1
  • Obtain_filenames_in_dir
    使用Perl得到任意一个目录下的所有子项名称;(To get all the sub-items names under a given dir.)
    2013-10-14 10:20:40下载
    积分:1
  • AI_Based_Hybrid_PV_DFIG_Grid
    说明:  (ZSI)Z SOURCE INVERTER SIMULATION MODEL
    2020-04-28 05:17:50下载
    积分:1
  • PFC
    预测函数控制S函数程序,能够直接用于SIMULINK中,进行预测控制研究(Predictive Function Control S function process for SIMULINK in directly for Predictive Control)
    2021-04-11 13:28:57下载
    积分:1
  • VCPPRpgGameStudy
    使用VC++编写的,RPG游戏学习例子,简单演示了,地图上2个NPC(或主角人物)相互跑动的过程(Using VC++ written in RPG games learning example, a simple demo on the map two NPC (or protagonist) running each other)
    2012-04-06 10:54:57下载
    积分:1
  • 学习LabVIEW时做的书上的例程,课供初学者参考
    学习LabVIEW时做的书上的例程,课供初学者参考-When learning LabVIEW book on the routines, classes for beginners reference
    2022-01-25 23:07:34下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载