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
0 101
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

  • 级配颗粒
    说明:  在PFC中根据颗粒级配生成颗粒,进行细观模拟(Generate particles according to particle grading)
    2020-11-15 15:49:41下载
    积分:1
  • BeamformingQAM
    说明:  数字波束形成,针对QAM瑞利通道加白高斯噪声的仿真(Digital Beamforming for QAM Rayleigh Channel with White Gauss Noise)
    2020-06-18 10:40:02下载
    积分:1
  • XY_LISANCPP
    说明:  离散数学(Discrete mathematics)是研究离散量的结构及其相互关系的数学学科,是现代数学的一个重要分支。离散的含义是指不同的连接在一起的元素,主要是研究基于离散量的结构和相互间的关系,其对象一般是有限个或可数个元素。离散数学在各学科领域,特别在计算机科学与技术领域有着广泛的应用,同时离散数学也是计算机专业的专业课程(Discrete mathematics is a mathematical discipline which studies the structure of discrete variables and their relationship. It is an important branch of modern mathematics. The meaning of discrete refers to different elements connected together. It mainly studies the structure and relationship between discrete variables, and its objects are generally limited or countable elements. Discrete mathematics has a wide range of applications in various disciplines, especially in the field of computer science and technology.)
    2020-06-30 10:21:11下载
    积分:1
  • 机器学习二分类
    说明:  对蘑菇是否有毒进行二分类,采用朴素贝叶斯算法(Whether mushrooms are poisonous or not is classified by naive Bayes algorithm)
    2020-07-09 15:11:40下载
    积分:1
  • excel对表软件
    采用VBA实现对表。程序中采用了类似VB的界面,只要打开两张EXCEL表格,直接可以实现两张表的对比,更新操作。
    2023-02-25 04:10:03下载
    积分:1
  • eg1_IndependentProject_GPIO
    DSP28335芯片通用输入输出模块案例程序(some case codes about GPIO of DSP28335)
    2020-06-22 20:00:01下载
    积分:1
  • 温度传感器ds18b20
    温度传感器ds18b20-Temperature sensor DS18B20
    2022-08-25 06:10:15下载
    积分:1
  • 未命名文件夹
    说明:  这个代码实现了ZYNQ的PL端的扩展串口功能,且可用于LINUX系统中,485/232都可使用,后续会继续更新(This code implements the extended serial port function of the PL end of ZYNQ, and can be used in LINUX system, 485/232 can be used, and will continue to be updated later.)
    2020-06-24 02:00:02下载
    积分:1
  • 通讯录.基于C++编写
    通讯录.基于C++编写- Address book Compiles based on C
    2022-01-22 03:37:37下载
    积分:1
  • 工业控制和数据采集,这是一个脉冲阀的控制原代码,自动控制实验过程....
    工业控制和数据采集,这是一个脉冲阀的控制原代码,自动控制实验过程.-industrial control and data acquisition, which is a pulse valve control source, the control experiments.
    2023-09-07 12:50:03下载
    积分:1
  • 696518资源总数
  • 104225会员总数
  • 32今日下载