登录
首页 » matlab » pedestrian-detection-master

pedestrian-detection-master

于 2020-10-08 发布 文件大小:3036KB
0 149
下载积分: 1 下载次数: 20

代码说明:

  行人检测,hog+svm,机器学习,简单二分类(hog+svm ,used for classified)

文件列表:

pedestrian-detection-master, 0 , 2016-06-15
pedestrian-detection-master\.gitignore, 19 , 2016-06-15
pedestrian-detection-master\README.md, 508 , 2016-06-15
pedestrian-detection-master\articles, 0 , 2016-06-15
pedestrian-detection-master\articles\discriminative_deep_model.pdf, 908947 , 2016-06-15
pedestrian-detection-master\articles\joint_deep.pdf, 852240 , 2016-06-15
pedestrian-detection-master\image-preproc, 0 , 2016-06-15
pedestrian-detection-master\image-preproc\cvt_rgb2yuv.py, 930 , 2016-06-15
pedestrian-detection-master\image-preproc\extract_kitti_negatives.py, 3402 , 2016-06-15
pedestrian-detection-master\image-preproc\extract_kitti_pedestrians.py, 4395 , 2016-06-15
pedestrian-detection-master\image-preproc\prepare_images.py, 5519 , 2016-06-15
pedestrian-detection-master\joint-deep, 0 , 2016-06-15
pedestrian-detection-master\joint-deep\impl, 0 , 2016-06-15
pedestrian-detection-master\joint-deep\impl\dt.lua, 1782 , 2016-06-15
pedestrian-detection-master\joint-deep\impl\init.lua, 2217 , 2016-06-15
pedestrian-detection-master\joint-deep\impl\model.lua, 8759 , 2016-06-15
pedestrian-detection-master\joint-deep\impl\nn-init, 0 , 2016-06-15
pedestrian-detection-master\joint-deep\impl\nn-init\layer2_bias.txt, 673 , 2016-06-15
pedestrian-detection-master\joint-deep\impl\nn-init\layer2_kernels.txt, 165565 , 2016-06-15
pedestrian-detection-master\joint-deep\impl\nn-init\layer4_bias.txt, 224 , 2016-06-15
pedestrian-detection-master\joint-deep\impl\nn-init\layer4_kernels.txt, 424937 , 2016-06-15
pedestrian-detection-master\joint-deep\impl\test-out, 0 , 2016-06-15
pedestrian-detection-master\joint-deep\impl\test-out\CaltechTest, 0 , 2016-06-15
pedestrian-detection-master\joint-deep\impl\test-out\CaltechTest\caltech_train.txt, 385167 , 2016-06-15
pedestrian-detection-master\joint-deep\impl\test-out\CaltechTest\inria_train.txt, 389974 , 2016-06-15
pedestrian-detection-master\joint-deep\impl\test-out\CaltechTest\kitti.txt, 385962 , 2016-06-15
pedestrian-detection-master\joint-deep\impl\test-out\ETH, 0 , 2016-06-15
pedestrian-detection-master\joint-deep\impl\test-out\ETH\caltech_train.txt, 547017 , 2016-06-15
pedestrian-detection-master\joint-deep\impl\test-out\ETH\inria_train.txt, 554551 , 2016-06-15
pedestrian-detection-master\joint-deep\impl\test-out\ETH\kitti.txt, 544985 , 2016-06-15
pedestrian-detection-master\joint-deep\impl\test_example.lua, 3201 , 2016-06-15
pedestrian-detection-master\joint-deep\impl\torch_extra.lua, 8441 , 2016-06-15
pedestrian-detection-master\joint-deep\impl\train_example.lua, 4710 , 2016-06-15
pedestrian-detection-master\joint-deep\impl\utils.lua, 478 , 2016-06-15
pedestrian-detection-master\joint-deep\prepare-data, 0 , 2016-06-15
pedestrian-detection-master\joint-deep\prepare-data\extract_images_inria.m, 1336 , 2016-06-15
pedestrian-detection-master\joint-deep\prepare-data\extract_train_data.m, 871 , 2016-06-15
pedestrian-detection-master\joint-deep\prepare-data\get_images.m, 701 , 2016-06-15
pedestrian-detection-master\joint-deep\prepare-data\join_datasets.m, 1676 , 2016-06-15
pedestrian-detection-master\joint-deep\prepare-data\prepare_images.py, 2679 , 2016-06-15
pedestrian-detection-master\joint-deep\prepare-data\save_samples_to_mat.m, 1239 , 2016-06-15
pedestrian-detection-master\joint-deep\prepare-data\split_train_data.m, 630 , 2016-06-15
pedestrian-detection-master\joint-deep\prepare-data\write_data_to_file.m, 4858 , 2016-06-15
pedestrian-detection-master\joint-deep\res, 0 , 2016-06-15
pedestrian-detection-master\joint-deep\res\All_datasets_ROCs_CaltechTest.png, 10533 , 2016-06-15
pedestrian-detection-master\joint-deep\res\All_datasets_ROCs_ETHTest.png, 9968 , 2016-06-15
pedestrian-detection-master\joint-deep\res\CaltechTest_ROCs_02_04_16_new1.png, 7741 , 2016-06-15
pedestrian-detection-master\joint-deep\res\CaltechTest_ROCs_05_04_16.png, 7785 , 2016-06-15
pedestrian-detection-master\joint-deep\res\CaltechTest_ROCs_09_04_16.png, 8878 , 2016-06-15
pedestrian-detection-master\joint-deep\res\ETH_ROCs_02_04_16_new1.png, 7503 , 2016-06-15
pedestrian-detection-master\joint-deep\res\ETH_ROCs_05_04_16.png, 7488 , 2016-06-15
pedestrian-detection-master\joint-deep\res\ETH_ROCs_09_04_16.png, 8416 , 2016-06-15
pedestrian-detection-master\joint-deep\test, 0 , 2016-06-15
pedestrian-detection-master\joint-deep\test\dbEval_new_ETH_test.m, 26666 , 2016-06-15
pedestrian-detection-master\joint-deep\test\dbEval_new_all_test.m, 26585 , 2016-06-15
pedestrian-detection-master\joint-deep\test\test.m, 1223 , 2016-06-15
pedestrian-detection-master\joint-deep\test\testCNN_CaltechTest.m, 2224 , 2016-06-15
pedestrian-detection-master\joint-deep\test\testCNN_ETH.m, 3398 , 2016-06-15
pedestrian-detection-master\unsup-conv-net, 0 , 2016-06-15
pedestrian-detection-master\unsup-conv-net\model.lua, 1269 , 2016-06-15

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

  • DPCM_Testing
    DCPM的测试程序,matlab。无需带入参数。(DCPM test procedures, matlab. Into the parameters need not.)
    2008-01-11 15:36:57下载
    积分:1
  • 802.16
    the whole physical layer of wimax 802.16
    2009-05-05 21:45:26下载
    积分:1
  • Alamouti
    alamouti的matlab实现方法,功能强大,经过注释和删改(matlab realize the alamouti methods, powerful, after the Notes and Modifications)
    2008-05-17 23:16:06下载
    积分:1
  • Prim
    matlab 经典程序 classic最佳生成树(matlab classic classic best spanning tree procedure)
    2008-08-02 12:05:09下载
    积分:1
  • PCA-Face-Recognition-Matlab
    基于PCA算法的matlab人脸识别代码及附注(Face Recognition.)
    2012-04-12 15:01:44下载
    积分:1
  • tri_area.m
    compute the area of the triangular mesh
    2013-04-11 22:11:33下载
    积分:1
  • 基于粒子群算法的多目标搜索算法
    说明:  基于粒子群算法的多目标搜索算法,通过非劣解的方式记录最优解,求解帕累托最优解(The multi-objective search algorithm based on particle swarm optimization records the optimal solution and solves Pareto optimal solution by means of non inferior solution)
    2019-10-24 10:56:13下载
    积分:1
  • projection_matrix_estimation
    Two functions for projection matrix estimation (the two methods can be found in Trucco).
    2010-11-23 19:41:11下载
    积分:1
  • 0081GUI
    这是一个基于GUI系统。 GUI是在命令行调用通过键入“ui_start”。 GUI是自我解释性。 工具提示是由于在蓝颜色。将光标定位需要这些详细的说明。主要文件 “runsim.m”。在这些模拟的单变量的选择是没有明确给出。这是因为单输入单输出的结果为特定 调制类型显示在每一个用于比较的阴谋。(This is a GUI based system. The GUI is invoked from the command line by typing "ui_start". The GUI is self explanatory. Tool tips are given in blue color. The cursor needs to be positioned on these for detailed explanation. The main file is "runsim.m". In these simulations the SISO option is not explicitly given. This is because the SISO result for a particular type of modulation is shown in every plot for purposes of comparison. This software has been tested on MATLAB version 6.0 and above with signal processing and communication toolbox options.)
    2010-05-13 02:08:34下载
    积分:1
  • elman(ex)
    说明:  文中给出Elman matlab中的代码,详细介绍了从输入层,输出层,反馈层的设计,经试验验证,能收敛到正确的结果(The paper gives Elman matlab code, details from the input layer, output layer, the feedback layer design, the experimental verification, can converge to correct results)
    2011-04-01 09:24:07下载
    积分:1
  • 696518资源总数
  • 106222会员总数
  • 14今日下载