登录
首页 » matlab » pedestrian-detection-master

pedestrian-detection-master

于 2020-10-08 发布 文件大小:3036KB
0 131
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

  • Numerical.Methods.in.Engineering.with.MATLAB
    this is a good book about the numerical methods in matlab . from this book you can learn a lot
    2010-06-22 18:11:52下载
    积分:1
  • Kalman
    Kalman滤波的matlab例程,内含kalman滤波方法的介绍.(Kalman filtering matlab routines, including the introduction kalman filtering method.)
    2009-03-21 10:12:58下载
    积分:1
  • MLequalization
    MIMO FILE IF YOU WANT TO SLOVE SOME DISTRIBUTION YOU CAN
    2012-04-30 15:56:46下载
    积分:1
  • 2
    说明:  To support wireless communication : MIMO
    2013-12-24 21:50:25下载
    积分:1
  • colormap_adjust
    color map adjust code matlab
    2012-11-10 00:17:12下载
    积分:1
  • CHAPTER1
    pid自适应控制器学习和程序大家学习,很好用的(迭代)
    2010-09-17 10:52:16下载
    积分:1
  • GTF_Features
    auditry feture xtrction
    2013-12-02 11:30:53下载
    积分:1
  • guidance-and-control-simulation.tar
    关于飞行器制导控制方面比较全面的仿真源代码,其中包括飞行器三自由度和六自由度仿真,单次仿真和蒙特卡洛仿真,EKF算法和UKF算法仿真等等。(On aircraft guidance control more comprehensive simulation source code, including aircraft and six degrees of freedom simulation of three degrees of freedom, a single simulation and Monte Carlo simulation, EKF and UKF algorithm simulation algorithms and so on.)
    2013-12-14 14:32:02下载
    积分:1
  • New-Folder
    dwt based watermarking and enhanced results .............
    2012-02-06 14:43:04下载
    积分:1
  • TurbulentWindGenerator
    用于产生风速,基于kaimal谱分析建立。(This submission allow the user for generation of three-dimensional turbulent wind fields, by employing a Kaimal spectrum and IEC-based coherence function. Furthermore, it is possible to export the generated wind fields as FAST-compatible .bts, in order to simulate wind turbine dynamic behavior in presence of stochastic wind. )
    2017-04-22 02:45:12下载
    积分:1
  • 696518资源总数
  • 105540会员总数
  • 37今日下载