登录
首页 » matlab » CNN_face_detection-master

CNN_face_detection-master

于 2016-04-27 发布 文件大小:8176KB
0 252
下载积分: 1 下载次数: 111

代码说明:

  CVPR2015级联CNN进行人脸检测的MATLAB实现代码,按照流程实现,效果绝佳(CVPR2015 cascade CNN for face detection MATLAB implementation code, according to the sequence, and excellent results)

文件列表:

CNN_face_detection-master
.........................\face_calibration
.........................\................\calibration_AFLW.py,3626,2015-12-22
.........................\................\calibration_CACD.py,2131,2015-12-22
.........................\................\shuffle_write_calibration.py,953,2015-12-22
.........................\................\write_train_val_calibration.py,2505,2015-12-22
.........................\face_detection
.........................\..............\create_mean_numpy.py,508,2015-12-22
.........................\..............\detections
.........................\..............\..........\ContROC.txt,26681,2015-12-22
.........................\..............\..........\DiscROC-01.txt,42393,2015-12-22
.........................\..............\..........\DiscROC-02.txt,44091,2015-12-22
.........................\..............\..........\DiscROC-03.txt,43093,2015-12-22
.........................\..............\..........\DiscROC-04.txt,44472,2015-12-22
.........................\..............\..........\DiscROC-05.txt,44802,2015-12-22
.........................\..............\..........\DiscROC-06.txt,45816,2015-12-22
.........................\..............\..........\DiscROC-07.txt,39458,2015-12-22
.........................\..............\..........\DiscROC-08.txt,42233,2015-12-22
.........................\..............\..........\DiscROC-09.txt,40040,2015-12-22
.........................\..............\..........\DiscROC-10.txt,44786,2015-12-22
.........................\..............\..........\fold-01-out.txt,48332,2015-12-22
.........................\..............\..........\fold-02-out.txt,49260,2015-12-22
.........................\..............\..........\fold-03-out.txt,47400,2015-12-22
.........................\..............\..........\fold-04-out.txt,49861,2015-12-22
.........................\..............\..........\fold-05-out.txt,49954,2015-12-22
.........................\..............\..........\fold-06-out.txt,40960,2015-12-22
.........................\..............\..........\fold-07-out.txt,50576,2015-12-22
.........................\..............\..........\fold-08-out.txt,53602,2015-12-22
.........................\..............\..........\fold-09-out.txt,50384,2015-12-22
.........................\..............\..........\fold-10-out.txt,56699,2015-12-22
.........................\..............\DiscROC.txt,431184,2015-12-22
.........................\..............\evaluate_fddb.py,1025,2015-12-22
.........................\..............\face_12c_detect.py,27726,2015-12-22
.........................\..............\face_48_AFW.py,27228,2015-12-22
.........................\..............\face_48_fddb.py,28745,2015-12-22
.........................\..............\face_48_fddb_fullconv.py,28464,2015-12-22
.........................\..............\face_cascade_AFW.py,27228,2015-12-22
.........................\..............\face_cascade_fddb.py,28745,2015-12-22
.........................\..............\face_cascade_fullconv_fddb.py,3549,2015-12-22
.........................\..............\face_cascade_fullconv_fddb_single_crop.py,2989,2015-12-22
.........................\..............\face_cascade_fullconv_quantize_fddb.py,3734,2015-12-22
.........................\..............\face_cascade_fullconv_signal_quantize_fddb.py,22189,2015-12-22
.........................\..............\face_cascade_fullconv_single_crop_single_image.py,1468,2015-12-22
.........................\..............\face_detection_example.py,794,2015-12-22
.........................\..............\face_detection_functions.py,40359,2015-12-22
.........................\..............\face_detection_functions.pyc,24466,2015-12-22
.........................\..............\face_ViolaJones.py,2886,2015-12-22
.........................\..............\FDDB-fold
.........................\..............\.........\FDDB-fold-01.txt,6747,2015-12-22
.........................\..............\.........\FDDB-fold-02.txt,6646,2015-12-22
.........................\..............\.........\FDDB-fold-03.txt,6392,2015-12-22
.........................\..............\.........\FDDB-fold-04.txt,7018,2015-12-22
.........................\..............\.........\FDDB-fold-05.txt,6937,2015-12-22
.........................\..............\.........\FDDB-fold-06.txt,7024,2015-12-22
.........................\..............\.........\FDDB-fold-07.txt,6489,2015-12-22
.........................\..............\.........\FDDB-fold-08.txt,6458,2015-12-22
.........................\..............\.........\FDDB-fold-09.txt,6014,2015-12-22
.........................\..............\.........\FDDB-fold-10.txt,6528,2015-12-22
.........................\..............\fold-01-out.txt,17176,2015-12-22
.........................\..............\fold-02-out.txt,17146,2015-12-22
.........................\..............\fold-03-out.txt,16870,2015-12-22
.........................\..............\fold-04-out.txt,18345,2015-12-22
.........................\..............\fold-05-out.txt,17735,2015-12-22
.........................\..............\fold-06-out.txt,17959,2015-12-22
.........................\..............\fold-07-out.txt,16995,2015-12-22
.........................\..............\fold-08-out.txt,16964,2015-12-22
.........................\..............\fold-09-out.txt,16284,2015-12-22
.........................\..............\fold-10-out.txt,17664,2015-12-22
.........................\..............\load_model_functions.py,8499,2015-12-22
.........................\..............\load_model_functions.pyc,4483,2015-12-22
.........................\..............\many2oneText_fold.py,595,2015-12-22
.........................\..............\many2oneText_out.py,589,2015-12-22
.........................\..............\old_detection_methods_backup.py,16932,2015-12-22
.........................\..............\sortROC.py,600,2015-12-22
.........................\..............\test.py,16248,2015-12-22
.........................\..............\test_mean.py,1264,2015-12-22
.........................\face_net_surgery
.........................\................\face12c_full_conv_params.txt,119429,2015-12-22
.........................\................\face12c_full_conv_quantize_3.py,3983,2015-12-22
.........................\................\face12c_full_conv_quantize_3.txt,119429,2015-12-22
.........................\................\face12c_full_conv_quantize_3_params.txt,38333,2015-12-22
.........................\................\face12c_full_conv_quantize_3_to_9.py,3573,2015-12-22
.........................\................\face12c_full_conv_test.py,4698,2015-12-22
.........................\................\face_12_cal_quantize_3_to_9.py,4423,2015-12-22
.........................\................\face_12_full_conv_params.txt,119429,2015-12-22
.........................\................\face_12_full_conv_test.py,4649,2015-12-22
.........................\................\face_12_quantize_3.py,3983,2015-12-22
.........................\................\face_12_quantize_8.py,1467,2015-12-22
.........................\................\face_12_surgery.py,2393,2015-12-22
.........................\................\face_24c_quantize_3_to_9.py,3942,2015-12-22
.........................\................\face_24_cal_quantize_3_to_9.py,3947,2015-12-22
.........................\................\face_48c_quantize_3_to_9.py,4028,2015-12-22
.........................\................\face_48_cal_quantize_3_to_9.py,4037,2015-12-22
.........................\................\face_48_full_conv_test.py,1704,2015-12-22
.........................\................\face_48_surgery.py,2030,2015-12-22
.........................\................\face_range.txt,3093,2015-12-22
.........................\................\face_range_quantize_objective.txt,4465,2015-12-22
.........................\................\face_weight_bias_range.py,6716,2015-12-22
.........................\................\htm" target=_blank>file_write,1469,2015-12-22
.........................\................\full_conv_blobs_ranges.txt,3723,2015-12-22

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

  • SVMmatlab
    matlab环境下的支持向量机源代码,支持支持向量机在小样本分析方面有很好的优势。(This is the source code of SVM in Matlab environment which is very ussful for analysis a small sample to support for classing.)
    2010-07-26 15:00:27下载
    积分:1
  • gauss_elimination
    用Matlab实现Gauss法求线性方程组的解(Gauss Method Using Matlab to achieve the solution of linear equations)
    2010-07-26 16:37:28下载
    积分:1
  • accurately_pitch_estimation
    with this mscripts we are enable to perform accurately pitch detection.first with short term zerocrossing and short term energy estimation analyses we find voiced regions and then with hps algorithm, find pitch values of utterance.
    2009-07-07 04:23:39下载
    积分:1
  • MIMO_OFDM
    说明:  MIMO-OFDM技术,提供的关于MIMO_OFDM技术仿真(MIMO-OFDM technology to provide technical simulation on MIMO_OFDM)
    2008-11-12 10:09:42下载
    积分:1
  • DantzigSelector
    说明:  一篇全面介绍Dantzig selector的英文文章,37页,用于压缩感知的重构(The Dantzig selector: statistical estimation when p is much larger than n)
    2011-04-07 10:32:14下载
    积分:1
  • calyy000
    这个程序是MATLAB里面完成了计算节点导纳矩阵的功能,对初学者很有用。(This procedure is done inside MATLAB function calculates the node admittance matrix, useful for beginners.)
    2015-09-18 20:54:34下载
    积分:1
  • Sim_con
    干涉数据仿真,针对不同类型干涉光谱仪,包括时间 、空间 (SIMULATION INTERGRAM)
    2014-08-15 11:20:11下载
    积分:1
  • VBLASTdetectors
    一种常用空分复用的MIMO系统,v-blast系统的各种检测算法:ML,MMSE,ZF,以及采用迫零的连续干扰消除检测算法(A common space division multiplexing in MIMO systems, v-blast system, the various detection algorithms: ML, MMSE, ZF, and the introduction of zero-forcing successive interference cancellation detection algorithm)
    2021-04-26 21:08:45下载
    积分:1
  • slope_adapt_filter
    实现对InSAR复相位信号进行基于局部频率估计的“斜坡自适应(slope-adapt)滤波” 此滤波方法特别适用于InSAR相位图滤波,能在最大限度保持有用信息的条件下滤除各种噪声。(A matlab function of Slope-adapt-filter for InSAR phase filtering. It is based on local frequency estimation.)
    2009-03-21 17:26:21下载
    积分:1
  • linear
    超声波扫查中,用线性阵元实现实现线性扫查,扫查体为自定义囊,对接收的回波数据进行hilber变换,获得其包络信息,在对包络信息进行对数压缩,用8为2进制数显示()
    2008-05-06 21:00:09下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载