登录
首页 » matlab » CNN_face_detection-master

CNN_face_detection-master

于 2016-04-27 发布 文件大小:8176KB
0 119
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

  • msk_jifen
    这是关于msk的调制解调的程序。用积分的方法进行调制 程序的最后还给出了误码率的计算。(This is on the MSK modulation and demodulation process. Integral approach to modulation the end of the process also gives the bit error rate calculations.)
    2008-05-06 09:41:45下载
    积分:1
  • DGPSO
    差分进化算法代码,请下载使用,很有学习价值,我已验证可以使用(Differential evolution algorithm code, please download, it is worth learning, I' ve verified that you can use)
    2013-11-17 20:54:26下载
    积分:1
  • ManifoldRegularization
    流型正则化解决方案,包含一些例子,应用较为广泛。(Flow pattern regularization solution, including some examples, which has been widely applied.)
    2021-04-01 22:49:07下载
    积分:1
  • MATLAB
    Metodo de biseccion, muy bueno
    2009-10-28 09:39:55下载
    积分:1
  • dechirp
    关于离散多项式变换解线性调频信号的文献和matlab程序(On the discrete polynomial transform the solution of linear FM signal matlab program literature and)
    2021-01-05 21:58:54下载
    积分:1
  • 32323
    平坦衰落信道的MATLAB仿真(有多普勒频移) (Flat fading channels MATLAB simulation (with Doppler shift))
    2020-11-27 19:59:31下载
    积分:1
  • mls
    说明:  产生伪随机噪声的MATLAB程序,在通信系统仿真可以用到(produce pseudo-random noise MATLAB procedures, the communications system simulation can be used)
    2006-02-11 16:00:41下载
    积分:1
  • msksimulink
    MSK的simulink仿真程序 用于毕业设计与论文以及做课题用(MSK Simulink simulation program for the design and graduation thesis topic, and making use)
    2007-05-29 13:37:59下载
    积分:1
  • DCT
    Discrete Cosine Transform
    2011-09-14 01:17:10下载
    积分:1
  • vida
    Realizar un script en MatLab para implementar el juego de la vida diseñ ado por el matemático británico John Horton Conway en 1970, este juego es un autómata celular que consta de una matriz donde cada casilla puede contener vida (célula blanca) o no contener vida (célula negra):
    2012-09-26 23:25:04下载
    积分:1
  • 696518资源总数
  • 104384会员总数
  • 26今日下载