├── README.md ├── app ├── __init__.py ├── __pycache__ │ ├── __init__.cpython-36.pyc │ ├── __init__.cpython-37.pyc │ ├── admin.cpython-36.pyc │ ├── admin.cpython-37.pyc │ ├── apps.cpython-36.pyc │ ├── apps.cpython-37.pyc │ ├── forms.cpython-36.pyc │ ├── forms.cpython-37.pyc │ ├── models.cpython-36.pyc │ ├── models.cpython-37.pyc │ ├── stream.cpython-36.pyc │ ├── urls.cpython-36.pyc │ ├── urls.cpython-37.pyc │ ├── video_stream.cpython-36.pyc │ ├── views.cpython-36.pyc │ └── views.cpython-37.pyc ├── admin.py ├── apps.py ├── facerec │ ├── __pycache__ │ │ ├── click_photos.cpython-36.pyc │ │ ├── click_photos.cpython-37.pyc │ │ ├── faster_video_stream.cpython-36.pyc │ │ ├── faster_video_stream.cpython-37.pyc │ │ ├── identify_faces.cpython-36.pyc │ │ ├── train_faces.cpython-36.pyc │ │ └── train_faces.cpython-37.pyc │ ├── click_photos.py │ ├── dataset │ │ ├── Abhishek M_851 │ │ │ ├── opencv_frame_0.png │ │ │ ├── opencv_frame_1.png │ │ │ ├── opencv_frame_10.png │ │ │ ├── opencv_frame_2.png │ │ │ ├── opencv_frame_3.png │ │ │ ├── opencv_frame_4.png │ │ │ ├── opencv_frame_5.png │ │ │ ├── opencv_frame_6.png │ │ │ ├── opencv_frame_7.png │ │ │ ├── opencv_frame_8.png │ │ │ └── opencv_frame_9.png │ │ ├── Akshith Rai N_709 │ │ │ ├── opencv_frame_0.png │ │ │ ├── opencv_frame_1.png │ │ │ ├── opencv_frame_2.png │ │ │ ├── opencv_frame_3.png │ │ │ ├── opencv_frame_4.png │ │ │ ├── opencv_frame_5.png │ │ │ ├── opencv_frame_6.png │ │ │ ├── opencv_frame_7.png │ │ │ ├── opencv_frame_8.png │ │ │ └── opencv_frame_9.png │ │ ├── Antony Peter_1042 │ │ │ ├── opencv_frame_0.png │ │ │ ├── opencv_frame_1.png │ │ │ ├── opencv_frame_2.png │ │ │ ├── opencv_frame_3.png │ │ │ ├── opencv_frame_4.png │ │ │ ├── opencv_frame_5.png │ │ │ ├── opencv_frame_6.png │ │ │ ├── opencv_frame_7.png │ │ │ ├── opencv_frame_8.png │ │ │ └── opencv_frame_9.png │ │ ├── Arun H R_981 │ │ │ ├── opencv_frame_0.png │ │ │ ├── opencv_frame_1.png │ │ │ ├── opencv_frame_2.png │ │ │ ├── opencv_frame_3.png │ │ │ ├── opencv_frame_4.png │ │ │ ├── opencv_frame_5.png │ │ │ ├── opencv_frame_6.png │ │ │ ├── opencv_frame_7.png │ │ │ └── opencv_frame_8.png │ │ ├── Ashwath G._1016 │ │ │ ├── opencv_frame_0.png │ │ │ ├── opencv_frame_1.png │ │ │ ├── opencv_frame_2.png │ │ │ ├── opencv_frame_3.png │ │ │ ├── opencv_frame_4.png │ │ │ ├── opencv_frame_5.png │ │ │ ├── opencv_frame_6.png │ │ │ ├── opencv_frame_7.png │ │ │ ├── opencv_frame_8.png │ │ │ └── opencv_frame_9.png │ │ ├── Bibi Syeda Ameena_690 │ │ │ ├── opencv_frame_0.png │ │ │ ├── opencv_frame_1.png │ │ │ ├── opencv_frame_2.png │ │ │ ├── opencv_frame_3.png │ │ │ ├── opencv_frame_4.png │ │ │ ├── opencv_frame_5.png │ │ │ ├── opencv_frame_6.png │ │ │ ├── opencv_frame_7.png │ │ │ └── opencv_frame_8.png │ │ ├── Gangadhar_841 │ │ │ ├── opencv_frame_0.png │ │ │ ├── opencv_frame_1.png │ │ │ ├── opencv_frame_2.png │ │ │ ├── opencv_frame_3.png │ │ │ ├── opencv_frame_4.png │ │ │ ├── opencv_frame_5.png │ │ │ ├── opencv_frame_6.png │ │ │ ├── opencv_frame_7.png │ │ │ ├── opencv_frame_8.png │ │ │ └── opencv_frame_9.png │ │ ├── Karthik U_1051 │ │ │ ├── opencv_frame_0.png │ │ │ ├── opencv_frame_1.png │ │ │ ├── opencv_frame_10.png │ │ │ ├── opencv_frame_11.png │ │ │ ├── opencv_frame_12.png │ │ │ ├── opencv_frame_13.png │ │ │ ├── opencv_frame_14.png │ │ │ ├── opencv_frame_15.png │ │ │ ├── opencv_frame_2.png │ │ │ ├── opencv_frame_3.png │ │ │ ├── opencv_frame_4.png │ │ │ ├── opencv_frame_5.png │ │ │ ├── opencv_frame_6.png │ │ │ ├── opencv_frame_7.png │ │ │ ├── opencv_frame_8.png │ │ │ └── opencv_frame_9.png │ │ ├── Kiran Kumar Bs_881 │ │ │ ├── opencv_frame_0.png │ │ │ ├── opencv_frame_1.png │ │ │ ├── opencv_frame_2.png │ │ │ ├── opencv_frame_3.png │ │ │ ├── opencv_frame_4.png │ │ │ ├── opencv_frame_5.png │ │ │ ├── opencv_frame_6.png │ │ │ ├── opencv_frame_7.png │ │ │ ├── opencv_frame_8.png │ │ │ └── opencv_frame_9.png │ │ ├── Mahesh Kp_5019 │ │ │ ├── opencv_frame_0.png │ │ │ ├── opencv_frame_1.png │ │ │ ├── opencv_frame_10.png │ │ │ ├── opencv_frame_11.png │ │ │ ├── opencv_frame_12.png │ │ │ ├── opencv_frame_13.png │ │ │ ├── opencv_frame_14.png │ │ │ ├── opencv_frame_15.png │ │ │ ├── opencv_frame_16.png │ │ │ ├── opencv_frame_17.png │ │ │ ├── opencv_frame_18.png │ │ │ ├── opencv_frame_19.png │ │ │ ├── opencv_frame_2.png │ │ │ ├── opencv_frame_20.png │ │ │ ├── opencv_frame_21.png │ │ │ ├── opencv_frame_22.png │ │ │ ├── opencv_frame_23.png │ │ │ ├── opencv_frame_3.png │ │ │ ├── opencv_frame_4.png │ │ │ ├── opencv_frame_5.png │ │ │ ├── opencv_frame_6.png │ │ │ ├── opencv_frame_7.png │ │ │ ├── opencv_frame_8.png │ │ │ └── opencv_frame_9.png │ │ ├── Najeesh T P_545 │ │ │ ├── opencv_frame_0.png │ │ │ ├── opencv_frame_1.png │ │ │ ├── opencv_frame_10.png │ │ │ ├── opencv_frame_2.png │ │ │ ├── opencv_frame_3.png │ │ │ ├── opencv_frame_4.png │ │ │ ├── opencv_frame_5.png │ │ │ ├── opencv_frame_6.png │ │ │ ├── opencv_frame_7.png │ │ │ ├── opencv_frame_8.png │ │ │ └── opencv_frame_9.png │ │ ├── Namratha Thange M_1057 │ │ │ ├── opencv_frame_0.png │ │ │ ├── opencv_frame_1.png │ │ │ ├── opencv_frame_10.png │ │ │ ├── opencv_frame_11.png │ │ │ ├── opencv_frame_12.png │ │ │ ├── opencv_frame_13.png │ │ │ ├── opencv_frame_14.png │ │ │ ├── opencv_frame_15.png │ │ │ ├── opencv_frame_16.png │ │ │ ├── opencv_frame_17.png │ │ │ ├── opencv_frame_2.png │ │ │ ├── opencv_frame_3.png │ │ │ ├── opencv_frame_4.png │ │ │ ├── opencv_frame_5.png │ │ │ ├── opencv_frame_6.png │ │ │ ├── opencv_frame_7.png │ │ │ ├── opencv_frame_8.png │ │ │ └── opencv_frame_9.png │ │ ├── Prajwal Poojary_979 │ │ │ ├── opencv_frame_0.png │ │ │ ├── opencv_frame_1.png │ │ │ ├── opencv_frame_2.png │ │ │ ├── opencv_frame_3.png │ │ │ ├── opencv_frame_4.png │ │ │ ├── opencv_frame_5.png │ │ │ ├── opencv_frame_6.png │ │ │ └── opencv_frame_7.png │ │ ├── Preetham K._1009 │ │ │ ├── opencv_frame_0.png │ │ │ ├── opencv_frame_1.png │ │ │ ├── opencv_frame_2.png │ │ │ ├── opencv_frame_3.png │ │ │ ├── opencv_frame_4.png │ │ │ ├── opencv_frame_5.png │ │ │ ├── opencv_frame_6.png │ │ │ ├── opencv_frame_7.png │ │ │ ├── opencv_frame_8.png │ │ │ └── opencv_frame_9.png │ │ ├── Priyanka L_0004 │ │ │ ├── opencv_frame_0.png │ │ │ ├── opencv_frame_1.png │ │ │ ├── opencv_frame_2.png │ │ │ ├── opencv_frame_3.png │ │ │ ├── opencv_frame_4.png │ │ │ ├── opencv_frame_5.png │ │ │ ├── opencv_frame_6.png │ │ │ ├── opencv_frame_7.png │ │ │ ├── opencv_frame_8.png │ │ │ └── opencv_frame_9.png │ │ ├── Pushpalatha_0003 │ │ │ ├── opencv_frame_0.png │ │ │ ├── opencv_frame_1.png │ │ │ ├── opencv_frame_2.png │ │ │ ├── opencv_frame_3.png │ │ │ ├── opencv_frame_4.png │ │ │ ├── opencv_frame_5.png │ │ │ ├── opencv_frame_6.png │ │ │ ├── opencv_frame_7.png │ │ │ ├── opencv_frame_8.png │ │ │ └── opencv_frame_9.png │ │ ├── RAMPRASAD_007 │ │ │ ├── opencv_frame_0.png │ │ │ ├── opencv_frame_1.png │ │ │ ├── opencv_frame_10.png │ │ │ ├── opencv_frame_11.png │ │ │ ├── opencv_frame_2.png │ │ │ ├── opencv_frame_3.png │ │ │ ├── opencv_frame_4.png │ │ │ ├── opencv_frame_5.png │ │ │ ├── opencv_frame_6.png │ │ │ ├── opencv_frame_7.png │ │ │ ├── opencv_frame_8.png │ │ │ └── opencv_frame_9.png │ │ ├── Rajendra M_656 │ │ │ ├── opencv_frame_0.png │ │ │ ├── opencv_frame_1.png │ │ │ ├── opencv_frame_2.png │ │ │ ├── opencv_frame_3.png │ │ │ ├── opencv_frame_4.png │ │ │ ├── opencv_frame_5.png │ │ │ ├── opencv_frame_6.png │ │ │ ├── opencv_frame_7.png │ │ │ ├── opencv_frame_8.png │ │ │ └── opencv_frame_9.png │ │ ├── SAMARTH P_0000 │ │ │ ├── opencv_frame_0.png │ │ │ ├── opencv_frame_1.png │ │ │ ├── opencv_frame_10.png │ │ │ ├── opencv_frame_11.png │ │ │ ├── opencv_frame_12.png │ │ │ ├── opencv_frame_13.png │ │ │ ├── opencv_frame_14.png │ │ │ ├── opencv_frame_15.png │ │ │ ├── opencv_frame_16.png │ │ │ ├── opencv_frame_17.png │ │ │ ├── opencv_frame_18.png │ │ │ ├── opencv_frame_19.png │ │ │ ├── opencv_frame_2.png │ │ │ ├── opencv_frame_20.png │ │ │ ├── opencv_frame_21.png │ │ │ ├── opencv_frame_22.png │ │ │ ├── opencv_frame_23.png │ │ │ ├── opencv_frame_24.png │ │ │ ├── opencv_frame_25.png │ │ │ ├── opencv_frame_26.png │ │ │ ├── opencv_frame_27.png │ │ │ ├── opencv_frame_28.png │ │ │ ├── opencv_frame_29.png │ │ │ ├── opencv_frame_3.png │ │ │ ├── opencv_frame_30.png │ │ │ ├── opencv_frame_31.png │ │ │ ├── opencv_frame_32.png │ │ │ ├── opencv_frame_4.png │ │ │ ├── opencv_frame_5.png │ │ │ ├── opencv_frame_6.png │ │ │ ├── opencv_frame_7.png │ │ │ ├── opencv_frame_8.png │ │ │ └── opencv_frame_9.png │ │ ├── Santhosh R_623 │ │ │ ├── opencv_frame_0.png │ │ │ ├── opencv_frame_1.png │ │ │ ├── opencv_frame_2.png │ │ │ ├── opencv_frame_3.png │ │ │ ├── opencv_frame_4.png │ │ │ ├── opencv_frame_5.png │ │ │ ├── opencv_frame_6.png │ │ │ ├── opencv_frame_7.png │ │ │ ├── opencv_frame_8.png │ │ │ └── opencv_frame_9.png │ │ ├── Shahid Nihal_666 │ │ │ ├── opencv_frame_0.png │ │ │ ├── opencv_frame_1.png │ │ │ ├── opencv_frame_10.png │ │ │ ├── opencv_frame_11.png │ │ │ ├── opencv_frame_12.png │ │ │ ├── opencv_frame_13.png │ │ │ ├── opencv_frame_14.png │ │ │ ├── opencv_frame_15.png │ │ │ ├── opencv_frame_16.png │ │ │ ├── opencv_frame_17.png │ │ │ ├── opencv_frame_18.png │ │ │ ├── opencv_frame_19.png │ │ │ ├── opencv_frame_2.png │ │ │ ├── opencv_frame_20.png │ │ │ ├── opencv_frame_21.png │ │ │ ├── opencv_frame_22.png │ │ │ ├── opencv_frame_23.png │ │ │ ├── opencv_frame_24.png │ │ │ ├── opencv_frame_25.png │ │ │ ├── opencv_frame_26.png │ │ │ ├── opencv_frame_27.png │ │ │ ├── opencv_frame_3.png │ │ │ ├── opencv_frame_4.png │ │ │ ├── opencv_frame_5.png │ │ │ ├── opencv_frame_6.png │ │ │ ├── opencv_frame_7.png │ │ │ ├── opencv_frame_8.png │ │ │ └── opencv_frame_9.png │ │ ├── Shinu P T_934 │ │ │ ├── opencv_frame_0.png │ │ │ ├── opencv_frame_1.png │ │ │ ├── opencv_frame_2.png │ │ │ ├── opencv_frame_3.png │ │ │ ├── opencv_frame_4.png │ │ │ ├── opencv_frame_5.png │ │ │ ├── opencv_frame_6.png │ │ │ ├── opencv_frame_7.png │ │ │ ├── opencv_frame_8.png │ │ │ └── opencv_frame_9.png │ │ ├── Shivakumar Mathad_813 │ │ │ ├── opencv_frame_0.png │ │ │ ├── opencv_frame_1.png │ │ │ ├── opencv_frame_2.png │ │ │ ├── opencv_frame_3.png │ │ │ ├── opencv_frame_4.png │ │ │ ├── opencv_frame_5.png │ │ │ ├── opencv_frame_6.png │ │ │ ├── opencv_frame_7.png │ │ │ ├── opencv_frame_8.png │ │ │ └── opencv_frame_9.png │ │ ├── Supritha H S_1056 │ │ │ ├── opencv_frame_0.png │ │ │ ├── opencv_frame_1.png │ │ │ ├── opencv_frame_10.png │ │ │ ├── opencv_frame_11.png │ │ │ ├── opencv_frame_12.png │ │ │ ├── opencv_frame_13.png │ │ │ ├── opencv_frame_14.png │ │ │ ├── opencv_frame_15.png │ │ │ ├── opencv_frame_16.png │ │ │ ├── opencv_frame_2.png │ │ │ ├── opencv_frame_3.png │ │ │ ├── opencv_frame_4.png │ │ │ ├── opencv_frame_5.png │ │ │ ├── opencv_frame_6.png │ │ │ ├── opencv_frame_7.png │ │ │ ├── opencv_frame_8.png │ │ │ └── opencv_frame_9.png │ │ ├── Tejesha K_262 │ │ │ ├── opencv_frame_0.png │ │ │ ├── opencv_frame_1.png │ │ │ ├── opencv_frame_2.png │ │ │ ├── opencv_frame_3.png │ │ │ ├── opencv_frame_4.png │ │ │ ├── opencv_frame_5.png │ │ │ ├── opencv_frame_6.png │ │ │ ├── opencv_frame_7.png │ │ │ ├── opencv_frame_8.png │ │ │ └── opencv_frame_9.png │ │ ├── Tejus_0001 │ │ │ ├── opencv_frame_0.png │ │ │ ├── opencv_frame_1.png │ │ │ ├── opencv_frame_10.png │ │ │ ├── opencv_frame_11.png │ │ │ ├── opencv_frame_12.png │ │ │ ├── opencv_frame_13.png │ │ │ ├── opencv_frame_14.png │ │ │ ├── opencv_frame_15.png │ │ │ ├── opencv_frame_16.png │ │ │ ├── opencv_frame_17.png │ │ │ ├── opencv_frame_18.png │ │ │ ├── opencv_frame_19.png │ │ │ ├── opencv_frame_2.png │ │ │ ├── opencv_frame_20.png │ │ │ ├── opencv_frame_21.png │ │ │ ├── opencv_frame_22.png │ │ │ ├── opencv_frame_23.png │ │ │ ├── opencv_frame_24.png │ │ │ ├── opencv_frame_25.png │ │ │ ├── opencv_frame_26.png │ │ │ ├── opencv_frame_27.png │ │ │ ├── opencv_frame_28.png │ │ │ ├── opencv_frame_29.png │ │ │ ├── opencv_frame_3.png │ │ │ ├── opencv_frame_30.png │ │ │ ├── opencv_frame_31.png │ │ │ ├── opencv_frame_32.png │ │ │ ├── opencv_frame_33.png │ │ │ ├── opencv_frame_34.png │ │ │ ├── opencv_frame_35.png │ │ │ ├── opencv_frame_4.png │ │ │ ├── opencv_frame_5.png │ │ │ ├── opencv_frame_6.png │ │ │ ├── opencv_frame_7.png │ │ │ ├── opencv_frame_8.png │ │ │ └── opencv_frame_9.png │ │ └── Vidyashree H.G._1012 │ │ │ ├── opencv_frame_0.png │ │ │ ├── opencv_frame_1.png │ │ │ ├── opencv_frame_2.png │ │ │ ├── opencv_frame_3.png │ │ │ ├── opencv_frame_4.png │ │ │ ├── opencv_frame_5.png │ │ │ ├── opencv_frame_6.png │ │ │ ├── opencv_frame_7.png │ │ │ ├── opencv_frame_8.png │ │ │ └── opencv_frame_9.png │ ├── detected │ │ ├── Akshith Rai N_2019-08-22 07:05:03.796787+00:00.jpg │ │ ├── Bibi Syeda Ameena_2019-08-22 07:13:55.088358+00:00.jpg │ │ ├── Bibi Syeda Ameena_2019-08-27 07:56:29.197740+00:00.jpg │ │ ├── Preetham K._2019-08-22 07:06:31.054775+00:00.jpg │ │ ├── RAMPRASAD_2019-08-22 07:13:14.485870+00:00.jpg │ │ ├── RAMPRASAD_2019-08-22 07:13:40.267824+00:00.jpg │ │ ├── RAMPRASAD_2019-08-22 07:13:50.303103+00:00.jpg │ │ ├── RAMPRASAD_2019-08-22 07:14:00.440698+00:00.jpg │ │ ├── RAMPRASAD_2019-08-22 09:07:56.649538+00:00.jpg │ │ ├── RAMPRASAD_2019-08-22 09:08:06.708813+00:00.jpg │ │ ├── RAMPRASAD_2019-08-22 09:08:18.420446+00:00.jpg │ │ ├── RAMPRASAD_2019-08-27 08:04:25.608215+00:00.jpg │ │ ├── SAMARTH P_2019-08-22 06:51:35.608751+00:00.jpg │ │ ├── SAMARTH P_2019-08-22 06:51:47.925850+00:00.jpg │ │ ├── SAMARTH P_2019-08-22 06:52:09.722690+00:00.jpg │ │ ├── SAMARTH P_2019-08-22 07:02:21.606986+00:00.jpg │ │ ├── SAMARTH P_2019-08-22 07:05:02.272828+00:00.jpg │ │ ├── SAMARTH P_2019-08-22 07:06:04.909069+00:00.jpg │ │ ├── SAMARTH P_2019-08-22 07:06:14.920116+00:00.jpg │ │ ├── SAMARTH P_2019-08-22 07:06:24.980127+00:00.jpg │ │ ├── SAMARTH P_2019-08-22 07:06:35.068064+00:00.jpg │ │ ├── SAMARTH P_2019-08-22 07:50:22.298895+00:00.jpg │ │ ├── SAMARTH P_2019-08-22 09:14:48.874838+00:00.jpg │ │ ├── SAMARTH P_2019-08-27 07:34:46.276089+00:00.jpg │ │ ├── SAMARTH P_2019-08-28 06:58:08.703752+00:00.jpg │ │ ├── SAMARTH P_2019-08-28 07:33:53.441458+00:00.jpg │ │ ├── SAMARTH P_2019-08-29 14:36:29.297608+00:00.jpg │ │ ├── SHAHEED_2019-08-27 07:34:12.345173+00:00.jpg │ │ ├── SHAHEED_2019-08-27 07:35:13.821761+00:00.jpg │ │ ├── SHAHEED_2019-08-27 07:35:24.896087+00:00.jpg │ │ ├── SHAHEED_2019-08-27 08:04:38.840786+00:00.jpg │ │ ├── TEJUS_2019-08-22 06:51:37.140391+00:00.jpg │ │ ├── TEJUS_2019-08-22 06:51:48.911620+00:00.jpg │ │ ├── TEJUS_2019-08-22 06:51:58.963053+00:00.jpg │ │ ├── Tejus_2019-08-22 07:04:58.426268+00:00.jpg │ │ ├── Tejus_2019-08-22 07:05:08.657432+00:00.jpg │ │ ├── Tejus_2019-08-22 07:06:13.734971+00:00.jpg │ │ ├── Tejus_2019-08-22 07:13:26.480631+00:00.jpg │ │ ├── Tejus_2019-08-22 07:21:08.189801+00:00.jpg │ │ ├── Tejus_2019-08-22 07:49:39.678130+00:00.jpg │ │ ├── Tejus_2019-08-22 07:49:50.309632+00:00.jpg │ │ ├── Tejus_2019-08-22 07:50:03.879884+00:00.jpg │ │ ├── Tejus_2019-08-27 07:34:03.926552+00:00.jpg │ │ ├── Tejus_2019-08-27 07:34:49.038421+00:00.jpg │ │ ├── Tejus_2019-08-27 07:35:57.005757+00:00.jpg │ │ ├── Tejus_2019-08-27 07:36:08.207638+00:00.jpg │ │ ├── Tejus_2019-08-27 07:56:37.071736+00:00.jpg │ │ ├── Tejus_2019-08-27 07:56:51.362638+00:00.jpg │ │ ├── Vidyashree H.G._2019-08-27 07:51:09.183122+00:00.jpg │ │ ├── Vidyashree H.G._2019-08-27 07:56:20.339619+00:00.jpg │ │ ├── noimg.png │ │ ├── unknown_2019-08-22 07:13:52.990842+00:00.jpg │ │ └── unknown_2019-08-27 08:04:25.952507+00:00.jpg │ ├── faster_video_stream.py │ ├── identify_faces.py │ ├── models │ │ ├── trained_knn_model.clf │ │ ├── trained_knn_model2.clf │ │ ├── trained_knn_model3.clf │ │ ├── trained_knn_model_jitters.clf │ │ ├── trained_model.clf │ │ └── trained_model_old.clf │ └── train_faces.py ├── forms.py ├── migrations │ ├── 0001_initial.py │ ├── 0002_auto_20190820_1514.py │ ├── 0003_auto_20190820_1630.py │ ├── 0004_auto_20190820_1941.py │ ├── 0005_detected_photo.py │ ├── 0006_auto_20190827_0501.py │ ├── 0007_auto_20190904_0957.py │ ├── __init__.py │ └── __pycache__ │ │ ├── 0001_initial.cpython-36.pyc │ │ ├── 0001_initial.cpython-37.pyc │ │ ├── 0002_auto_20190820_1514.cpython-36.pyc │ │ ├── 0002_auto_20190820_1514.cpython-37.pyc │ │ ├── 0003_auto_20190820_1630.cpython-36.pyc │ │ ├── 0003_auto_20190820_1630.cpython-37.pyc │ │ ├── 0004_auto_20190820_1941.cpython-36.pyc │ │ ├── 0004_auto_20190820_1941.cpython-37.pyc │ │ ├── 0005_detected_photo.cpython-36.pyc │ │ ├── 0005_detected_photo.cpython-37.pyc │ │ ├── 0006_auto_20190827_0501.cpython-36.pyc │ │ ├── 0006_auto_20190827_0501.cpython-37.pyc │ │ ├── 0007_auto_20190904_0957.cpython-36.pyc │ │ ├── 0007_auto_20190904_0957.cpython-37.pyc │ │ ├── __init__.cpython-36.pyc │ │ └── __init__.cpython-37.pyc ├── models.py ├── static │ ├── css │ │ ├── .DS_Store │ │ ├── bootstrap.css │ │ └── main.css │ ├── fonts │ │ ├── FontAwesome.otf │ │ ├── Linearicons-Free.eot │ │ ├── Linearicons-Free.svg │ │ ├── Linearicons-Free.ttf │ │ ├── Linearicons-Free.woff │ │ ├── Linearicons-Free.woff2 │ │ ├── fontawesome-webfont.eot │ │ ├── fontawesome-webfont.svg │ │ ├── fontawesome-webfont.ttf │ │ ├── fontawesome-webfont.woff │ │ └── fontawesome-webfont.woff2 │ ├── img │ │ └── sanria.png │ └── js │ │ └── vendor │ │ ├── bootstrap.min.js │ │ └── jquery-2.2.4.min.js ├── templates │ ├── app │ │ ├── add_emp.html │ │ ├── add_photos.html │ │ ├── detected.html │ │ ├── detected_copy.html │ │ └── index.html │ └── base.html ├── tests.py ├── urls.py └── views.py ├── db.sqlite3 ├── face_rec_django ├── __init__.py ├── __pycache__ │ ├── __init__.cpython-36.pyc │ ├── __init__.cpython-37.pyc │ ├── settings.cpython-36.pyc │ ├── settings.cpython-37.pyc │ ├── urls.cpython-36.pyc │ ├── urls.cpython-37.pyc │ ├── wsgi.cpython-36.pyc │ └── wsgi.cpython-37.pyc ├── settings.py ├── urls.py └── wsgi.py ├── manage.py ├── media └── detected │ ├── RAMPRASAD_2019-08-22_071314.4858700000.jpg │ ├── SAMARTH P_2019-08-29 14:37:33.223746+00:00.jpg │ ├── SAMARTH P_2019-08-29 14:51:01.232511+00:00.jpg │ ├── SAMARTH P_2019-09-04 05:00:34.892047+00:00.jpg │ ├── SAMARTH P_2019-09-04 05:00:44.960247+00:00.jpg │ ├── SAMARTH P_2019-09-04 05:00:55.066764+00:00.jpg │ ├── SAMARTH P_2019-09-04 06:55:02.220914+00:00.jpg │ ├── SAMARTH P_2019-09-04 07:06:46.020003+00:00.jpg │ ├── SAMARTH P_2019-09-04 07:08:00.553870+00:00.jpg │ ├── SHAHEED_2019-09-04 06:55:01.777290+00:00.jpg │ ├── Shahid Nihal_2019-09-04 07:06:48.927323+00:00.jpg │ ├── Shahid Nihal_2019-09-04 07:08:02.219547+00:00.jpg │ └── Shahid Nihal_2019-09-04 08:38:59.919749+00:00.jpg ├── requirements.txt └── test.db /README.md: -------------------------------------------------------------------------------- 1 | # Employee Face Recognition System 2 | 3 | The face recogntion system is used to train the faces of employees and detect them when they walk past the camera. 4 | It can be used as an attendence system for the employees. 5 | 6 | The system is built using python libraries dlib and face_recognition. Django framework is used to develop the front end for the system. 7 | 8 | ## Installation 9 | 10 | Installing OpenCV, Dlib and face_recogntion libraries 11 | 12 | ```bash 13 | pip install opencv-python 14 | pip install dlib 15 | pip install face_recognition 16 | ``` 17 | 18 | Installing other packages 19 | 20 | ```bash 21 | pip install -r requirements.txt 22 | ``` 23 | 24 | ## Usage 25 | 26 | Firstly, to run the django server, open the terminal and go the following directory 27 | 28 | ```bash 29 | cd face_rec_django 30 | ``` 31 | 32 | and run the following command 33 | 34 | ```bash 35 | python manage.py runserver 36 | ``` 37 | 38 | Then go to the browser and enter the url **http://127.0.0.1:8000/** 39 | 40 |   41 | 42 | 43 | 44 | ## Steps to navigate website 45 | 46 | 47 | 48 | 49 | **1) Identify faces** 50 | 51 | This option will bring up the webcam and capture faces. So leave this open in the background to continuously detect faces. 52 | To close the webcam, click the webcam window and press Q on the keyboard 53 | 54 |   55 | 56 | 57 | **2) Detected faces** 58 | 59 | All the employess that are detected will be displayed here. The records can be viewed by date. 60 | 61 | 62 | 63 |   64 | 65 | **3)Add photos** 66 | 67 | This is used to train faces of employees. Enter the id of the employee and the webcam will popup. If the employee details are not found then go to step 4 to add new employee. 68 | 69 | For best results follow these steps 70 | 71 | - Take 15-20 images (press space bar to click images and you can open the terminal to see number of images clicked) 72 | - For each image slightly change the angle of your face and the distance to the camera. 73 | 74 | To close the webcam, click on the webcam window and press ESC key. 75 | 76 | **NOTE:** if the webcam window doesn't popup, restart the django server by opening the terminal and pressing CTRL+C and run the command 77 | 78 | ```bash 79 | python manage.py runserver 80 | ``` 81 | 82 |   83 | 84 | **4)Add employee** 85 | 86 | New employee details can be added here 87 | 88 | 89 |   90 | 91 | **5)Train model** 92 | 93 | If new employee images are captured, then the model needs to be trained again. Once you click this option, open the terminal to check the progress of the training. 94 | -------------------------------------------------------------------------------- /app/__init__.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/samarth-p/Face_recognition/ec0f6c52a88f0126ff6ab24d9e9472a73f5af236/app/__init__.py -------------------------------------------------------------------------------- /app/__pycache__/__init__.cpython-36.pyc: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/samarth-p/Face_recognition/ec0f6c52a88f0126ff6ab24d9e9472a73f5af236/app/__pycache__/__init__.cpython-36.pyc -------------------------------------------------------------------------------- /app/__pycache__/__init__.cpython-37.pyc: -------------------------------------------------------------------------------- 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f"app/facerec/dataset/{dirName}_{dirID}" 15 | 16 | try: 17 | os.mkdir(DIR) 18 | print("Directory " , dirName , " Created ") 19 | except FileExistsError: 20 | print("Directory " , dirName , " already exists") 21 | img_counter = len(os.listdir(DIR)) 22 | 23 | 24 | 25 | 26 | 27 | while True: 28 | ret, frame = cam.read() 29 | # rgb_small_frame = frame[:, :, ::-1] 30 | 31 | # face_locations = face_recognition.face_locations(rgb_small_frame) 32 | # print(len(face_locations)) 33 | 34 | cv2.imshow("Video", frame) 35 | if not ret: 36 | break 37 | k = cv2.waitKey(1) 38 | 39 | if k%256 == 27: 40 | # ESC pressed 41 | print("Escape hit, closing...") 42 | break 43 | 44 | elif k%256 == 32: 45 | # SPACE pressed 46 | img_name = f"app/facerec/dataset/{dirName}_{dirID}/opencv_frame_{img_counter}.png" 47 | cv2.imwrite(img_name, frame) 48 | print("{} written!".format(img_name)) 49 | img_counter += 1 50 | 51 | cam.release() 52 | 53 | cv2.destroyAllWindows() 54 | 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for face classification. the larger it is, the more chance 16 | of mis-classifying an unknown person as a known one. 17 | :return: a list of names and face locations for the recognized faces in the image: [(name, bounding box), ...]. 18 | For faces of unrecognized persons, the name 'unknown' will be returned. 19 | """ 20 | # if not os.path.isfile(X_img_path) or os.path.splitext(X_img_path)[1][1:] not in ALLOWED_EXTENSIONS: 21 | # raise Exception("Invalid image path: {}".format(X_img_path)) 22 | 23 | if knn_clf is None and model_path is None: 24 | raise Exception("Must supply knn classifier either thourgh knn_clf or model_path") 25 | 26 | # Load a trained KNN model (if one was passed in) 27 | if knn_clf is None: 28 | with open(model_path, 'rb') as f: 29 | knn_clf = pickle.load(f) 30 | 31 | # Load image file and find face locations 32 | # X_img = face_recognition.load_image_file(X_img_path) 33 | X_face_locations = face_recognition.face_locations(rgb_frame, number_of_times_to_upsample=2) 34 | 35 | # If no faces are found in the image, return an empty result. 36 | if len(X_face_locations) == 0: 37 | return [] 38 | 39 | # Find encodings for faces in the test iamge 40 | faces_encodings = face_recognition.face_encodings(rgb_frame, known_face_locations=X_face_locations) 41 | 42 | # Use the KNN model to find the best matches for the test face 43 | closest_distances = knn_clf.kneighbors(faces_encodings, n_neighbors=1) 44 | are_matches = [closest_distances[0][i][0] <= distance_threshold for i in range(len(X_face_locations))] 45 | # print(closest_distances) 46 | # Predict classes and remove classifications that aren't within the threshold 47 | return [(pred, loc) if rec else ("unknown", loc) for pred, loc, rec in zip(knn_clf.predict(faces_encodings), X_face_locations, are_matches)] 48 | 49 | 50 | 51 | # if __name__ == "__main__": 52 | def stream(): 53 | video_capture = cv2.VideoCapture(0) 54 | 55 | process_this_frame = True 56 | 57 | while True: 58 | # Grab a single frame of video 59 | ret, frame = video_capture.read() 60 | 61 | # Resize frame of video to 1/4 size for faster face recognition processing 62 | small_frame = cv2.resize(frame, (0, 0), fx=0.25, fy=0.25) 63 | 64 | # Convert the image from BGR color (which OpenCV uses) to RGB color (which face_recognition uses) 65 | rgb_frame = small_frame[:, :, ::-1] 66 | 67 | if process_this_frame: 68 | predictions = predict(rgb_frame, model_path="app/facerec/models/trained_model.clf") 69 | # print(predictions) 70 | 71 | process_this_frame = not process_this_frame 72 | 73 | for name, (top, right, bottom, left) in predictions: 74 | 75 | top *= 4 76 | right *= 4 77 | bottom *= 4 78 | left *= 4 79 | 80 | # Draw a box around the face 81 | cv2.rectangle(frame, (left, top), (right, bottom), (0, 0, 255), 2) 82 | 83 | # Draw a label with a name below the face 84 | cv2.rectangle(frame, (left, bottom - 35), (right, bottom), (0, 0, 255), cv2.FILLED) 85 | font = cv2.FONT_HERSHEY_DUPLEX 86 | cv2.putText(frame, name, (left + 6, bottom - 6), font, 1.0, (255, 255, 255), 1) 87 | 88 | 89 | # Display the resulting image 90 | cv2.imshow('Video', frame) 91 | 92 | # Hit 'q' on the keyboard to quit! 93 | if cv2.waitKey(1) & 0xFF == ord('q'): 94 | break 95 | 96 | # Release handle to the webcam 97 | video_capture.release() 98 | cv2.destroyAllWindows() 99 | 100 | -------------------------------------------------------------------------------- /app/facerec/identify_faces.py: -------------------------------------------------------------------------------- 1 | from .models import Employee, Detected 2 | import cv2 3 | import pickle 4 | import face_recognition 5 | import datetime 6 | from cachetools import TTLCache 7 | from django.utils import timezone 8 | 9 | 10 | cache = TTLCache(maxsize=20, ttl=10) 11 | 12 | 13 | def identify1(frame, name, buf, buf_length, known_conf): 14 | 15 | if name in cache: 16 | return 17 | count = 0 18 | for ele in buf: 19 | count += ele.count(name) 20 | 21 | if count >= known_conf: 22 | timestamp = datetime.datetime.now(tz=timezone.utc) 23 | print(name, timestamp) 24 | cache[name] = 'detected' 25 | path = 'app/facerec/detected/{}_{}.jpg'.format(name, timestamp) 26 | cv2.imwrite(path, frame) 27 | try: 28 | emp = Employee.objects.get(name=name) 29 | emp.detected_set.create(time_stamp=timestamp) 30 | except: 31 | pass 32 | 33 | 34 | 35 | 36 | def predict(rgb_frame, knn_clf=None, model_path=None, distance_threshold=0.5): 37 | 38 | if knn_clf is None and model_path is None: 39 | raise Exception("Must supply knn classifier either thourgh knn_clf or model_path") 40 | 41 | # Load a trained KNN model (if one was passed in) 42 | if knn_clf is None: 43 | with open(model_path, 'rb') as f: 44 | knn_clf = pickle.load(f) 45 | 46 | # Load image file and find face locations 47 | # X_img = face_recognition.load_image_file(X_img_path) 48 | X_face_locations = face_recognition.face_locations(rgb_frame, number_of_times_to_upsample=2) 49 | 50 | # If no faces are found in the image, return an empty result. 51 | if len(X_face_locations) == 0: 52 | return [] 53 | 54 | # Find encodings for faces in the test iamge 55 | faces_encodings = face_recognition.face_encodings(rgb_frame, known_face_locations=X_face_locations) 56 | 57 | # Use the KNN model to find the best matches for the test face 58 | closest_distances = knn_clf.kneighbors(faces_encodings, n_neighbors=1) 59 | are_matches = [closest_distances[0][i][0] <= distance_threshold for i in range(len(X_face_locations))] 60 | # print(closest_distances) 61 | # Predict classes and remove classifications that aren't within the threshold 62 | return [(pred, loc) if rec else ("unknown", loc) for pred, loc, rec in zip(knn_clf.predict(faces_encodings), X_face_locations, are_matches)] 63 | 64 | 65 | 66 | def identify_faces(video_capture): 67 | 68 | buf_length = 10 69 | known_conf = 5 70 | buf = [[]] * buf_length 71 | i = 0 72 | 73 | process_this_frame = True 74 | 75 | while True: 76 | # Grab a single frame of video 77 | ret, frame = video_capture.read() 78 | 79 | # Resize frame of video to 1/4 size for faster face recognition processing 80 | small_frame = cv2.resize(frame, (0, 0), fx=0.25, fy=0.25) 81 | 82 | # Convert the image from BGR color (which OpenCV uses) to RGB color (which face_recognition uses) 83 | rgb_frame = small_frame[:, :, ::-1] 84 | 85 | if process_this_frame: 86 | predictions = predict(rgb_frame, model_path="app/facerec/models/trained_model.clf") 87 | # print(predictions) 88 | 89 | process_this_frame = not process_this_frame 90 | 91 | face_names = [] 92 | 93 | for name, (top, right, bottom, left) in predictions: 94 | 95 | top *= 4 96 | right *= 4 97 | bottom *= 4 98 | left *= 4 99 | 100 | # Draw a box around the face 101 | cv2.rectangle(frame, (left, top), (right, bottom), (0, 0, 255), 2) 102 | 103 | # Draw a label with a name below the face 104 | cv2.rectangle(frame, (left, bottom - 35), (right, bottom), (0, 0, 255), cv2.FILLED) 105 | font = cv2.FONT_HERSHEY_DUPLEX 106 | cv2.putText(frame, name, (left + 6, bottom - 6), font, 1.0, (255, 255, 255), 1) 107 | 108 | identify1(frame, name, buf, buf_length, known_conf) 109 | 110 | face_names.append(name) 111 | 112 | buf[i] = face_names 113 | i = (i + 1) % buf_length 114 | 115 | 116 | # print(buf) 117 | 118 | 119 | # Display the resulting image 120 | cv2.imshow('Video', frame) 121 | 122 | # Hit 'q' on the keyboard to quit! 123 | if cv2.waitKey(1) & 0xFF == ord('q'): 124 | break 125 | 126 | # Release handle to the webcam 127 | video_capture.release() 128 | cv2.destroyAllWindows() -------------------------------------------------------------------------------- /app/facerec/models/trained_knn_model.clf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/samarth-p/Face_recognition/ec0f6c52a88f0126ff6ab24d9e9472a73f5af236/app/facerec/models/trained_knn_model.clf -------------------------------------------------------------------------------- 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-------------------------------------------------------------------------------- /app/facerec/models/trained_model.clf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/samarth-p/Face_recognition/ec0f6c52a88f0126ff6ab24d9e9472a73f5af236/app/facerec/models/trained_model.clf -------------------------------------------------------------------------------- /app/facerec/models/trained_model_old.clf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/samarth-p/Face_recognition/ec0f6c52a88f0126ff6ab24d9e9472a73f5af236/app/facerec/models/trained_model_old.clf -------------------------------------------------------------------------------- /app/facerec/train_faces.py: -------------------------------------------------------------------------------- 1 | from tqdm import tqdm 2 | import math 3 | from sklearn import neighbors 4 | import os 5 | import os.path 6 | import pickle 7 | import face_recognition 8 | from face_recognition.face_recognition_cli import image_files_in_folder 9 | 10 | ALLOWED_EXTENSIONS = {'png', 'jpg', 'jpeg'} 11 | 12 | 13 | def train(train_dir, model_save_path=None, n_neighbors=None, knn_algo='ball_tree', verbose=False): 14 | """ 15 | Trains a k-nearest neighbors classifier for face recognition. 16 | 17 | :param train_dir: directory that contains a sub-directory for each known person, with its name. 18 | 19 | (View in source code to see train_dir example tree structure) 20 | 21 | Structure: 22 | / 23 | ├── / 24 | │ ├── .jpeg 25 | │ ├── .jpeg 26 | │ ├── ... 27 | ├── / 28 | │ ├── .jpeg 29 | │ └── .jpeg 30 | └── ... 31 | 32 | :param model_save_path: (optional) path to save model on disk 33 | :param n_neighbors: (optional) number of neighbors to weigh in classification. Chosen automatically if not specified 34 | :param knn_algo: (optional) underlying data structure to support knn.default is ball_tree 35 | :param verbose: verbosity of training 36 | :return: returns knn classifier that was trained on the given data. 37 | """ 38 | X = [] 39 | y = [] 40 | 41 | # Loop through each person in the training set 42 | for class_dir in tqdm(os.listdir(train_dir)): 43 | if not os.path.isdir(os.path.join(train_dir, class_dir)): 44 | continue 45 | 46 | # Loop through each training image for the current person 47 | for img_path in image_files_in_folder(os.path.join(train_dir, class_dir)): 48 | image = face_recognition.load_image_file(img_path) 49 | face_bounding_boxes = face_recognition.face_locations(image) 50 | 51 | if len(face_bounding_boxes) != 1: 52 | # If there are no people (or too many people) in a training image, skip the image. 53 | if verbose: 54 | print("Image {} not suitable for training: {}".format(img_path, "Didn't find a face" if len(face_bounding_boxes) < 1 else "Found more than one face")) 55 | else: 56 | # Add face encoding for current image to the training set 57 | X.append(face_recognition.face_encodings(image, known_face_locations=face_bounding_boxes)[0]) 58 | y.append(class_dir.split('_')[0]) 59 | 60 | # Determine how many neighbors to use for weighting in the KNN classifier 61 | if n_neighbors is None: 62 | n_neighbors = int(round(math.sqrt(len(X)))) 63 | if verbose: 64 | print("Chose n_neighbors automatically:", n_neighbors) 65 | 66 | # Create and train the KNN classifier 67 | knn_clf = neighbors.KNeighborsClassifier(n_neighbors=n_neighbors, algorithm=knn_algo, weights='distance') 68 | knn_clf.fit(X, y) 69 | 70 | # Save the trained KNN classifier 71 | if model_save_path is not None: 72 | with open(model_save_path, 'wb') as f: 73 | pickle.dump(knn_clf, f) 74 | 75 | return knn_clf 76 | 77 | 78 | 79 | # if __name__ == "__main__": 80 | def trainer(): 81 | # STEP 1: Train the KNN classifier and save it to disk 82 | # Once the model is trained and saved, you can skip this step next time. 83 | print("Training KNN classifier...") 84 | classifier = train("app/facerec/dataset", model_save_path="app/facerec/models/trained_model.clf", n_neighbors=3) 85 | print("Training complete!") 86 | 87 | -------------------------------------------------------------------------------- /app/forms.py: -------------------------------------------------------------------------------- 1 | from django import forms 2 | 3 | from .models import Employee 4 | 5 | class EmployeeForm(forms.ModelForm): 6 | 7 | class Meta: 8 | model = Employee 9 | fields = ('id', 'name',) -------------------------------------------------------------------------------- /app/migrations/0001_initial.py: -------------------------------------------------------------------------------- 1 | # Generated by Django 2.2.4 on 2019-08-12 07:58 2 | 3 | from django.db import migrations, models 4 | import django.db.models.deletion 5 | 6 | 7 | class Migration(migrations.Migration): 8 | 9 | initial = True 10 | 11 | dependencies = [ 12 | ] 13 | 14 | operations = [ 15 | migrations.CreateModel( 16 | name='Employee', 17 | fields=[ 18 | ('id', models.CharField(max_length=10, primary_key=True, serialize=False)), 19 | ('name', models.CharField(max_length=50)), 20 | ('contact_number', models.CharField(max_length=50)), 21 | ('date_of_birth', models.CharField(max_length=50)), 22 | ('date_of_joining', models.CharField(max_length=50)), 23 | ('department', models.CharField(max_length=50)), 24 | ('designation', models.CharField(max_length=50)), 25 | ('gender', models.CharField(choices=[('Male', 'Male'), ('Female', 'Female')], default='Male', max_length=50)), 26 | ('team', models.CharField(max_length=50)), 27 | ], 28 | ), 29 | migrations.CreateModel( 30 | name='Detected', 31 | fields=[ 32 | ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), 33 | ('time_stamp', models.DateTimeField()), 34 | ('emp_id', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='app.Employee')), 35 | ], 36 | ), 37 | ] 38 | -------------------------------------------------------------------------------- /app/migrations/0002_auto_20190820_1514.py: -------------------------------------------------------------------------------- 1 | # Generated by Django 2.2.4 on 2019-08-20 15:14 2 | 3 | import datetime 4 | from django.db import migrations, models 5 | 6 | 7 | class Migration(migrations.Migration): 8 | 9 | dependencies = [ 10 | ('app', '0001_initial'), 11 | ] 12 | 13 | operations = [ 14 | migrations.AlterField( 15 | model_name='detected', 16 | name='time_stamp', 17 | field=models.DateTimeField(default=datetime.datetime.now), 18 | ), 19 | ] 20 | -------------------------------------------------------------------------------- /app/migrations/0003_auto_20190820_1630.py: -------------------------------------------------------------------------------- 1 | # Generated by Django 2.2.4 on 2019-08-20 16:30 2 | 3 | from django.db import migrations, models 4 | 5 | 6 | class Migration(migrations.Migration): 7 | 8 | dependencies = [ 9 | ('app', '0002_auto_20190820_1514'), 10 | ] 11 | 12 | operations = [ 13 | migrations.AlterField( 14 | model_name='detected', 15 | name='time_stamp', 16 | field=models.DateTimeField(), 17 | ), 18 | ] 19 | -------------------------------------------------------------------------------- /app/migrations/0004_auto_20190820_1941.py: -------------------------------------------------------------------------------- 1 | # Generated by Django 2.2.4 on 2019-08-20 19:41 2 | 3 | from django.db import migrations, models 4 | import django.db.models.deletion 5 | 6 | 7 | class Migration(migrations.Migration): 8 | 9 | dependencies = [ 10 | ('app', '0003_auto_20190820_1630'), 11 | ] 12 | 13 | operations = [ 14 | migrations.AlterField( 15 | model_name='detected', 16 | name='emp_id', 17 | field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.CASCADE, to='app.Employee'), 18 | ), 19 | ] 20 | -------------------------------------------------------------------------------- /app/migrations/0005_detected_photo.py: -------------------------------------------------------------------------------- 1 | # Generated by Django 2.2.4 on 2019-08-21 04:23 2 | 3 | from django.db import migrations, models 4 | 5 | 6 | class Migration(migrations.Migration): 7 | 8 | dependencies = [ 9 | ('app', '0004_auto_20190820_1941'), 10 | ] 11 | 12 | operations = [ 13 | migrations.AddField( 14 | model_name='detected', 15 | name='photo', 16 | field=models.ImageField(default='app/facerec/detected/noimg.png', upload_to='app/facerec/detected/'), 17 | ), 18 | ] 19 | -------------------------------------------------------------------------------- /app/migrations/0006_auto_20190827_0501.py: -------------------------------------------------------------------------------- 1 | # Generated by Django 2.2.4 on 2019-08-27 05:01 2 | 3 | from django.db import migrations, models 4 | 5 | 6 | class Migration(migrations.Migration): 7 | 8 | dependencies = [ 9 | ('app', '0005_detected_photo'), 10 | ] 11 | 12 | operations = [ 13 | migrations.AlterField( 14 | model_name='detected', 15 | name='photo', 16 | field=models.ImageField(default='app/facerec/detected/noimg.png', upload_to='detected/'), 17 | ), 18 | ] 19 | -------------------------------------------------------------------------------- /app/migrations/0007_auto_20190904_0957.py: -------------------------------------------------------------------------------- 1 | # Generated by Django 2.2.4 on 2019-09-04 04:27 2 | 3 | from django.db import migrations 4 | 5 | 6 | class Migration(migrations.Migration): 7 | 8 | dependencies = [ 9 | ('app', '0006_auto_20190827_0501'), 10 | ] 11 | 12 | operations = [ 13 | migrations.RemoveField( 14 | model_name='employee', 15 | name='contact_number', 16 | ), 17 | migrations.RemoveField( 18 | model_name='employee', 19 | name='date_of_birth', 20 | ), 21 | migrations.RemoveField( 22 | model_name='employee', 23 | name='date_of_joining', 24 | ), 25 | migrations.RemoveField( 26 | model_name='employee', 27 | name='department', 28 | ), 29 | migrations.RemoveField( 30 | model_name='employee', 31 | name='designation', 32 | ), 33 | migrations.RemoveField( 34 | model_name='employee', 35 | name='gender', 36 | ), 37 | migrations.RemoveField( 38 | model_name='employee', 39 | name='team', 40 | ), 41 | ] 42 | -------------------------------------------------------------------------------- /app/migrations/__init__.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/samarth-p/Face_recognition/ec0f6c52a88f0126ff6ab24d9e9472a73f5af236/app/migrations/__init__.py -------------------------------------------------------------------------------- /app/migrations/__pycache__/0001_initial.cpython-36.pyc: -------------------------------------------------------------------------------- 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14 | name = models.CharField(max_length=50) 15 | # contact_number = models.CharField(max_length=50) 16 | # date_of_birth = models.CharField(max_length=50) 17 | # date_of_joining = models.CharField(max_length=50) 18 | # department = models.CharField(max_length=50) 19 | # designation = models.CharField(max_length=50) 20 | # gender = models.CharField(max_length=50, choices=sex_choice, default='Male') 21 | # team = models.CharField(max_length=50) 22 | 23 | def __str__(self): 24 | return self.name 25 | 26 | def num_photos(self): 27 | try: 28 | DIR = f"app/facerec/dataset/{self.name}_{self.id}" 29 | img_count = len(os.listdir(DIR)) 30 | return img_count 31 | except: 32 | return 0 33 | 34 | 35 | class Detected(models.Model): 36 | emp_id = models.ForeignKey(Employee, on_delete=models.CASCADE, null=True) 37 | time_stamp = models.DateTimeField() 38 | photo = models.ImageField(upload_to='detected/', default='app/facerec/detected/noimg.png') 39 | 40 | def __str__(self): 41 | emp = Employee.objects.get(name=self.emp_id) 42 | return f"{emp.name} {self.time_stamp}" 43 | 44 | -------------------------------------------------------------------------------- /app/static/css/.DS_Store: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/samarth-p/Face_recognition/ec0f6c52a88f0126ff6ab24d9e9472a73f5af236/app/static/css/.DS_Store -------------------------------------------------------------------------------- /app/static/css/main.css: -------------------------------------------------------------------------------- 1 | body { 2 | background-image: -moz-linear-gradient(0deg, #d5e1e1 0%, #b5c8cc 100%); 3 | background-image: -webkit-linear-gradient(0deg, #d5e1e1 0%, #b5c8cc 100%); 4 | background-image: -ms-linear-gradient(0deg, #d5e1e1 0%, #b5c8cc 100%); 5 | } 6 | 7 | textarea 8 | { 9 | width:100%; 10 | } 11 | .textwrapper 12 | { 13 | border:1px solid #999999; 14 | margin:5px 0; 15 | padding:3px; 16 | } 17 | 18 | .linesplit{ 19 | padding-top: 10px; 20 | } 21 | 22 | .content { 23 | width: 300px; 24 | height: 500px; 25 | background-color: white; 26 | 27 | position:absolute; /*it can be fixed too*/ 28 | left:0; right:0; 29 | top:0; bottom:0; 30 | margin:auto; 31 | padding: 50px; 32 | 33 | /*this to solve "the content will not be cut when the window is smaller than the content": */ 34 | max-width:100%; 35 | } 36 | 37 | .block { 38 | text-align: center; 39 | display: block; 40 | width: 100%; 41 | border: none; 42 | padding: 14px 28px; 43 | font-size: 16px; 44 | cursor: pointer; 45 | 46 | } 47 | -------------------------------------------------------------------------------- /app/static/fonts/FontAwesome.otf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/samarth-p/Face_recognition/ec0f6c52a88f0126ff6ab24d9e9472a73f5af236/app/static/fonts/FontAwesome.otf -------------------------------------------------------------------------------- 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8 |

Enter Employee details

9 | 10 |
{% csrf_token %} 11 |
12 |
ID:         {{ form.id }}
13 |
NAME: {{ form.name }}
14 | 15 |
16 | 17 |
18 |
19 | {% endblock %} 20 | 21 | 22 | -------------------------------------------------------------------------------- /app/templates/app/add_photos.html: -------------------------------------------------------------------------------- 1 | {% extends 'base.html' %} 2 | {% load staticfiles %} 3 | 4 | 5 | 6 | 42 | 43 | 44 | {% block content %} 45 |
46 | 47 | 48 | 49 | 50 | 51 | 52 | 53 | 54 | 55 | {% for emp in emp_list %} 56 | 57 | 58 | 59 | 60 | 61 | {% endfor %} 62 |
IDNamePhotos
{{emp.id}}{{emp.name}}{{emp.num_photos}}
63 |
64 | 65 | 66 | 67 | 87 | {% endblock %} -------------------------------------------------------------------------------- /app/templates/app/detected.html: -------------------------------------------------------------------------------- 1 | {% extends 'base.html' %} 2 | {% load staticfiles %} 3 | 4 | {% block css %} 5 | 38 | 39 | {% endblock %} 40 | 41 | {% block content %} 42 | 43 | 44 |
45 | 46 |
47 | Enter Date: 48 | 49 |
50 |
51 | 52 | Date: {{ date|date:"D, d M, Y" }} 53 | 54 | 55 |
56 | 57 | 58 | 59 | 60 | 61 | 62 | 63 | {% for det in det_list %} 64 | 65 | 66 | 67 | 68 | 87 | 88 | 89 | 90 | 91 | 92 | 93 | 94 | 95 | {% endfor %} 96 |
IDtimestampImage
{{det.emp_id}}{{det.time_stamp}} 69 | 70 | 71 | 72 | 73 | 74 | 86 |
97 |
98 | 99 | 119 | {% endblock %} 120 | -------------------------------------------------------------------------------- /app/templates/app/detected_copy.html: -------------------------------------------------------------------------------- 1 | {% extends 'base.html' %} 2 | {% load staticfiles %} 3 | 4 | 5 | 6 | 7 | {% block css %} 8 | 135 | {% endblock %} 136 | 137 | {% block content %} 138 | 139 | 140 |
141 | 142 |
143 | Enter Date: 144 | 145 |
146 |
147 | 148 | Date: {{ date|date:"D, d M, Y" }} 149 | 150 | 151 |
152 | 153 | 154 | 155 | 156 | 157 | 158 | 159 | {% for det in det_list %} 160 | 161 | 162 | 163 | 173 | 174 | {% endfor %} 175 |
IDtimestampImage
{{det.emp_id}}{{det.time_stamp}} 164 | 165 | 166 | 167 | 172 |
176 |
177 | {% endblock %} 178 | 179 | 180 | 181 | 182 | {% block js %} 183 | 226 | {% endblock %} -------------------------------------------------------------------------------- /app/templates/app/index.html: -------------------------------------------------------------------------------- 1 | {% extends 'base.html' %} 2 | {% load staticfiles %} 3 | 4 | {% block content %} 5 | 6 | 7 |
8 |

SANRIA Employee Recognition System

9 |
10 |
11 | Identify Faces 12 | Detected Faces 13 | Add Employee 14 | Add photos 15 | Train model 16 |
17 |
18 | {% endblock %} -------------------------------------------------------------------------------- /app/templates/base.html: -------------------------------------------------------------------------------- 1 | {% load static %} 2 | 3 | 4 | 5 | 6 | {% block title %}{% endblock %} 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | {% block css %}{% endblock %} 15 | 16 | 17 | 18 | 19 |
20 | {% block content %}{% endblock %} 21 | 22 | 23 | 24 | 25 | {% block js %} {% endblock %} 26 | 27 | -------------------------------------------------------------------------------- /app/tests.py: -------------------------------------------------------------------------------- 1 | from django.test import TestCase 2 | 3 | # Create your tests here. 4 | -------------------------------------------------------------------------------- /app/urls.py: -------------------------------------------------------------------------------- 1 | from django.urls import path 2 | 3 | from . import views 4 | 5 | urlpatterns = [ 6 | path('', views.index, name='index'), 7 | path('video_stream/', views.video_stream, name='video_stream'), 8 | path('add_photos/', views.add_photos, name='add_photos'), 9 | path('add_photos//', views.click_photos, name='click_photos'), 10 | path('train_model/', views.train_model, name='train_model'), 11 | path('detected/', views.detected, name='detected'), 12 | path('identify/', views.identify, name='identify'), 13 | path('add_emp/', views.add_emp, name='add_emp'), 14 | ] -------------------------------------------------------------------------------- /db.sqlite3: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/samarth-p/Face_recognition/ec0f6c52a88f0126ff6ab24d9e9472a73f5af236/db.sqlite3 -------------------------------------------------------------------------------- /face_rec_django/__init__.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/samarth-p/Face_recognition/ec0f6c52a88f0126ff6ab24d9e9472a73f5af236/face_rec_django/__init__.py -------------------------------------------------------------------------------- /face_rec_django/__pycache__/__init__.cpython-36.pyc: -------------------------------------------------------------------------------- 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-------------------------------------------------------------------------------- 1 | """ 2 | Django settings for face_rec_django project. 3 | 4 | Generated by 'django-admin startproject' using Django 2.2.4. 5 | 6 | For more information on this file, see 7 | https://docs.djangoproject.com/en/2.2/topics/settings/ 8 | 9 | For the full list of settings and their values, see 10 | https://docs.djangoproject.com/en/2.2/ref/settings/ 11 | """ 12 | 13 | import os 14 | 15 | # Build paths inside the project like this: os.path.join(BASE_DIR, ...) 16 | BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) 17 | 18 | 19 | # Quick-start development settings - unsuitable for production 20 | # See https://docs.djangoproject.com/en/2.2/howto/deployment/checklist/ 21 | 22 | # SECURITY WARNING: keep the secret key used in production secret! 23 | SECRET_KEY = '#*zuhdljwyuo^0n55bod%e$oakmug4!388a$q+9@^o_=usva$g' 24 | 25 | # SECURITY WARNING: don't run with debug turned on in production! 26 | DEBUG = True 27 | 28 | ALLOWED_HOSTS = [] 29 | 30 | 31 | # Application definition 32 | 33 | INSTALLED_APPS = [ 34 | 'app.apps.AppConfig', 35 | 'django.contrib.admin', 36 | 'django.contrib.auth', 37 | 'django.contrib.contenttypes', 38 | 'django.contrib.sessions', 39 | 'django.contrib.messages', 40 | 'django.contrib.staticfiles', 41 | ] 42 | 43 | MIDDLEWARE = [ 44 | 'django.middleware.security.SecurityMiddleware', 45 | 'django.contrib.sessions.middleware.SessionMiddleware', 46 | 'django.middleware.common.CommonMiddleware', 47 | 'django.middleware.csrf.CsrfViewMiddleware', 48 | 'django.contrib.auth.middleware.AuthenticationMiddleware', 49 | 'django.contrib.messages.middleware.MessageMiddleware', 50 | 'django.middleware.clickjacking.XFrameOptionsMiddleware', 51 | ] 52 | 53 | ROOT_URLCONF = 'face_rec_django.urls' 54 | 55 | TEMPLATES = [ 56 | { 57 | 'BACKEND': 'django.template.backends.django.DjangoTemplates', 58 | 'DIRS': [], 59 | 'APP_DIRS': True, 60 | 'OPTIONS': { 61 | 'context_processors': [ 62 | 'django.template.context_processors.debug', 63 | 'django.template.context_processors.request', 64 | 'django.contrib.auth.context_processors.auth', 65 | 'django.contrib.messages.context_processors.messages', 66 | ], 67 | }, 68 | }, 69 | ] 70 | 71 | WSGI_APPLICATION = 'face_rec_django.wsgi.application' 72 | 73 | 74 | # Database 75 | # https://docs.djangoproject.com/en/2.2/ref/settings/#databases 76 | 77 | DATABASES = { 78 | 'default': { 79 | 'ENGINE': 'django.db.backends.sqlite3', 80 | 'NAME': os.path.join(BASE_DIR, 'db.sqlite3'), 81 | } 82 | } 83 | 84 | 85 | # Password validation 86 | # https://docs.djangoproject.com/en/2.2/ref/settings/#auth-password-validators 87 | 88 | AUTH_PASSWORD_VALIDATORS = [ 89 | { 90 | 'NAME': 'django.contrib.auth.password_validation.UserAttributeSimilarityValidator', 91 | }, 92 | { 93 | 'NAME': 'django.contrib.auth.password_validation.MinimumLengthValidator', 94 | }, 95 | { 96 | 'NAME': 'django.contrib.auth.password_validation.CommonPasswordValidator', 97 | }, 98 | { 99 | 'NAME': 'django.contrib.auth.password_validation.NumericPasswordValidator', 100 | }, 101 | ] 102 | 103 | 104 | # Internationalization 105 | # https://docs.djangoproject.com/en/2.2/topics/i18n/ 106 | 107 | LANGUAGE_CODE = 'en-us' 108 | 109 | TIME_ZONE = 'Asia/Kolkata' 110 | 111 | USE_I18N = True 112 | 113 | USE_L10N = True 114 | 115 | USE_TZ = True 116 | 117 | 118 | # Static files (CSS, JavaScript, Images) 119 | # https://docs.djangoproject.com/en/2.2/howto/static-files/ 120 | 121 | STATIC_URL = '/static/' 122 | 123 | MEDIA_ROOT = os.path.join(BASE_DIR, 'media') 124 | MEDIA_URL = '/media/' 125 | 126 | -------------------------------------------------------------------------------- /face_rec_django/urls.py: -------------------------------------------------------------------------------- 1 | """face_rec_django URL Configuration 2 | 3 | The `urlpatterns` list routes URLs to views. For more information please see: 4 | https://docs.djangoproject.com/en/2.2/topics/http/urls/ 5 | Examples: 6 | Function views 7 | 1. Add an import: from my_app import views 8 | 2. Add a URL to urlpatterns: path('', views.home, name='home') 9 | Class-based views 10 | 1. Add an import: from other_app.views import Home 11 | 2. Add a URL to urlpatterns: path('', Home.as_view(), name='home') 12 | Including another URLconf 13 | 1. Import the include() function: from django.urls import include, path 14 | 2. Add a URL to urlpatterns: path('blog/', include('blog.urls')) 15 | """ 16 | from django.contrib import admin 17 | from django.urls import path, include 18 | from . import settings 19 | from django.contrib.staticfiles.urls import static 20 | from django.contrib.staticfiles.urls import staticfiles_urlpatterns 21 | from django.contrib.auth import views as auth_views 22 | 23 | urlpatterns = [ 24 | path('', include('app.urls')), 25 | path('admin/', admin.site.urls), 26 | ] 27 | 28 | urlpatterns += staticfiles_urlpatterns() 29 | urlpatterns += static(settings.MEDIA_URL, document_root=settings.MEDIA_ROOT) 30 | -------------------------------------------------------------------------------- /face_rec_django/wsgi.py: -------------------------------------------------------------------------------- 1 | """ 2 | WSGI config for face_rec_django project. 3 | 4 | It exposes the WSGI callable as a module-level variable named ``application``. 5 | 6 | For more information on this file, see 7 | https://docs.djangoproject.com/en/2.2/howto/deployment/wsgi/ 8 | """ 9 | 10 | import os 11 | 12 | from django.core.wsgi import get_wsgi_application 13 | 14 | os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'face_rec_django.settings') 15 | 16 | application = get_wsgi_application() 17 | -------------------------------------------------------------------------------- /manage.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env python 2 | """Django's command-line utility for administrative tasks.""" 3 | import os 4 | import sys 5 | 6 | 7 | def main(): 8 | os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'face_rec_django.settings') 9 | try: 10 | from django.core.management import execute_from_command_line 11 | except ImportError as exc: 12 | raise ImportError( 13 | "Couldn't import Django. Are you sure it's installed and " 14 | "available on your PYTHONPATH environment variable? Did you " 15 | "forget to activate a virtual environment?" 16 | ) from exc 17 | execute_from_command_line(sys.argv) 18 | 19 | 20 | if __name__ == '__main__': 21 | main() 22 | -------------------------------------------------------------------------------- /media/detected/RAMPRASAD_2019-08-22_071314.4858700000.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/samarth-p/Face_recognition/ec0f6c52a88f0126ff6ab24d9e9472a73f5af236/media/detected/RAMPRASAD_2019-08-22_071314.4858700000.jpg -------------------------------------------------------------------------------- /media/detected/SAMARTH P_2019-08-29 14:37:33.223746+00:00.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/samarth-p/Face_recognition/ec0f6c52a88f0126ff6ab24d9e9472a73f5af236/media/detected/SAMARTH P_2019-08-29 14:37:33.223746+00:00.jpg 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