{"id":21845489,"url":"https://github.com/hamedmp/deep-learning-faces","last_synced_at":"2026-05-19T02:38:58.893Z","repository":{"id":68476209,"uuid":"52336435","full_name":"HamedMP/deep-learning-faces","owner":"HamedMP","description":"Automatically exported from code.google.com/p/deep-learning-faces","archived":false,"fork":false,"pushed_at":"2016-02-23T06:34:38.000Z","size":181,"stargazers_count":1,"open_issues_count":0,"forks_count":1,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-01-26T12:08:54.296Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Cuda","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"gpl-3.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/HamedMP.png","metadata":{"files":{"readme":"README","changelog":null,"contributing":null,"funding":null,"license":"License.txt","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2016-02-23T06:31:44.000Z","updated_at":"2019-07-27T11:28:16.000Z","dependencies_parsed_at":"2023-05-06T21:45:14.569Z","dependency_job_id":null,"html_url":"https://github.com/HamedMP/deep-learning-faces","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/HamedMP%2Fdeep-learning-faces","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/HamedMP%2Fdeep-learning-faces/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/HamedMP%2Fdeep-learning-faces/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/HamedMP%2Fdeep-learning-faces/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/HamedMP","download_url":"https://codeload.github.com/HamedMP/deep-learning-faces/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":244830620,"owners_count":20517527,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-11-27T23:10:06.212Z","updated_at":"2026-05-19T02:38:53.848Z","avatar_url":"https://github.com/HamedMP.png","language":"Cuda","funding_links":[],"categories":[],"sub_categories":[],"readme":"Copyright (C) 2013 Yichuan Tang. \ncontact: tang at cs.toronto.edu\nhttp://www.cs.toronto.edu/~tang\n\nThis program is free software: you can redistribute it and/or modify\nit under the terms of the GNU General Public License as published by\nthe Free Software Foundation, either version 3 of the License, or\n(at your option) any later version.\n\nThis program is distributed in the hope that it will be useful,\nbut WITHOUT ANY WARRANTY; without even the implied warranty of\nMERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the\nGNU General Public License for more details.\n\nYou should have received a copy of the GNU General Public License\nalong with this program.  If not, see \u003chttp://www.gnu.org/licenses/\u003e.\n\n\n////////////////////////////////////////////////////////////////////\nCT 5.30.2013\nNote: I have only tested this on linux Ubuntu 12.04, with cuda 5.\nit should work with previous cuda versions with minor tweaks to the \nbuild scripts\n\n////////////////////////////////////////////////////////////////////\nCompiling:\n////////////////////////////////////////////////////////////////////\nto make shared CUDA/C++ shared library:\n0. install cuda 5\n1. cd into cuda_ut folder\n2. update variables 'CUDA_PATH' and 'CUDA_SAMPLES_PATH' in Makefile\n3. make (this may take 10 mins, make sure that nvcc used is \n\t\t version 5 and it is on the PATH.)\n4. cd modules\n5. make mexf=\"./deep_nn/mexcuConvNNoo.mex ./deep_nn/mexcuConvNNooFF.mex\"\n\n\n////////////////////////////////////////////////////////////////////\nLearning:\n////////////////////////////////////////////////////////////////////\n1. cd to matlab folder\n2. download train.csv and test.csv\n3. if using tcsh, setenv LD_PRELOAD /usr/lib/x86_64-linux-gnu/libstdc++.so.6\n\tand setenv LD_LIBRARY_PATH somewhere/face_exp/cuda_ut/lib\n\t(note that the path for libstdc++.so.6 may vary for different OS)\n4. start matlab\n5. run load_from_kaggle.m\n6. run script_face_exp.m\n\n////////////////////////////////////////////////////////////////////\nPrediction:\n////////////////////////////////////////////////////////////////////\n1. run fe_pred.m\n\n\n\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhamedmp%2Fdeep-learning-faces","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fhamedmp%2Fdeep-learning-faces","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhamedmp%2Fdeep-learning-faces/lists"}