{"id":13499113,"url":"https://github.com/neuleaf/MobileNetV2","last_synced_at":"2025-03-29T04:30:30.422Z","repository":{"id":40505209,"uuid":"119354711","full_name":"neuleaf/MobileNetV2","owner":"neuleaf","description":"A Tensorflow implementation of MobileNet V2","archived":false,"fork":false,"pushed_at":"2019-05-07T02:59:13.000Z","size":40,"stargazers_count":150,"open_issues_count":3,"forks_count":72,"subscribers_count":11,"default_branch":"master","last_synced_at":"2024-08-01T22:50:07.416Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/neuleaf.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2018-01-29T08:33:31.000Z","updated_at":"2024-05-14T09:24:28.000Z","dependencies_parsed_at":"2022-09-20T10:14:44.544Z","dependency_job_id":null,"html_url":"https://github.com/neuleaf/MobileNetV2","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/neuleaf%2FMobileNetV2","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/neuleaf%2FMobileNetV2/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/neuleaf%2FMobileNetV2/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/neuleaf%2FMobileNetV2/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/neuleaf","download_url":"https://codeload.github.com/neuleaf/MobileNetV2/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":222455934,"owners_count":16987573,"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":"2024-07-31T22:00:29.069Z","updated_at":"2024-10-31T17:31:31.091Z","avatar_url":"https://github.com/neuleaf.png","language":"Python","funding_links":[],"categories":["Papers\u0026Codes","DLA"],"sub_categories":["MobileNetV2"],"readme":"# Note\n- update 2019.05.06\nTensorflow的API发生了很大变化，原来的代码已经不实用。而且TF官方models也开源了相关的代码。\n此项目不再更新，并且已删除了部分代码，只留下网络结构代码，有需要可供参考。\n\n# MobileNet V2 with Tensorflow\n论文链接 https://arxiv.org/abs/1801.04381\n## Task1 classification\n1. 制作tfrecord文件\n   \n   训练图片及类别标签组织为`train_data.txt`的形式，每一行表示一个样本及其标签，用空格或Tab隔开.\n   \n   run `python convert2tf.py [--options]` 生成tfrecord文件。\n   （同时会打印数据集样本的格式'num_samples', 训练时需要输入该参数）\n\n2. 训练\n   \n   run `python main.py --epoch 10 --dataset_dir ./tfrecords --n_classes 10 --batch_size 4 --num_samples 20000 [--options]`启动训练.\n   注意更改参数\n3. test/infer\n\n    测试时需要指定`--no_train`，如：\n   `python main.py --n_classe 10 --no_train`\n\n## Task2 detection\n\nTODO\n## Task3 segmentation\n\nTODO","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fneuleaf%2FMobileNetV2","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fneuleaf%2FMobileNetV2","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fneuleaf%2FMobileNetV2/lists"}