{"id":13698525,"url":"https://github.com/calmiLovesAI/TensorFlow2.0_InceptionV3","last_synced_at":"2025-05-04T03:31:25.990Z","repository":{"id":61848324,"uuid":"202999908","full_name":"calmiLovesAI/TensorFlow2.0_InceptionV3","owner":"calmiLovesAI","description":"A TensorFlow_2.0 implementation of InceptionV3.","archived":false,"fork":false,"pushed_at":"2019-11-05T07:12:04.000Z","size":36,"stargazers_count":35,"open_issues_count":2,"forks_count":11,"subscribers_count":4,"default_branch":"master","last_synced_at":"2025-03-04T14:01:51.630Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/calmiLovesAI.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2019-08-18T12:24:42.000Z","updated_at":"2025-01-07T04:18:54.000Z","dependencies_parsed_at":"2022-10-22T09:00:41.896Z","dependency_job_id":null,"html_url":"https://github.com/calmiLovesAI/TensorFlow2.0_InceptionV3","commit_stats":null,"previous_names":["calmilovesai/tensorflow2.0_inceptionv3","calmisential/tensorflow2.0_inceptionv3"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/calmiLovesAI%2FTensorFlow2.0_InceptionV3","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/calmiLovesAI%2FTensorFlow2.0_InceptionV3/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/calmiLovesAI%2FTensorFlow2.0_InceptionV3/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/calmiLovesAI%2FTensorFlow2.0_InceptionV3/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/calmiLovesAI","download_url":"https://codeload.github.com/calmiLovesAI/TensorFlow2.0_InceptionV3/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":252283596,"owners_count":21723505,"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":"2024-08-02T19:00:48.568Z","updated_at":"2025-05-04T03:31:25.589Z","avatar_url":"https://github.com/calmiLovesAI.png","language":"Python","funding_links":[],"categories":["Model 💛💛💛💛💛\u003ca name=\"Model\" /\u003e"],"sub_categories":["Classification 分类"],"readme":"# TensorFlow2.0_InceptionV3\nA TensorFlow_2.0 implementation of InceptionV3.\n\nSee https://github.com/calmisential/Basic_CNNs_TensorFlow2.0 for more CNNs.\n\n## Train\n1. Requirements:\n+ Python \u003e= 3.6\n+ Tensorflow == 2.0.0-rc2\n2. To train the InceptionV3 on your own dataset, you can put the dataset under the folder **original dataset**, and the directory should look like this:\n```\n|——original dataset\n   |——class_name_0\n   |——class_name_1\n   |——class_name_2\n   |——class_name_3\n```\n3. Run the script **split_dataset.py** to split the raw dataset into train set, valid set and test set. The dataset directory will be like this:\n ```\n|——dataset\n   |——train\n        |——class_name_1\n        |——class_name_2\n        ......\n        |——class_name_n\n   |——valid\n        |——class_name_1\n        |——class_name_2\n        ......\n        |——class_name_n\n   |—-test\n        |——class_name_1\n        |——class_name_2\n        ......\n        |——class_name_n\n```\n4. Change the corresponding parameters in **config.py**.\n5. Run **train.py** to start training.\n## Evaluate\nRun **evaluate.py** to evaluate the model's performance on the test dataset.\n\n## The networks I have implemented with tensorflow2.0:\n+ [ResNet34, ResNet50, ResNet101, ResNet152](https://github.com/calmisential/TensorFlow2.0_ResNet)\n+ [InceptionV3](https://github.com/calmisential/TensorFlow2.0_InceptionV3)\n\n## References\n1. The original paper :https://arxiv.org/abs/1512.00567\n2. Google official implementation of InceptionV3 (TensorFlow 1.x): https://github.com/tensorflow/models/blob/master/research/slim/nets/inception_v3.py\n3. https://www.jianshu.com/p/3bbf0675cfce\n4. Official PyTorch implementation of InceptionV3 : https://github.com/pytorch/vision/blob/master/torchvision/models/inception.py\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FcalmiLovesAI%2FTensorFlow2.0_InceptionV3","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FcalmiLovesAI%2FTensorFlow2.0_InceptionV3","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FcalmiLovesAI%2FTensorFlow2.0_InceptionV3/lists"}