{"id":20355531,"url":"https://github.com/honlan/happydogyear","last_synced_at":"2025-06-14T21:33:55.159Z","repository":{"id":201303616,"uuid":"120891075","full_name":"Honlan/HappyDogYear","owner":"Honlan","description":null,"archived":false,"fork":false,"pushed_at":"2018-02-15T16:32:21.000Z","size":82391,"stargazers_count":3,"open_issues_count":0,"forks_count":1,"subscribers_count":3,"default_branch":"master","last_synced_at":"2025-03-04T17:38:40.448Z","etag":null,"topics":["dogs","image-classification"],"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/Honlan.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,"governance":null}},"created_at":"2018-02-09T10:18:09.000Z","updated_at":"2019-08-07T12:45:06.000Z","dependencies_parsed_at":null,"dependency_job_id":"6d3c1c63-19e0-45e9-a77c-19611956c4ec","html_url":"https://github.com/Honlan/HappyDogYear","commit_stats":null,"previous_names":["honlan/happydogyear"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Honlan/HappyDogYear","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Honlan%2FHappyDogYear","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Honlan%2FHappyDogYear/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Honlan%2FHappyDogYear/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Honlan%2FHappyDogYear/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Honlan","download_url":"https://codeload.github.com/Honlan/HappyDogYear/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Honlan%2FHappyDogYear/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":259887582,"owners_count":22926959,"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":["dogs","image-classification"],"created_at":"2024-11-14T23:13:09.657Z","updated_at":"2025-06-14T21:33:55.135Z","avatar_url":"https://github.com/Honlan.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# HappyDogYear\n\n使用`Inception V3`进行狗狗图片分类，祝大家狗年大吉！\n\n## 数据集\n\n数据集来自`Stanford Dog Dataset`\n\n[http://vision.stanford.edu/aditya86/ImageNetDogs/images.tar](http://vision.stanford.edu/aditya86/ImageNetDogs/images.tar)\n\n共包括120种狗狗的20580张图片，下载后解压得到`Images`文件夹，其中包括120个子文件夹，每个子文件夹对应一种狗狗\n\n## 模型训练\n\n使用`Inception V3`和狗狗数据进行迁移训练，得到能够识别狗狗类别的图片分类模型\n\n迁移训练的代码来自`TensorFlow`官方Github\n\n[https://github.com/tensorflow/tensorflow/blob/master/tensorflow/examples/image_retraining/retrain.py](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/examples/image_retraining/retrain.py)\n\n使用以下命令即可进行训练，当然也可以直接使用我训练好的模型\n\n```\npython retrain.py --image_dir Images/ --output_graph dog_inception_v3_graph.pb --output_labels dog_inception_v3_labels.txt --summaries_dir summaries_dir --model_dir . --bottleneck_dir bottleneck_dir\n```\n\n## 模型使用\n\n迁移训练得到两个文件\n\n- `dog_inception_v3_graph.pb`：狗狗图片分类模型\n- `dog_inception_v3_labels.txt`：全部的狗狗类别\n\n使用`classify_single_dog.py`即可进行单张图片的分类，其中最后一行的`test.jpg`即为待分类图片的路径，这里提供了一张京巴犬的图片\n\n## 其他文件\n\n- `classify_all_dogs.py`：将`Images`文件夹中的20580张图片全部分类，并将正确标签以及概率前五的分类结果和对应概率写入`results.txt`，便于后续统计\n- `results.txt`：即上面提到的分类结果文件\n- `stats.py`：根据`results.txt`进行一些简单的统计，包括每种狗狗的分类正确率、不同狗狗之间的关联和对比等\n- `sample.py`：从每类狗狗中随机抽取一张，共120张图片并生成一张拼图","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhonlan%2Fhappydogyear","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fhonlan%2Fhappydogyear","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhonlan%2Fhappydogyear/lists"}