{"id":21269145,"url":"https://github.com/yanx27/yolo_tensorflow","last_synced_at":"2026-05-15T21:02:57.400Z","repository":{"id":109499227,"uuid":"146963824","full_name":"yanx27/YOLO_tensorflow","owner":"yanx27","description":"This is YOLO detective algorithm based on Tensorflow","archived":false,"fork":false,"pushed_at":"2018-09-23T09:55:32.000Z","size":58,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-09-21T00:54:52.831Z","etag":null,"topics":["tensorflow","yolo"],"latest_commit_sha":null,"homepage":"","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/yanx27.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,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2018-09-01T03:24:59.000Z","updated_at":"2018-12-17T03:47:33.000Z","dependencies_parsed_at":null,"dependency_job_id":"f02894d2-0e00-41ea-8c2f-d173492880c3","html_url":"https://github.com/yanx27/YOLO_tensorflow","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/yanx27/YOLO_tensorflow","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/yanx27%2FYOLO_tensorflow","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/yanx27%2FYOLO_tensorflow/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/yanx27%2FYOLO_tensorflow/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/yanx27%2FYOLO_tensorflow/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/yanx27","download_url":"https://codeload.github.com/yanx27/YOLO_tensorflow/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/yanx27%2FYOLO_tensorflow/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":276179894,"owners_count":25598571,"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","status":"online","status_checked_at":"2025-09-20T02:00:10.207Z","response_time":63,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"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":["tensorflow","yolo"],"created_at":"2024-11-21T08:07:28.819Z","updated_at":"2025-09-21T00:54:54.143Z","avatar_url":"https://github.com/yanx27.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"## YOLO-Tensorflow\n\n* 代码基于 [You Only Look Once: Unified, Real-Time Object Detection](https://arxiv.org/pdf/1506.02640.pdf)，包含训练和测试部分，可以识别的物体有：\n```\n'aeroplane', 'bicycle', 'bird', 'boat', 'bottle', 'bus', 'car', 'cat', 'chair', 'cow', 'diningtable', \n'dog', 'horse', 'motorbike', 'person', 'pottedplant', 'sheep', 'sofa', 'train', 'tvmonitor'\n```\n\n* 下载训练数据以及模型参数：\n\n\n    在下载的源码文件夹中新建文件夹data，并在data中分别新建文件夹pascal_VOC、weights\n\n* 在 weights 放入模型参数：\n\n    链接：https://pan.baidu.com/s/1qcv6OagovmgH33wg9ddlVw 密码：pv43\n\n\n* 在pascal_voc放入训练数据集：\n\n    链接：https://pan.baidu.com/s/1StO2SnZRa18idGMPnnGDtQ 密码：15tl\n\n\n* 可以在yolo文件夹中的config.py文件里调整模型训练参数\n\n\u003e 训练时若出现错误\n\n```\nResourceExhaustedError (see above for traceback): OOM when allocating tensor with shape[48,28,28,1024]\n\t [[Node: yolo/conv_20/Conv2D = Conv2D[T=DT_FLOAT, data_format=\"NHWC\", padding=\"SAME\", strides=[1, 1, 1, 1], use_cudnn_on_gpu=true, _device=\"/job:localhost/replica:0/task:0/device:GPU:0\"](yolo/conv_19/leaky_relu/Maximum, yolo/conv_20/weights/read/_201)]]\n\t [[Node: gradients/AddN_12/_323 = _Recv[client_terminated=false, recv_device=\"/job:localhost/replica:0/task:0/device:CPU:0\", send_device=\"/job:localhost/replica:0/task:0/device:GPU:0\", send_device_incarnation=1, tensor_name=\"edge_3737_gradients/AddN_12\", tensor_type=DT_FLOAT, _device=\"/job:localhost/replica:0/task:0/device:CPU:0\"]()]]\n```\n\u003e 则需要调小minibatch的大小\n\n\n* 训练\n\t```Shell\n\t$ python train.py\n\t```\n\n* 测试\n\t```Shell\n\t$ python test.py\n\t```\n\n### 所用的库版本\n1. Tensorflow 1.4\n\n2. OpenCV 3.0\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fyanx27%2Fyolo_tensorflow","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fyanx27%2Fyolo_tensorflow","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fyanx27%2Fyolo_tensorflow/lists"}