基于tensorflow的SSD+SORT多目标跟踪源码

上传者: ycc2011 | 上传时间: 2019-12-21 22:10:03 | 文件大小: 187.77MB | 文件类型: rar
来源https://blog.csdn.net/ycc2011/article/details/85094651 根据上面两个代码,自己修改了对应的检测和关联数据接口; !!!使用视频流作为数据输入,并输出对应的每帧图像到对应目录,同时显示追踪过程到屏幕上。具体可参考对应源码。 从文件夹中的notebook进入,修改对应视频数据流源地址和对应追踪关联后的输出数据。 我需要一些csdn下载积分供自己以后用,所以设置了分值。。。

文件下载

资源详情

[{"title":"( 73 个子文件 187.77MB ) 基于tensorflow的SSD+SORT多目标跟踪源码","children":[{"title":"SSD+sort tensorflow_version","children":[{"title":"inspect_checkpoint.py <span style='color:#111;'> 4.86KB </span>","children":null,"spread":false},{"title":"train_ssd_network.py <span style='color:#111;'> 17.85KB </span>","children":null,"spread":false},{"title":"caffe_to_tensorflow.py <span style='color:#111;'> 2.17KB </span>","children":null,"spread":false},{"title":"tf_convert_data.py <span style='color:#111;'> 1.94KB </span>","children":null,"spread":false},{"title":"nets","children":[{"title":"__pycache__","children":[{"title":"ssd_vgg_300.cpython-36.pyc <span style='color:#111;'> 17.82KB </span>","children":null,"spread":false},{"title":"ssd_common.cpython-36.pyc <span style='color:#111;'> 10.93KB </span>","children":null,"spread":false},{"title":"__init__.cpython-36.pyc <span style='color:#111;'> 102B </span>","children":null,"spread":false},{"title":"custom_layers.cpython-36.pyc <span style='color:#111;'> 4.52KB </span>","children":null,"spread":false},{"title":"np_methods.cpython-36.pyc <span style='color:#111;'> 5.59KB </span>","children":null,"spread":false}],"spread":true},{"title":"inception.py <span style='color:#111;'> 1.47KB </span>","children":null,"spread":false},{"title":"ssd_vgg_512.py <span style='color:#111;'> 24.83KB </span>","children":null,"spread":false},{"title":"inception_v3.py <span style='color:#111;'> 27.40KB </span>","children":null,"spread":false},{"title":"ssd_common.py <span style='color:#111;'> 17.22KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 1B </span>","children":null,"spread":false},{"title":"xception.py <span style='color:#111;'> 11.85KB </span>","children":null,"spread":false},{"title":"inception_resnet_v2.py <span style='color:#111;'> 12.42KB </span>","children":null,"spread":false},{"title":"np_methods.py <span style='color:#111;'> 9.22KB </span>","children":null,"spread":false},{"title":"custom_layers.py <span style='color:#111;'> 6.26KB </span>","children":null,"spread":false},{"title":"ssd_vgg_300.py <span style='color:#111;'> 31.11KB </span>","children":null,"spread":false},{"title":"vgg.py <span style='color:#111;'> 10.36KB </span>","children":null,"spread":false},{"title":"nets_factory.py <span style='color:#111;'> 3.19KB </span>","children":null,"spread":false},{"title":"caffe_scope.py <span style='color:#111;'> 3.49KB </span>","children":null,"spread":false}],"spread":false},{"title":"preprocessing","children":[{"title":"__pycache__","children":[{"title":"tf_image.cpython-36.pyc <span style='color:#111;'> 9.16KB </span>","children":null,"spread":false},{"title":"__init__.cpython-36.pyc <span style='color:#111;'> 111B </span>","children":null,"spread":false},{"title":"ssd_vgg_preprocessing.cpython-36.pyc <span style='color:#111;'> 11.12KB </span>","children":null,"spread":false}],"spread":true},{"title":"ssd_vgg_preprocessing.py <span style='color:#111;'> 16.85KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 1B </span>","children":null,"spread":false},{"title":"preprocessing_factory.py <span style='color:#111;'> 2.15KB </span>","children":null,"spread":false},{"title":"vgg_preprocessing.py <span style='color:#111;'> 13.54KB </span>","children":null,"spread":false},{"title":"inception_preprocessing.py <span style='color:#111;'> 13.96KB </span>","children":null,"spread":false},{"title":"tf_image.py <span style='color:#111;'> 12.40KB </span>","children":null,"spread":false}],"spread":true},{"title":"tf_extended","children":[{"title":"metrics.py <span style='color:#111;'> 17.27KB </span>","children":null,"spread":false},{"title":"__pycache__","children":[{"title":"image.cpython-36.pyc <span style='color:#111;'> 106B </span>","children":null,"spread":false},{"title":"tensors.cpython-36.pyc <span style='color:#111;'> 2.56KB </span>","children":null,"spread":false},{"title":"metrics.cpython-36.pyc <span style='color:#111;'> 8.92KB </span>","children":null,"spread":false},{"title":"__init__.cpython-36.pyc <span style='color:#111;'> 313B </span>","children":null,"spread":false},{"title":"math.cpython-36.pyc <span style='color:#111;'> 1.95KB </span>","children":null,"spread":false},{"title":"bboxes.cpython-36.pyc <span style='color:#111;'> 14.12KB </span>","children":null,"spread":false}],"spread":true},{"title":"bboxes.py <span style='color:#111;'> 21.15KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 966B </span>","children":null,"spread":false},{"title":"tensors.py <span style='color:#111;'> 3.60KB </span>","children":null,"spread":false},{"title":"math.py <span style='color:#111;'> 2.59KB </span>","children":null,"spread":false},{"title":"image.py <span style='color:#111;'> 0B </span>","children":null,"spread":false}],"spread":true},{"title":"tf_utils.py <span style='color:#111;'> 9.65KB </span>","children":null,"spread":false},{"title":"checkpoints","children":[{"title":"ssd_300_vgg.ckpt.data-00000-of-00001 <span style='color:#111;'> 100.27MB </span>","children":null,"spread":false},{"title":"ssd_300_vgg.ckpt.index <span style='color:#111;'> 3.14KB </span>","children":null,"spread":false},{"title":"ssd_300_vgg.ckpt.zip <span style='color:#111;'> 93.19MB </span>","children":null,"spread":false}],"spread":true},{"title":"COMMANDS.md <span style='color:#111;'> 11.74KB </span>","children":null,"spread":false},{"title":"eval_ssd_network.py <span style='color:#111;'> 15.63KB </span>","children":null,"spread":false},{"title":".gitignore <span style='color:#111;'> 444B </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 9.08KB </span>","children":null,"spread":false},{"title":"notebooks","children":[{"title":"sort.py <span style='color:#111;'> 7.38KB </span>","children":null,"spread":false},{"title":"__pycache__","children":[{"title":"visualization_camera.cpython-36.pyc <span style='color:#111;'> 4.05KB </span>","children":null,"spread":false},{"title":"visualization.cpython-36.pyc <span style='color:#111;'> 3.85KB </span>","children":null,"spread":false},{"title":"sort.cpython-36.pyc <span style='color:#111;'> 7.60KB </span>","children":null,"spread":false}],"spread":false},{"title":"视频检测版备份","children":[{"title":"ssd_notebook_camera.py <span style='color:#111;'> 5.97KB </span>","children":null,"spread":false},{"title":"visualization_camera.py <span style='color:#111;'> 5.32KB </span>","children":null,"spread":false}],"spread":false},{"title":"visualization_video.py <span style='color:#111;'> 4.65KB </span>","children":null,"spread":false},{"title":"ssd_notebook_video.py <span style='color:#111;'> 5.41KB </span>","children":null,"spread":false},{"title":".ipynb_checkpoints","children":[{"title":"ssd_notebook-checkpoint.ipynb <span style='color:#111;'> 602.21KB </span>","children":null,"spread":false}],"spread":false}],"spread":true},{"title":"datasets","children":[{"title":"dataset_utils.py <span style='color:#111;'> 4.59KB </span>","children":null,"spread":false},{"title":"pascalvoc_2012.py <span style='color:#111;'> 2.80KB </span>","children":null,"spread":false},{"title":"dataset_factory.py <span style='color:#111;'> 2.06KB </span>","children":null,"spread":false},{"title":"pascalvoc_common.py <span style='color:#111;'> 4.64KB </span>","children":null,"spread":false},{"title":"__pycache__","children":[{"title":"pascalvoc_2007.cpython-36.pyc <span style='color:#111;'> 2.51KB </span>","children":null,"spread":false},{"title":"__init__.cpython-36.pyc <span style='color:#111;'> 106B </span>","children":null,"spread":false},{"title":"pascalvoc_common.cpython-36.pyc <span style='color:#111;'> 3.03KB </span>","children":null,"spread":false},{"title":"dataset_utils.cpython-36.pyc <span style='color:#111;'> 4.12KB </span>","children":null,"spread":false}],"spread":false},{"title":"__init__.py <span style='color:#111;'> 1B </span>","children":null,"spread":false},{"title":"pascalvoc_to_tfrecords.py <span style='color:#111;'> 8.46KB </span>","children":null,"spread":false},{"title":"imagenet.py <span style='color:#111;'> 7.31KB </span>","children":null,"spread":false},{"title":"cifar10.py <span style='color:#111;'> 3.14KB </span>","children":null,"spread":false},{"title":"pascalvoc_2007.py <span style='color:#111;'> 3.32KB </span>","children":null,"spread":false}],"spread":false}],"spread":false}],"spread":true}]

评论信息

免责申明

【只为小站】的资源来自网友分享,仅供学习研究,请务必在下载后24小时内给予删除,不得用于其他任何用途,否则后果自负。基于互联网的特殊性,【只为小站】 无法对用户传输的作品、信息、内容的权属或合法性、合规性、真实性、科学性、完整权、有效性等进行实质审查;无论 【只为小站】 经营者是否已进行审查,用户均应自行承担因其传输的作品、信息、内容而可能或已经产生的侵权或权属纠纷等法律责任。
本站所有资源不代表本站的观点或立场,基于网友分享,根据中国法律《信息网络传播权保护条例》第二十二条之规定,若资源存在侵权或相关问题请联系本站客服人员,zhiweidada#qq.com,请把#换成@,本站将给予最大的支持与配合,做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明