DeepLabV3Plus-Pytorch:DeepLabv3,DeepLabv3 +和VOC和Cityscapes上的预训练权重-源码

上传者: 42134038 | 上传时间: 2021-09-19 14:59:17 | 文件大小: 2.11MB | 文件类型: ZIP
DeepLabv3Plus-Pytorch DeepLabv3,DeepLabv3 +和VOC和Cityscapes上的预训练权重。 可用架构 使用“ --model ARCH_NAME”指定模型体系结构,并使用“ --output_stride OUTPUT_STRIDE”设置输出步幅。 DeepLabV3 DeepLabV3 + deeplabv3_resnet50 deeplabv3plus_resnet50 deeplabv3_resnet101 deeplabv3plus_resnet101 deeplabv3_mobilenet deeplabv3plus_mobilenet 可用型号: , 加载预训练的模型: model . load_state_dict ( torch . load ( CKPT_PATH )[ 'model_state' ] )

文件下载

资源详情

[{"title":"( 43 个子文件 2.11MB ) DeepLabV3Plus-Pytorch:DeepLabv3,DeepLabv3 +和VOC和Cityscapes上的预训练权重-源码","children":[{"title":"DeepLabV3Plus-Pytorch-master","children":[{"title":".gitignore <span style='color:#111;'> 94B </span>","children":null,"spread":false},{"title":"requirements.txt <span style='color:#111;'> 66B </span>","children":null,"spread":false},{"title":"datasets","children":[{"title":"cityscapes.py <span style='color:#111;'> 8.17KB </span>","children":null,"spread":false},{"title":"data","children":[{"title":"train_aug.txt <span style='color:#111;'> 124.01KB </span>","children":null,"spread":false},{"title":"cityscapes <span style='color:#111;'> 31B </span>","children":null,"spread":false}],"spread":true},{"title":"__init__.py <span style='color:#111;'> 67B </span>","children":null,"spread":false},{"title":"utils.py <span style='color:#111;'> 3.71KB </span>","children":null,"spread":false},{"title":"voc.py <span style='color:#111;'> 5.92KB </span>","children":null,"spread":false}],"spread":true},{"title":"samples","children":[{"title":"114_overlay.png <span style='color:#111;'> 132.17KB </span>","children":null,"spread":false},{"title":"1_overlay.png <span style='color:#111;'> 60.11KB </span>","children":null,"spread":false},{"title":"23_pred.png <span style='color:#111;'> 3.24KB </span>","children":null,"spread":false},{"title":"23_target.png <span style='color:#111;'> 3.85KB </span>","children":null,"spread":false},{"title":"city_1_target.png <span style='color:#111;'> 40.70KB </span>","children":null,"spread":false},{"title":"114_target.png <span style='color:#111;'> 4.51KB </span>","children":null,"spread":false},{"title":"1_target.png <span style='color:#111;'> 3.35KB </span>","children":null,"spread":false},{"title":"city_1_overlay.png <span style='color:#111;'> 162.91KB </span>","children":null,"spread":false},{"title":"city_6_overlay.png <span style='color:#111;'> 155.59KB </span>","children":null,"spread":false},{"title":"1_pred.png <span style='color:#111;'> 2.60KB </span>","children":null,"spread":false},{"title":"23_image.png <span style='color:#111;'> 443.62KB </span>","children":null,"spread":false},{"title":"23_overlay.png <span style='color:#111;'> 194.13KB </span>","children":null,"spread":false},{"title":"114_image.png <span style='color:#111;'> 314.78KB </span>","children":null,"spread":false},{"title":"city_6_target.png <span style='color:#111;'> 49.60KB </span>","children":null,"spread":false},{"title":"1_image.png <span style='color:#111;'> 135.46KB </span>","children":null,"spread":false},{"title":"visdom-screenshoot.png <span style='color:#111;'> 392.96KB </span>","children":null,"spread":false},{"title":"114_pred.png <span style='color:#111;'> 3.35KB </span>","children":null,"spread":false}],"spread":false},{"title":"LICENSE <span style='color:#111;'> 1.04KB </span>","children":null,"spread":false},{"title":"utils","children":[{"title":"ext_transforms.py <span style='color:#111;'> 20.33KB </span>","children":null,"spread":false},{"title":"scheduler.py <span style='color:#111;'> 509B </span>","children":null,"spread":false},{"title":"visualizer.py <span style='color:#111;'> 2.72KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 113B </span>","children":null,"spread":false},{"title":"utils.py <span style='color:#111;'> 1008B </span>","children":null,"spread":false},{"title":"loss.py <span style='color:#111;'> 721B </span>","children":null,"spread":false}],"spread":true},{"title":"network","children":[{"title":"backbone","children":[{"title":"__init__.py <span style='color:#111;'> 47B </span>","children":null,"spread":false},{"title":"mobilenetv2.py <span style='color:#111;'> 6.76KB </span>","children":null,"spread":false},{"title":"resnet.py <span style='color:#111;'> 13.26KB </span>","children":null,"spread":false}],"spread":true},{"title":"__init__.py <span style='color:#111;'> 71B </span>","children":null,"spread":false},{"title":"modeling.py <span style='color:#111;'> 5.49KB </span>","children":null,"spread":false},{"title":"utils.py <span style='color:#111;'> 2.92KB </span>","children":null,"spread":false},{"title":"_deeplab.py <span style='color:#111;'> 6.55KB </span>","children":null,"spread":false}],"spread":true},{"title":"README.md <span style='color:#111;'> 8.59KB </span>","children":null,"spread":false},{"title":"main.py <span style='color:#111;'> 16.55KB </span>","children":null,"spread":false},{"title":"metrics","children":[{"title":"stream_metrics.py <span style='color:#111;'> 3.27KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 60B </span>","children":null,"spread":false}],"spread":true}],"spread":true}],"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