Gcam:Gcam是一个易于使用的Pytorch库,可以使模型预测更易于理解。 它允许使用多种方法生成注意力图,例如,引导反向传播,Grad-Cam,Guide Grad-Cam和Grad-Cam ++

上传者: 42131728 | 上传时间: 2023-02-17 20:57:33 | 文件大小: 64.49MB | 文件类型: ZIP
Gcam(Grad-Cam) 此仓库的新版本位于 Gcam是一个易于使用的Pytorch库,它可以使模型预测更易于理解。 它允许使用多种方法(例如,反向引导传播,Grad-Cam,Guide Grad-Cam和Grad-Cam ++)生成注意力图。 您需要添加到项目中的只是一行代码: model = gcam . inject ( model , output_dir = "attention_maps" , save_maps = True ) 产品特点 适用于分类和细分数据/模型 处理2D和3D数据 支持引导反向传播,Grad-Cam,引导Grad-Cam和Grad-Cam ++ 给定地面真理面具的注意力图评估 自动图层选择选项 安装 从安装Pytorch 通过pip安装Gcam,方法如下: pip install gcam 文献资料 Gcam已提供完整文档,您可以在以下位置查看文档: 例子 #1分类(2D) #2细分(2D) #3细分(3D) 图片 引导反向传播 Grad-Cam 导引式Grad-Cam Grad-Cam ++ 用法 # Import g

文件下载

资源详情

[{"title":"( 103 个子文件 64.49MB ) Gcam:Gcam是一个易于使用的Pytorch库,可以使模型预测更易于理解。 它允许使用多种方法生成注意力图,例如,引导反向传播,Grad-Cam,Guide Grad-Cam和Grad-Cam ++","children":[{"title":"Gcam_nnUNet_demo.ipynb <span style='color:#111;'> 124.75KB </span>","children":null,"spread":false},{"title":"Gcam_classification_demo.ipynb <span style='color:#111;'> 8.03KB </span>","children":null,"spread":false},{"title":".gitattributes <span style='color:#111;'> 42B </span>","children":null,"spread":false},{"title":"python-publish.yml <span style='color:#111;'> 927B </span>","children":null,"spread":false},{"title":"python-package.yml <span style='color:#111;'> 1.35KB </span>","children":null,"spread":false},{"title":"gcam_inject.py <span style='color:#111;'> 15.36KB </span>","children":null,"spread":false},{"title":"base.py <span style='color:#111;'> 5.24KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"guided_grad_cam.py <span style='color:#111;'> 3.71KB </span>","children":null,"spread":false},{"title":"grad_cam_pp.py <span style='color:#111;'> 2.47KB </span>","children":null,"spread":false},{"title":"guided_backpropagation.py <span style='color:#111;'> 2.38KB </span>","children":null,"spread":false},{"title":"grad_cam.py <span style='color:#111;'> 8.45KB </span>","children":null,"spread":false},{"title":"gcam.py <span style='color:#111;'> 921B </span>","children":null,"spread":false},{"title":"evaluator.py <span style='color:#111;'> 5.98KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"evaluation_utils.py <span style='color:#111;'> 3.42KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"gcam_utils.py <span style='color:#111;'> 7.16KB </span>","children":null,"spread":false},{"title":"requirements.txt <span style='color:#111;'> 248B </span>","children":null,"spread":false},{"title":"class_2D_gcam.jpg <span style='color:#111;'> 34.04KB </span>","children":null,"spread":false},{"title":"seg_2D_ggcam.jpg <span style='color:#111;'> 10.49KB </span>","children":null,"spread":false},{"title":"seg_2D_gcam.jpg <span style='color:#111;'> 26.57KB </span>","children":null,"spread":false},{"title":"seg_2D_image.jpg <span style='color:#111;'> 34.39KB </span>","children":null,"spread":false},{"title":"class_2D_gbp.jpg <span style='color:#111;'> 11.05KB </span>","children":null,"spread":false},{"title":"seg_3D_image.jpg <span style='color:#111;'> 45.78KB </span>","children":null,"spread":false},{"title":"class_2D_image.jpg <span style='color:#111;'> 48.45KB </span>","children":null,"spread":false},{"title":"class_2D_ggcam.jpg <span style='color:#111;'> 10.16KB </span>","children":null,"spread":false},{"title":"seg_2D_gcampp.jpg <span style='color:#111;'> 26.57KB </span>","children":null,"spread":false},{"title":"seg_3D_gcampp.jpg <span style='color:#111;'> 20.13KB </span>","children":null,"spread":false},{"title":"seg_3D_ggcam.jpg <span style='color:#111;'> 20.70KB </span>","children":null,"spread":false},{"title":"class_2D_gcampp.jpg <span style='color:#111;'> 33.80KB </span>","children":null,"spread":false},{"title":"seg_3D_gbp.jpg <span style='color:#111;'> 11.58KB </span>","children":null,"spread":false},{"title":"todo.jpg <span style='color:#111;'> 11.66KB </span>","children":null,"spread":false},{"title":"seg_2D_gbp.jpg <span style='color:#111;'> 10.99KB </span>","children":null,"spread":false},{"title":"seg_3D_gcam.jpg <span style='color:#111;'> 17.27KB </span>","children":null,"spread":false},{"title":"LICENSE <span style='color:#111;'> 1.07KB </span>","children":null,"spread":false},{"title":"setup.py <span style='color:#111;'> 1.41KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 4.08KB </span>","children":null,"spread":false},{"title":"index.html <span style='color:#111;'> 190B </span>","children":null,"spread":false},{"title":"index.html <span style='color:#111;'> 6.58KB </span>","children":null,"spread":false},{"title":"index.html <span style='color:#111;'> 6.96KB </span>","children":null,"spread":false},{"title":"guided_backpropagation.html <span style='color:#111;'> 12.97KB </span>","children":null,"spread":false},{"title":"grad_cam.html <span style='color:#111;'> 27.82KB </span>","children":null,"spread":false},{"title":"base.html <span style='color:#111;'> 12.21KB </span>","children":null,"spread":false},{"title":"grad_cam_pp.html <span style='color:#111;'> 11.36KB </span>","children":null,"spread":false},{"title":"guided_grad_cam.html <span style='color:#111;'> 14.25KB </span>","children":null,"spread":false},{"title":"gcam_inject.html <span style='color:#111;'> 47.54KB </span>","children":null,"spread":false},{"title":"index.html <span style='color:#111;'> 6.15KB </span>","children":null,"spread":false},{"title":"evaluation_utils.html <span style='color:#111;'> 11.10KB </span>","children":null,"spread":false},{"title":"evaluator.html <span style='color:#111;'> 23.80KB </span>","children":null,"spread":false},{"title":"gcam_utils.html <span style='color:#111;'> 22.00KB </span>","children":null,"spread":false},{"title":"gcam.html <span style='color:#111;'> 6.46KB </span>","children":null,"spread":false},{"title":"unet_seg_dataset.py <span style='color:#111;'> 764B </span>","children":null,"spread":false},{"title":"train.py <span style='color:#111;'> 7.23KB </span>","children":null,"spread":false},{"title":"dataset.py <span style='color:#111;'> 1.96KB </span>","children":null,"spread":false},{"title":"data_vis.py <span style='color:#111;'> 508B </span>","children":null,"spread":false},{"title":"dice_loss.py <span style='color:#111;'> 1.20KB </span>","children":null,"spread":false},{"title":"CHECKPOINT.pth0 <span style='color:#111;'> 51.15MB </span>","children":null,"spread":false},{"title":"requirements.txt <span style='color:#111;'> 53B </span>","children":null,"spread":false},{"title":"predict.py <span style='color:#111;'> 4.33KB </span>","children":null,"spread":false},{"title":"LICENSE <span style='color:#111;'> 34.32KB </span>","children":null,"spread":false},{"title":"eval.py <span style='color:#111;'> 1.06KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 4.06KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 29B </span>","children":null,"spread":false},{"title":"unet_parts.py <span style='color:#111;'> 2.39KB </span>","children":null,"spread":false},{"title":"unet_model.py <span style='color:#111;'> 1.19KB </span>","children":null,"spread":false},{"title":".gitignore <span style='color:#111;'> 78B </span>","children":null,"spread":false},{"title":"submit.py <span style='color:#111;'> 1.33KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"unet_seg_test.py <span style='color:#111;'> 5.03KB </span>","children":null,"spread":false},{"title":"0cdf5b5d0ce1_03.jpg <span style='color:#111;'> 169.61KB </span>","children":null,"spread":false},{"title":"0cdf5b5d0ce1_04.jpg <span style='color:#111;'> 150.30KB </span>","children":null,"spread":false},{"title":"0cdf5b5d0ce1_02.jpg <span style='color:#111;'> 161.84KB </span>","children":null,"spread":false},{"title":"0cdf5b5d0ce1_01.jpg <span style='color:#111;'> 150.30KB </span>","children":null,"spread":false},{"title":"0cdf5b5d0ce1_04.gif <span style='color:#111;'> 5.07KB </span>","children":null,"spread":false},{"title":"0cdf5b5d0ce1_03_mask.gif <span style='color:#111;'> 5.16KB </span>","children":null,"spread":false},{"title":"0cdf5b5d0ce1_01_mask.gif <span style='color:#111;'> 5.07KB </span>","children":null,"spread":false},{"title":"0cdf5b5d0ce1_02_mask.gif <span style='color:#111;'> 5.01KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"resnet_test.py <span style='color:#111;'> 4.82KB </span>","children":null,"spread":false},{"title":"dog.1.jpg <span style='color:#111;'> 24.45KB </span>","children":null,"spread":false},{"title":"dog.7.jpg <span style='color:#111;'> 13.66KB </span>","children":null,"spread":false},{"title":"dog.8.jpg <span style='color:#111;'> 46.67KB </span>","children":null,"spread":false},{"title":"dog.4.jpg <span style='color:#111;'> 12.69KB </span>","children":null,"spread":false},{"title":"dog.6.jpg <span style='color:#111;'> 30.79KB </span>","children":null,"spread":false},{"title":"dog.0.jpg <span style='color:#111;'> 31.30KB </span>","children":null,"spread":false},{"title":"dog.3.jpg <span style='color:#111;'> 27.79KB </span>","children":null,"spread":false},{"title":"dog.5.jpg <span style='color:#111;'> 37.02KB </span>","children":null,"spread":false},{"title":"dog.2.jpg <span style='color:#111;'> 8.29KB </span>","children":null,"spread":false},{"title":"cat.6.jpg <span style='color:#111;'> 20.91KB </span>","children":null,"spread":false},{"title":"cat.7.jpg <span style='color:#111;'> 36.07KB </span>","children":null,"spread":false},{"title":"cat.1.jpg <span style='color:#111;'> 16.48KB </span>","children":null,"spread":false},{"title":"cat.4.jpg <span style='color:#111;'> 20.14KB </span>","children":null,"spread":false},{"title":"cat.3.jpg <span style='color:#111;'> 37.08KB </span>","children":null,"spread":false},{"title":"cat.2.jpg <span style='color:#111;'> 24.11KB </span>","children":null,"spread":false},{"title":"cat.5.jpg <span style='color:#111;'> 5.26KB </span>","children":null,"spread":false},{"title":"cat.0.jpg <span style='color:#111;'> 12.12KB </span>","children":null,"spread":false},{"title":"cat.8.jpg <span style='color:#111;'> 22.54KB </span>","children":null,"spread":false},{"title":"Grad-CAM.pdf <span style='color:#111;'> 8.26MB </span>","children":null,"spread":false},{"title":"......","children":null,"spread":false},{"title":"<span style='color:steelblue;'>文件过多,未全部展示</span>","children":null,"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