PyTorchVideoCompression:PyTorch实施和视频压缩基准
PyTorch视频压缩
PyTorch实施和视频压缩基准
更新
2020.08.02：HEVC，UVG，MCL-JCV，VTL数据集的上载基准。
2020.08.01：上载PyTorch实施
基准
HEVC A类数据集
HEVC B类数据集
HEVC C类数据集
HEVC D类数据集
HEVC E类数据集
UVG数据集
MCL-JCV数据集
VTL数据集
接触
如果您想添加论文结果或有任何疑问，请提出问题或联系：
Zhihao Hu: huzhihao@buaa.edu.cn
文件下载
资源详情
[{"title":"（ 131 个子文件 10.74MB ） PyTorchVideoCompression:PyTorch实施和视频压缩基准","children":[{"title":".gitignore <span style='color:#111;'> 232B </span>","children":null,"spread":false},{"title":"config.json <span style='color:#111;'> 177B </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 4.56KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 2.16KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 964B </span>","children":null,"spread":false},{"title":"modelL5_F-3-weight.npy <span style='color:#111;'> 392.13KB </span>","children":null,"spread":false},{"title":"modelL1_F-2-weight.npy <span style='color:#111;'> 392.13KB </span>","children":null,"spread":false},{"title":"modelL4_F-2-weight.npy <span style='color:#111;'> 392.13KB </span>","children":null,"spread":false},{"title":"modelL2_F-2-weight.npy <span style='color:#111;'> 392.13KB </span>","children":null,"spread":false},{"title":"modelL6_F-3-weight.npy <span style='color:#111;'> 392.13KB </span>","children":null,"spread":false},{"title":"modelL2_F-3-weight.npy <span style='color:#111;'> 392.13KB </span>","children":null,"spread":false},{"title":"modelL4_F-3-weight.npy <span style='color:#111;'> 392.13KB </span>","children":null,"spread":false},{"title":"modelL1_F-3-weight.npy <span style='color:#111;'> 392.13KB </span>","children":null,"spread":false},{"title":"modelL3_F-2-weight.npy <span style='color:#111;'> 392.13KB </span>","children":null,"spread":false},{"title":"modelL3_F-3-weight.npy <span style='color:#111;'> 392.13KB </span>","children":null,"spread":false},{"title":"modelL5_F-2-weight.npy <span style='color:#111;'> 392.13KB </span>","children":null,"spread":false},{"title":"modelL6_F-2-weight.npy <span style='color:#111;'> 392.13KB </span>","children":null,"spread":false},{"title":"modelL4_F-4-weight.npy <span style='color:#111;'> 98.13KB </span>","children":null,"spread":false},{"title":"modelL5_F-4-weight.npy <span style='color:#111;'> 98.13KB </span>","children":null,"spread":false},{"title":"modelL2_F-4-weight.npy <span style='color:#111;'> 98.13KB </span>","children":null,"spread":false},{"title":"modelL3_F-4-weight.npy <span style='color:#111;'> 98.13KB </span>","children":null,"spread":false},{"title":"modelL1_F-4-weight.npy <span style='color:#111;'> 98.13KB </span>","children":null,"spread":false},{"title":"modelL6_F-4-weight.npy <span style='color:#111;'> 98.13KB </span>","children":null,"spread":false},{"title":"modelL1_F-1-weight.npy <span style='color:#111;'> 49.13KB </span>","children":null,"spread":false},{"title":"modelL2_F-1-weight.npy <span style='color:#111;'> 49.13KB </span>","children":null,"spread":false},{"title":"modelL4_F-1-weight.npy <span style='color:#111;'> 49.13KB </span>","children":null,"spread":false},{"title":"modelL5_F-1-weight.npy <span style='color:#111;'> 49.13KB </span>","children":null,"spread":false},{"title":"modelL6_F-1-weight.npy <span style='color:#111;'> 49.13KB </span>","children":null,"spread":false},{"title":"modelL3_F-1-weight.npy <span style='color:#111;'> 49.13KB </span>","children":null,"spread":false},{"title":"modelL2_F-5-weight.npy <span style='color:#111;'> 6.25KB </span>","children":null,"spread":false},{"title":"modelL6_F-5-weight.npy <span style='color:#111;'> 6.25KB </span>","children":null,"spread":false},{"title":"modelL1_F-5-weight.npy <span style='color:#111;'> 6.25KB </span>","children":null,"spread":false},{"title":"modelL4_F-5-weight.npy <span style='color:#111;'> 6.25KB </span>","children":null,"spread":false},{"title":"modelL3_F-5-weight.npy <span style='color:#111;'> 6.25KB </span>","children":null,"spread":false},{"title":"modelL5_F-5-weight.npy <span style='color:#111;'> 6.25KB </span>","children":null,"spread":false},{"title":"modelL6_F-2-bias.npy <span style='color:#111;'> 384B </span>","children":null,"spread":false},{"title":"modelL2_F-2-bias.npy <span style='color:#111;'> 384B </span>","children":null,"spread":false},{"title":"modelL1_F-2-bias.npy <span style='color:#111;'> 384B </span>","children":null,"spread":false},{"title":"modelL3_F-2-bias.npy <span style='color:#111;'> 384B </span>","children":null,"spread":false},{"title":"modelL4_F-2-bias.npy <span style='color:#111;'> 384B </span>","children":null,"spread":false},{"title":"modelL5_F-2-bias.npy <span style='color:#111;'> 384B </span>","children":null,"spread":false},{"title":"modelL3_F-1-bias.npy <span style='color:#111;'> 256B </span>","children":null,"spread":false},{"title":"modelL4_F-1-bias.npy <span style='color:#111;'> 256B </span>","children":null,"spread":false},{"title":"modelL6_F-1-bias.npy <span style='color:#111;'> 256B </span>","children":null,"spread":false},{"title":"modelL1_F-1-bias.npy <span style='color:#111;'> 256B </span>","children":null,"spread":false},{"title":"modelL3_F-3-bias.npy <span style='color:#111;'> 256B </span>","children":null,"spread":false},{"title":"modelL2_F-1-bias.npy <span style='color:#111;'> 256B </span>","children":null,"spread":false},{"title":"modelL6_F-3-bias.npy <span style='color:#111;'> 256B </span>","children":null,"spread":false},{"title":"modelL1_F-3-bias.npy <span style='color:#111;'> 256B </span>","children":null,"spread":false},{"title":"modelL2_F-3-bias.npy <span style='color:#111;'> 256B </span>","children":null,"spread":false},{"title":"modelL5_F-1-bias.npy <span style='color:#111;'> 256B </span>","children":null,"spread":false},{"title":"modelL4_F-3-bias.npy <span style='color:#111;'> 256B </span>","children":null,"spread":false},{"title":"modelL5_F-3-bias.npy <span style='color:#111;'> 256B </span>","children":null,"spread":false},{"title":"modelL6_F-4-bias.npy <span style='color:#111;'> 192B </span>","children":null,"spread":false},{"title":"modelL3_F-4-bias.npy <span style='color:#111;'> 192B </span>","children":null,"spread":false},{"title":"modelL4_F-4-bias.npy <span style='color:#111;'> 192B </span>","children":null,"spread":false},{"title":"modelL5_F-4-bias.npy <span style='color:#111;'> 192B </span>","children":null,"spread":false},{"title":"modelL1_F-4-bias.npy <span style='color:#111;'> 192B </span>","children":null,"spread":false},{"title":"modelL2_F-4-bias.npy <span style='color:#111;'> 192B </span>","children":null,"spread":false},{"title":"modelL5_F-5-bias.npy <span style='color:#111;'> 136B </span>","children":null,"spread":false},{"title":"modelL4_F-5-bias.npy <span style='color:#111;'> 136B </span>","children":null,"spread":false},{"title":"modelL3_F-5-bias.npy <span style='color:#111;'> 136B </span>","children":null,"spread":false},{"title":"modelL2_F-5-bias.npy <span style='color:#111;'> 136B </span>","children":null,"spread":false},{"title":"modelL1_F-5-bias.npy <span style='color:#111;'> 136B </span>","children":null,"spread":false},{"title":"modelL6_F-5-bias.npy <span style='color:#111;'> 136B </span>","children":null,"spread":false},{"title":"DVC_ An End-to-end Deep Video Compression Framework.pdf <span style='color:#111;'> 2.59MB </span>","children":null,"spread":false},{"title":"UVG.png <span style='color:#111;'> 220.57KB </span>","children":null,"spread":false},{"title":"MCL.png <span style='color:#111;'> 200.43KB </span>","children":null,"spread":false},{"title":"HEVCClass_D.png <span style='color:#111;'> 192.81KB </span>","children":null,"spread":false},{"title":"HEVCClass_C.png <span style='color:#111;'> 178.24KB </span>","children":null,"spread":false},{"title":"HEVCClass_B.png <span style='color:#111;'> 174.92KB </span>","children":null,"spread":false},{"title":"HEVCClass_E.png <span style='color:#111;'> 165.40KB </span>","children":null,"spread":false},{"title":"VTL.png <span style='color:#111;'> 159.61KB </span>","children":null,"spread":false},{"title":"HEVCClass_A.png <span style='color:#111;'> 156.74KB </span>","children":null,"spread":false},{"title":"UVG_msssim.png <span style='color:#111;'> 80.77KB </span>","children":null,"spread":false},{"title":"HEVCClass_D_msssim.png <span style='color:#111;'> 69.64KB </span>","children":null,"spread":false},{"title":"UVG_psnr.png <span style='color:#111;'> 66.47KB </span>","children":null,"spread":false},{"title":"MCL_msssim.png <span style='color:#111;'> 64.56KB </span>","children":null,"spread":false},{"title":"HEVCClass_D_psnr.png <span style='color:#111;'> 63.05KB </span>","children":null,"spread":false},{"title":"HEVCClass_C_psnr.png <span style='color:#111;'> 62.98KB </span>","children":null,"spread":false},{"title":"HEVCClass_B_msssim.png <span style='color:#111;'> 62.86KB </span>","children":null,"spread":false},{"title":"HEVCClass_C_msssim.png <span style='color:#111;'> 61.85KB </span>","children":null,"spread":false},{"title":"MCL_psnr.png <span style='color:#111;'> 61.00KB </span>","children":null,"spread":false},{"title":"HEVCClass_B_psnr.png <span style='color:#111;'> 57.97KB </span>","children":null,"spread":false},{"title":"HEVCClass_E_msssim.png <span style='color:#111;'> 57.60KB </span>","children":null,"spread":false},{"title":"VTL_msssim.png <span style='color:#111;'> 56.01KB </span>","children":null,"spread":false},{"title":"VTL_psnr.png <span style='color:#111;'> 55.27KB </span>","children":null,"spread":false},{"title":"HEVCClass_E_psnr.png <span style='color:#111;'> 50.32KB </span>","children":null,"spread":false},{"title":"HEVCClass_A_msssim.png <span style='color:#111;'> 49.58KB </span>","children":null,"spread":false},{"title":"HEVCClass_A_psnr.png <span style='color:#111;'> 45.82KB </span>","children":null,"spread":false},{"title":"draw_HEVC.py <span style='color:#111;'> 17.32KB </span>","children":null,"spread":false},{"title":"endecoder.py <span style='color:#111;'> 16.82KB </span>","children":null,"spread":false},{"title":"flowlib.py <span style='color:#111;'> 13.95KB </span>","children":null,"spread":false},{"title":"main.py <span style='color:#111;'> 10.92KB </span>","children":null,"spread":false},{"title":"ms_ssim_torch.py <span style='color:#111;'> 8.40KB </span>","children":null,"spread":false},{"title":"net.py <span style='color:#111;'> 8.10KB </span>","children":null,"spread":false},{"title":"draw_uvg.py <span style='color:#111;'> 6.77KB </span>","children":null,"spread":false},{"title":"measure265.py <span style='color:#111;'> 6.44KB </span>","children":null,"spread":false},{"title":"dataset.py <span style='color:#111;'> 5.67KB </span>","children":null,"spread":false},{"title":"draw_mcl.py <span style='color:#111;'> 5.05KB </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
其他资源
- 机器人动力学与控制——霍伟
- matlab 图像处理代码
- pb9 通过http、https协议post
- TSK_wafer map转换易语言源码
- USB开发大全，第5版（USB Complete - Jan Axelson, 5th Edition）
- PLC编程及应用
- 中国卫生健康统计年鉴- 2020年完整版.zip
- 商场后台管理系统(毕业论文)
- 利用鸢尾花数据进行K均值分类
- 网络拓扑发现算法c++源码
- 现代信号谱分析
- JAVA100道习题集合
- DEWE2-M7.pdf
- 【闲说】性能测试
- ace_tao开发企业级应用 中文版
- eda实验报告.docx
- 基于标签的用户协同算法python
- php+thinkphp+mysql开发的erp系统
- 写论文必备的工具之一读取图表上数据的神奇小软件Datadig
- 第十一届飞思卡尔比赛光电组程序
- ppm图片转换工具(windows版本)
- 概念版QQ登录界面
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
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