tb0003.png
tb0004.png
tb0005.png
tb0006.png
tb0007.png
tb0009.png
tb0012.png
tb0014.png
tb0015.png
tb0017.png
tb0018.png
tb0019.png
tb0020.png
tb0021.png
tb0024.png
tb0026.png
tb0027.png
tb0028.png
tb0029.png
tb0030.png
tb0031.png
tb0032.png
tb0033.png
tb0034.png
tb0036.png
tb0037.png
tb0040.png
tb0042.png
tb0043.png
tb0045.png
tb0047.png
tb0049.png
tb0050.png
tb0051.png
tb0052.png
tb0053.png
tb0054.png
tb0056.png
tb0057.png
tb0059.png
tb0062.png
tb0063.png
tb0065.png
tb0066.png
tb0068.png
tb0069.png
tb0071.png
tb0073.png
tb0075.png
tb0076.png
tb0077.png
tb0079.png
tb0080.png
tb0081.png
tb0082.png
tb0083.png
tb0084.png
tb0085.png
tb0086.png
tb0087.png
tb0088.png
tb0089.png
tb0090.png
tb0091.png
tb0092.png
tb0094.png
tb0095.png
tb0096.png
tb0098.png
tb0100.png
tb0103.png
tb0104.png
tb0107.png
tb0108.png
tb0114.png
tb0115.png
tb0117.png
tb0118.png
tb0120.png
tb0124.png
tb0125.png
tb0126.png
tb0128.png
tb0129.png
tb0132.png
tb0133.png
tb0134.png
tb0135.png
tb0136.png
tb0137.png
tb0138.png
tb0139.png
tb0140.png
tb0141.png
tb0142.png
tb0145.png
tb0146.png
tb0147.png
tb0148.png
tb0150.png
tb0151.png
tb0153.png
tb0154.png
tb0155.png
tb0156.png
tb0162.png
tb0163.png
tb0164.png
tb0166.png
tb0167.png
tb0168.png
tb0170.png
tb0174.png
tb0175.png
tb0176.png
tb0177.png
tb0179.png
tb0183.png
tb0184.png
tb0186.png
tb0190.png
tb0191.png
tb0192.png
tb0193.png
tb0194.png
tb0196.png
tb0197.png
tb0199.png
tb0200.png
tb0201.png
tb0202.png
tb0203.png
tb0205.png
tb0206.png
tb0208.png
tb0209.png
tb0212.png
tb0216.png
tb0217.png
tb0219.png
tb0221.png
tb0223.png
tb0226.png
tb0227.png
tb0228.png
tb0229.png
tb0231.png
tb0232.png
tb0234.png
tb0235.png
tb0236.png
tb0237.png
tb0238.png
tb0239.png
tb0240.png
tb0241.png
tb0242.png
tb0244.png
tb0246.png
tb0248.png
tb0250.png
tb0251.png
tb0252.png
tb0253.png
tb0255.png
tb0256.png
tb0260.png
tb0262.png
tb0264.png
tb0266.png
tb0267.png
tb0269.png
tb0270.png
tb0271.png
tb0273.png
tb0274.png
tb0275.png
tb0277.png
tb0279.png
tb0280.png
tb0282.png
tb0283.png
tb0284.png
tb0285.png
tb0286.png
tb0287.png
tb0288.png
tb0289.png
tb0290.png
tb0291.png
tb0292.png
tb0293.png
tb0294.png
tb0297.png
tb0298.png
tb0299.png
tb0300.png
tb0301.png
tb0303.png
tb0305.png
tb0306.png
tb0307.png
tb0309.png
tb0311.png
tb0313.png
tb0315.png
tb0316.png
tb0317.png
tb0318.png
tb0319.png
tb0321.png
tb0322.png
tb0323.png
tb0324.png
tb0325.png
tb0326.png
tb0327.png
tb0329.png
tb0330.png
tb0332.png
tb0333.png
tb0335.png
tb0336.png
tb0337.png
tb0338.png
tb0342.png
tb0343.png
tb0345.png
tb0346.png
tb0347.png
tb0348.png
tb0349.png
tb0350.png
tb0352.png
tb0353.png
tb0354.png
tb0355.png
tb0356.png
tb0357.png
tb0360.png
tb0361.png
tb0362.png
tb0364.png
tb0365.png
tb0366.png
tb0369.png
tb0370.png
tb0371.png
tb0372.png
tb0373.png
tb0374.png
tb0376.png
tb0377.png
tb0378.png
tb0380.png
tb0382.png
tb0383.png
tb0386.png
tb0388.png
tb0389.png
tb0390.png
tb0391.png
tb0392.png
tb0393.png
tb0395.png
tb0397.png
tb0398.png
tb0399.png
tb0402.png
tb0404.png
tb0405.png
tb0406.png
tb0407.png
tb0408.png
tb0409.png
tb0413.png
tb0417.png
tb0418.png
tb0419.png
tb0420.png
tb0424.png
tb0425.png
tb0427.png
tb0429.png
tb0431.png
tb0433.png
tb0434.png
tb0435.png
tb0439.png
tb0441.png
tb0442.png
tb0443.png
tb0445.png
tb0446.png
tb0447.png
tb0449.png
tb0450.png
tb0451.png
tb0452.png
tb0453.png
tb0455.png
tb0456.png
tb0459.png
tb0460.png
tb0463.png
tb0465.png
tb0467.png
tb0469.png
tb0470.png
tb0472.png
tb0473.png
tb0474.png
没有合适的资源?快使用搜索试试~ 我知道了~
温馨提示
ResNet代码打开后位于net文件夹下,先使用train.py文件训练网络,再使用predict.py输出预测结果 Unet代码位于seg文件夹下,bladder为网络训练,valida为网络分割结果。 所有代码均可使用自己的数据集,对于分割网络需要标签 希望对大家毕设有帮助,任何问题可以私信问我。 网络训练可以使用GPU也可以使用CPU,默认笔记本使用CPU,若要用到GPU,将代码中.cpu改为cuda 详情见我的博文:https://blog.csdn.net/qq_52060635/article/details/134149072?spm=1001.2014.3001.5502 在ResNet网络中有如下几个亮点: 提出residual结构(残差结构),并搭建超深的网络结构(突破1000层) 使用Batch Normalization加速训练(丢弃dropout) Unet的好处是:网络层越深得到的特征图,有着更大的视野域,浅层卷积关注纹理特征,深层网络关注本质的那种特征
资源推荐
资源详情
资源评论
收起资源包目录
基于ResNet的图像分类和基于Unet的图像分割 (2000个子文件)
events.out.tfevents.1694330135.DESKTOP-5FUTTDE 7KB
events.out.tfevents.1694427825.DESKTOP-5FUTTDE 7KB
events.out.tfevents.1694427825.DESKTOP-5FUTTDE 5KB
events.out.tfevents.1694395448.DESKTOP-5FUTTDE 2KB
events.out.tfevents.1694426990.DESKTOP-5FUTTDE 174B
events.out.tfevents.1694328952.DESKTOP-5FUTTDE 174B
events.out.tfevents.1694426990.DESKTOP-5FUTTDE 134B
events.out.tfevents.1694326158.DESKTOP-5FUTTDE 134B
events.out.tfevents.1694328952.DESKTOP-5FUTTDE 134B
events.out.tfevents.1694328253.DESKTOP-5FUTTDE 134B
events.out.tfevents.1694356911.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694440364.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694337619.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694345070.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694354685.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694443299.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694445522.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694451389.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694432989.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694432993.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694361351.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694459448.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694340630.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694367273.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694336871.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694326133.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694445524.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694401413.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694439630.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694463839.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694332387.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694342859.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694460186.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694347288.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694350246.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694404351.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694437420.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694358394.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694365053.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694356169.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694333137.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694445520.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694360604.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694406543.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694426849.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694328962.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694441831.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694453593.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694349503.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694356165.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694431514.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694433725.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694438156.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694356916.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694352463.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694330141.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694446994.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694353944.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694364305.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694449195.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694448457.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694398469.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694331645.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694403609.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694452860.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694369495.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694354683.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694454321.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694365050.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694365055.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694400677.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694362088.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694337610.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694347285.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694357653.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694335380.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694326158.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694457983.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694443292.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694455058.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694400669.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694426729.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694332384.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694333138.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694353948.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694337617.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694455785.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694368017.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694426728.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694362090.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694399939.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694402140.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694446996.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694350243.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694366529.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694398474.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694359125.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694450665.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694355429.DESKTOP-5FUTTDE 40B
events.out.tfevents.1694345813.DESKTOP-5FUTTDE 40B
共 2000 条
- 1
- 2
- 3
- 4
- 5
- 6
- 20
资源评论
ヤ。。。&♚
- 粉丝: 4
- 资源: 4
上传资源 快速赚钱
- 我的内容管理 展开
- 我的资源 快来上传第一个资源
- 我的收益 登录查看自己的收益
- 我的积分 登录查看自己的积分
- 我的C币 登录后查看C币余额
- 我的收藏
- 我的下载
- 下载帮助
安全验证
文档复制为VIP权益,开通VIP直接复制
信息提交成功