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eft #78
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You can have a look at this repo: https://github.com/facebookresearch/eft |
我已经将h36m.py中的数据集路径改为我保存数据集的绝对路径,但是还是会出现相关的错误,此外我也确认了一下h36m/images 文件夹下有417772张图片 |
这个bug还是比较容易的,你打印一下imgpath不就知道为什么读取不到图片了么 |
奇怪了,你这不是最新版的代码吧,77行不是已经把图片地址加进去了么。 |
在您更新h36m.py之前我下载一下以前的版本,导致不是最新的[苦涩]。再一次感谢您的答复和您的分享。 |
客气了,有问题再找我。有售后的,觉得好再来~ |
可以把93-95行删掉 |
这个Mesh是vedo 库的一个类,是在from vedo import *导入的,其实有没有smooth区别不大,去掉也可以。 |
您是在服务器上跑的么?show_mesh_stand_on_image 和 interactive_vis都需要在具有操作桌面的机器上跑才可以,因为可视化渲染需要的一些硬件在服务器这种没有可视化功能的设备上没有。 |
Thanks for sharing, there are some questions about the dataset.Some datasets, such as coco, LSP, use pseudo 3D annotations. Will you share these pseudo-annotations, such as data/eft_fit/ coco2014-all-ver01.json mentioned in the code
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