Comments (5)
请问300w数据集是将 afw、helen、ibug、lfpw整个文件夹放在raw目录下吗,准备数据时总是会读不到图片?期待您的回复
对的 四个目录都放在raw目录下 注意ibug有张图片的名称中间是多了一个空格符号 应该去掉这个空格就没问题啦
from pfld_68points_pytorch.
请问300w数据集是将 afw、helen、ibug、lfpw整个文件夹放在raw目录下吗,准备数据时总是会读不到图片?期待您的回复
对的 四个目录都放在raw目录下 注意ibug有张图片的名称中间是多了一个空格符号 应该去掉这个空格就没问题啦
谢啦,是ibug第92张图片格式有问题。您的代码中ION 是计算的 [72:74] 和[90:92] 也就是73 和 91 这两点的距离,请问这个是按照98点来的吗,如果是 那么计算IPN 应该是 [72:80] 和 [87:95],但是跑出来不对,请问您是怎么算的呢?
from pfld_68points_pytorch.
ION用到的两个点是两眼外眼角间距离(序号为36与45的点),点坐标是由x,y组成,故68*2=136维数组,那么第36的x,y值应该为72,73 同理第45的x,y值应该为90,91
IPN用到的两个点是两眼瞳孔间距离,这两个点需要自己先求出来,再计算两点的距离
left_centerx = (x36+x37+x38+x39+x40+x41)/6
left_centery = (y36+y37+y38+y39+y40+y41)/6
right_centerx = (x42+x43+x44+x45+x46+x47)/6
right_centery = (y42+y43+y44+y45+y46+y47)/6
from pfld_68points_pytorch.
ION用到的两个点是两眼外眼角间距离(序号为36与45的点),点坐标是由x,y组成,故68*2=136维数组,那么第36的x,y值应该为72,73 同理第45的x,y值应该为90,91
IPN用到的两个点是两眼瞳孔间距离,这两个点需要自己先求出来,再计算两点的距离
left_centerx = (x36+x37+x38+x39+x40+x41)/6
left_centery = (y36+y37+y38+y39+y40+y41)/6
right_centerx = (x42+x43+x44+x45+x46+x47)/6
right_centery = (y42+y43+y44+y45+y46+y47)/6
谢谢您的回复,代码我理解错了。
from pfld_68points_pytorch.
想问一下300VW raw下面的文件夹目录是怎么放置的呢??
代码里好像是直接去读~/PFLD_68points_Pytorch/data/300VW/raw/300VW_Dataset_2015_12_14下的vid.avi文件了。但是我把300VW压缩包解压之后还有很多子文件夹,001,002等
from pfld_68points_pytorch.
Related Issues (20)
- 300w数据集的百度云密码是多少 HOT 2
- 有没有使用PFLD做头部姿态估计的代码,而不是使用dlib
- train_model.py中的一点疑问 HOT 2
- 请问你这边提供的预训练模型是使用的什么数据集训练的? HOT 1
- 读取数据出错
- 训练多少个epoch后loss能正常收敛 HOT 8
- 关于使用300W数据集进行训练的问题 HOT 3
- 有关3D人脸坐标的问题 HOT 1
- 还想没有300W的困难数据的txt文件(ibug的130多张图的)
- test代码的算error分母好像不对 HOT 1
- 脸离摄像头较近关键点出现较大偏移 HOT 1
- Loss saturate after 80 Epoch HOT 1
- Does model also provides each landmark confidence score HOT 3
- 关于coco里的关键点 HOT 3
- 没有依赖包版本文件 HOT 2
- 欧拉角这部分怎么理解的呢 HOT 1
- 关于用自己制作的人脸数据集应该如何预处理的问题?
- 好像给dataloader设置num_worker就会出bug?
- 关于损失函数的问题 HOT 1
- 98 点 转 68 点的眼睛的关键点没对应上
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from pfld_68points_pytorch.