problems occurred when training

[Fortogether]

Hello author, first of all, thank you very much for open sourcing your work. My English and code skills are not very good, so here I will briefly talk about the problem when training, I have the following error when training with mpiigaze dataset: get_ignored_params() takes 1 positional argument but 2 were given;
when using Adam optimizer get_ ignored_params, get_non_ignored_params, get_fc_params all have the above error, I don't know how to change it, can you give some advice to me, thanks a lot.

[MisterLuka]

Hello author, I have same problem. Waiting for your answer, thanks a lot

[MisterLuka]

Hello author, I have same problem. Waiting for your answer, thanks a lot

[AimersS]

作者您好，首先非常感谢您开源您的工作。我的英文和代码能力都不是很好，所以这里简单说一下训练时的问题，我用mpiigaze数据集训练时出现如下错误：get_ignored_pa​​rams() takes 1 positional argument but 2 were given； 在使用Adam优化器时get_ignored_pa​​rams、get_non_ignored_pa​​rams、get_fc_params都出现上述错误，不知道怎么改，能否给点建议，非常感谢。

There is an unspecified value in his train.py, and I used 180。

[Xiaosong020]

Hello author, first of all, thank you very much for open sourcing your work. My English and code skills are not very good, so here I will briefly talk about the problem when training, I have the following error when training with mpiigaze dataset: get_ignored_params() takes 1 positional argument but 2 were given; when using Adam optimizer get_ ignored_params, get_non_ignored_params, get_fc_params all have the above error, I don't know how to change it, can you give some advice to me, thanks a lot.

您好，看到您在训练时出现了问题，想必数据的前处理已经搞定了，想请问您的MPIIFaceGaze数据前处理是怎么做的呢？我在这个地方卡了很久了，期望得到您的回复

[AimersS]

BCAA GazeHub@Phi-ai Lab.provides data preprocessing code, which you can find online,u need to download both mpiigaze and mpiifacegaze

[Xiaosong020]

BCAA GazeHub@Phi-ai Lab.provides data preprocessing code, which you can find online,u need to download both mpiigaze and mpiifacegaze

我按照给定数据处理步骤，运行data_processing_mpii.py时，出现了如下问题，我下载的Origianal MPIIFaceGaze数据集没有annotation.txt，

File "/home/nixiaosong/projects/GazeDetection/L2CS-Net/data_preprocess/MPIIFaceGaze/data_processing_mpii.py", line 154, in
ImageProcessing_MPII()
File "/home/nixiaosong/projects/GazeDetection/L2CS-Net/data_preprocess/MPIIFaceGaze/data_processing_mpii.py", line 31, in ImageProcessing_MPII
ImageProcessing_Person(im_root, sample_list, im_outpath, label_outpath, person)
File "/home/nixiaosong/projects/GazeDetection/L2CS-Net/data_preprocess/MPIIFaceGaze/data_processing_mpii.py", line 50, in ImageProcessing_Person
with open(annotation) as infile:
FileNotFoundError: [Errno 2] No such file or directory: '/ssd1/datasets/GazeDetection/Original/MPIIFaceGaze/Origin/Data/Original/p00/day38/annotation.txt'

[Xiaosong020]

BCAA GazeHub@Phi-ai Lab.provides data preprocessing code, which you can find online,u need to download both mpiigaze and mpiifacegaze
已经解决了，谢谢

[AimersS]

I suggest you carefully read what Dr. Chen wrote on the page. MPII contains two datasets, which u need to download and preprocess at the same time

[flinya]

Hello author, I have same problem. Waiting for your answer, thanks a lot

Hello , I have same problem. Could you give me some advice, thanks a lot

[Foggyfish]

Hello author, first of all, thank you very much for open sourcing your work. My English and code skills are not very good, so here I will briefly talk about the problem when training, I have the following error when training with mpiigaze dataset: get_ignored_params() takes 1 positional argument but 2 were given; when using Adam optimizer get_ ignored_params, get_non_ignored_params, get_fc_params all have the above error, I don't know how to change it, can you give some advice to me, thanks a lot.

Hello, I have same problem, did you solve the problem? Could you give me some suggestions, thanks a lot.

[Foggyfish]

作者您好，首先非常感谢您开源您的工作。我的英文和代码能力都不是很好，所以这里简单说一下训练时的问题，我用mpiigaze数据集训练时出现如下错误：get_ignored_pa​​rams() takes 1 positional argument but 2 were given； 在使用Adam优化器时get_ignored_pa​​rams、get_non_ignored_pa​​rams、get_fc_params都出现上述错误，不知道怎么改，能否给点建议，非常感谢。

There is an unspecified value in his train.py, and I used 180。

How did you specifically solve this problem? Can you provide a detailed explanation? Thank you very much