Training problems about gazeml HOT 6 CLOSED

when I debug these code, I find that np.random.rand() may generate 0 for line_rand_nums and then thickness will be 0 for line. So I rewrite thickness=math.ceil(6*line_rand_nums[j + 4]),hope it will be helpful

from gazeml.

I think this should resolve the issue. Please do follow-up in this thread on whether it helped - or even better - submit a pull request. Otherwise, I will make a patch.

Thanks for finding this issue! It must be a relatively new check in the OpenCV library.

from gazeml.

I think this should resolve the issue. Please do follow-up in this thread on whether it helped - or even better - submit a pull request. Otherwise, I will make a patch.

Thanks for finding this issue! It must be a relatively new check in the OpenCV library.

about the training time:
How long will it take for training 1 million imags?

from gazeml.

I remember training our model for the ETRA paper for 3-4 days.

from gazeml.

I remember training our model for the ETRA paper for 3-4 days.

Do you use multi-gpus to train the model? I spend about 14 days to train the ELG model that feeded 1 million UnityEye images in single TitanX. And I read though the training code carefully, it seems that you only use single GPU for training.

from gazeml.

Do you use the same network to train your model?

from gazeml.