Pretrained Model Information

[fabr0d]

Dear author, could you provide us with information about the training that was done to obtain the pretrained model(ResidualGRUNet), such as the configuration used, the hardware, etc. Thanks in advance.

[heromanba]

Hi, sorry to reply late.

For configuration, you can refer to this file https://github.com/heromanba/3D-R2N2-PyTorch/blob/master/experiments/scripts/res_gru_net.sh

For hardware,

+-----------------------------------------------------------------------------+
| NVIDIA-SMI 430.50       Driver Version: 430.50       CUDA Version: 10.1     |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|===============================+======================+======================|
| 0  GeForce RTX 2060super  Off | 00000000:01:00.0  On |                  N/A |
|  0%   44C    P8    13W / 175W |    141MiB /  7977MiB |      3%      Default |
+-------------------------------+----------------------+----------------------+