Comments (8)
vis_results['dist_abs'] is stored when using --denoise
in the previous code. The code has been updated to fix this issue when using only --grad_normal
.
from raydf.
thanks for your answer. But it seems that there is another issue I've encountered when I run this code "CUDA_VISIBLE_DEVICES=0 python run_mv.py --config configs/blender.txt --scene lego --eval_only" to evaluate the distance network.
[train] ADE=1.1995 CD=955.4302 CD_median=827.3363 PSNR=nan SSIM=nan LPIPS=nan
[test] ADE=1.1883 CD=949.7096 CD_median=835.1572 PSNR=nan SSIM=nan LPIPS=nan
why are the the values of CD, CD_median, PSNR, SSIM and LPIPS so strange, I wonder if it has anything to do with "scene lego"?
from raydf.
thanks for your answer. But it seems that there is another issue I've encountered when I run this code "CUDA_VISIBLE_DEVICES=0 python run_mv.py --config configs/blender.txt --scene lego --eval_only" to evaluate the distance network.
[train] ADE=1.1995 CD=955.4302 CD_median=827.3363 PSNR=nan SSIM=nan LPIPS=nan [test] ADE=1.1883 CD=949.7096 CD_median=835.1572 PSNR=nan SSIM=nan LPIPS=nan
why are the the values of CD, CD_median, PSNR, SSIM and LPIPS so strange, I wonder if it has anything to do with "scene lego"?
Have you loaded the pre-trained model during evaluation? The print log should be like this: 'Loading ckpt from: logs/multiview/...'
from raydf.
Hi,
Thanks for your patience.
It seems like the pretrained model loaded failed in my code, as shown below.
But I followed you evaluation steps and downloaded the checkpoints from the link you've shared. Is my step wrong?
from raydf.
Hi,
Thanks for your patience. It seems like the pretrained model loaded failed in my code, as shown below.
But I followed you evaluation steps and downloaded the checkpoints from the link you've shared. Is my step wrong?
How about the folder name you downloaded? It should be 'blender-lego_mv20d13w1024rgb0w1.0_lr1e-05bs8192iters80k' for Lego (geometry only). To be more specific, you can run this: "CUDA_VISIBLE_DEVICES=0 python run_mv.py --config configs/blender.txt --scene lego --eval_only --grad_normal --expname mv20d13w1024rgb0w1.0_lr1e-05bs8192iters80k" to make sure the loaded folder name is correct.
from raydf.
Hi, I've found the issue of my implementation. During adjustment, I've finally loaded the pre-trained model during evaluation. Thank your so much. The print log be like this: 'Loading ckpt from: logs/multiview/...'
But, there are still some issue in it. the value of PSNR and SSIM is really weird, is it normal? as shown below.
from raydf.
Hi, I've found the issue of my implementation. During adjustment, I've finally loaded the pre-trained model during evaluation. Thank your so much. The print log be like this: 'Loading ckpt from: logs/multiview/...'
But, there are still some issue in it. the value of PSNR and SSIM is really weird, is it normal? as shown below.
It is because this is the geometry-only mode (experiment Group 1 in the paper).
For geometry+radiance mode (experiment Group 2 in the paper), adding --rgb_layer 2
is required, and then the code will load the checkpoint from the folder "scannet-scene0004_00_mv20d13w1024rgb2w1.0_lr1e-05bs8192iters80k".
from raydf.
I see, thank you again for your patient explanation.
Best regards.
from raydf.
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