Yang Cheng
Yang Cheng
@CoarseSand In my experiments, the position loss will increase along with iterations, and the reconstruction loss will decrease gradually.
What the other cases in the NYU303 dataset?
What resolution of your origin image in NYU303 dataset? Maybe the images you used are not cropped and resized, as the processed images do not have white border.
We add one case of NYU dataset for debug, you can type `python test.py --pretrained DIR --data NYU303 --exam --visual` to get right result in ./results.
We have updated the code, and provide an `--exam` parameter to show one example of NYU303 dataset. The input image and reconstruction results are in `example/NYU0969` and `results` separately.
Hi, which dataset do you use separately in the three case? And the results of the first two lines seem to be correct?
You should do some inference on Structured3D and NYU303 test dataset. For randomly collected images online, maybe the predicted 3D parameters of planes are incorrect as the different intric metric...