HorizonNet

HorizonNet copied to clipboard

Since it has been completely removed starting opencv 4.1.0 https://github.com/opencv/opencv/issues/14576

aashutosh1997

Is it possible to translate the coordinates of a point from point cloud to the coordinates of the same point in the panorama?

dimabendera

Hi, I am preparing my own custom dataset of 360 panorama images. I read in issue #20 that I have to order the corner coordinates based on the 3d skeleton...

palver7

the result seems to be inversed

2

This is the 360 photo, as you can see, when facing the wall that has the main entrance, the main entrance should be on the right hand side.  the...

shi-yan

are there any tutorials / guidelines for sperical projection

2

Hi sunset1995, thank you so much for your contribution! I am currently going through this repository trying to understand what the code is doing, but I find some of the...

lixuran

After I trained by my customized data I want to evaluate the model on the test set. But when I run the inference.py for general shape estimation, the error came...

muachichi

Multiple pano images?

1

Can more than 1 pano image of the sam room be used to refine the model?

seankovacs

How to estimate room dimensions from reconstructed layout?

4

@sunset1995, thank you for the great work. Is it possible to estimate the dimensions of the room, either from panorama or reconstruction, using known camera parameters, such as camera height...

vuptran

finetune model

2

Hello, I have fine-tuned the training model according to the meaning of the article, but the results are different from yours. I don't know why the result is so bad....

github163sl

is there some model adjustment in it?

8

RuntimeError: Error(s) in loading state_dict for HorizonNet: Missing key(s) in state_dict: "feature_extractor.encoder.conv1.1.weight", "feature_extractor.encoder.bn1.weight", "feature_extractor.encoder.bn1.bias", "feature_extractor.encoder.bn1.running_mean", "feature_extractor.encoder.bn1.running_var", "feature_extractor.encoder.layer1.0.conv1.weight", "feature_extractor.encoder.layer1.0.bn1.weight", "feature_extractor.encoder.layer1.0.bn1.bias", "feature_extractor.encoder.layer1.0.bn1.running_mean", "feature_extractor.encoder.layer1.0.bn1.running_var", "feature_extractor.encoder.layer1.0.conv2.1.weight", "feature_extractor.encoder.layer1.0.bn2.weight", "feature_extractor.encoder.layer1.0.bn2.bias", "feature_extractor.encoder.layer1.0.bn2.running_mean", "feature_extractor.encoder.layer1.0.bn2.running_var", ... Unexpected key(s) in...

ayj12345