Search results

Clarification of architecture used to do benchmarking on RGB dataset

Status: Open.

#45 In fangchangma/sparse-to-dense.pytorch;

· charan1561 opened on Nov 13, 2024

replace the method of "misc.imresize(img, self.size, self.interpolation, 'F')"

Status: Open.

#44 In fangchangma/sparse-to-dense.pytorch;

· Rander2002 opened on Jan 15, 2024

Output for custom image

Status: Open.

#43 In fangchangma/sparse-to-dense.pytorch;

· OmSDeshmukh opened on Sep 11, 2023

The principle of implementing a simple Visual Odometry (VO) algorithm

Status: Open.

#42 In fangchangma/sparse-to-dense.pytorch;

· KUZMA42 opened on Sep 5, 2023

Scaling factor cancels out for depth values

Status: Open.

#41 In fangchangma/sparse-to-dense.pytorch;

· jocodeone opened on Nov 7, 2022

Request for pretrained model with depth-only modality

Status: Open.

#37 In fangchangma/sparse-to-dense.pytorch;

· joonjeon opened on Mar 23, 2022

Benchmark on KITTI vs NYU Depth v2

Status: Open.

#36 In fangchangma/sparse-to-dense.pytorch;

· rafiqul713 opened on Apr 18, 2021

pose information for processed data

Status: Open.

#35 In fangchangma/sparse-to-dense.pytorch;

· weihaosky opened on Mar 3, 2021

License for repo

Status: Open.

#34 In fangchangma/sparse-to-dense.pytorch;

· eduard626 opened on Jun 11, 2020

The low download speed in NYU and KITTI

Status: Open.

#33 In fangchangma/sparse-to-dense.pytorch;

· whubaichuan opened on Jun 4, 2020

Different sparse input when each sample input is loaded

Status: Open.

#32 In fangchangma/sparse-to-dense.pytorch;

· TruongKhang opened on Apr 12, 2020

How is the loss calculated for KITTI dataset ?

Status: Open.

#28 In fangchangma/sparse-to-dense.pytorch;

· allenyh opened on Apr 9, 2019