项目介绍

mli0603/BlenderNeuralangelo 是一个托管在 GitHub 上的开源项目,主要使用 Python 编写,目前获得 326 个 Star、24 次 Fork。

仓库全名
mli0603/BlenderNeuralangelo
Star 数
326
Fork 数
24
未关闭 Issue
2

README 摘要

BlenderNeuralangelo Blender addon to inspect and preprocess COLMAP data for Neuralangelo (CVPR 2023). The addon allows you to inspect the COLMAP poses, check the sparse reconstruction overlaid with RGB images, and export the bounding regions for Neuralangelo. Getting Started First clone the code to a local directory. 0: Running COLMAP Please follow the instructions to obtain COLMAP results. Alternatively, an example…

完整内容见 GitHub 原始 README 或本页 。

常见问题

BlenderNeuralangelo 用什么语言开发?

主要使用 Python 编写,目前有 326 个 Star。

如何获取 BlenderNeuralangelo 的源码?

可以直接克隆仓库:git clone https://github.com/mli0603/BlenderNeuralangelo.git,默认分支为 main;安装与运行步骤见仓库 README。

BlenderNeuralangelo 最近还在维护吗?

仓库最近一次更新为 2024年4月15日,当前有 2 个未关闭 Issue;Star 数为 326,可作为社区活跃度的参考。

关于

Blender addon to inspect and preprocess COLMAP data for Neuralangelo (CVPR 2023)

描述取自 GitHub 官方 API,中文内容由 GitRead 中文社区 编辑团队整理。

简要分析

热度分
381
价值分
203
活跃状态
活跃

语言占比

Python
Shell

README

BlenderNeuralangelo

Blender addon to inspect and preprocess COLMAP data for Neuralangelo (CVPR 2023). The addon allows you to inspect the COLMAP poses, check the sparse reconstruction overlaid with RGB images, and export the bounding regions for Neuralangelo.

Getting Started

First clone the code to a local directory.

cd /path/to/dir
git clone [email protected]:mli0603/BlenderNeuralangelo.git

0: Running COLMAP

Please follow the instructions to obtain COLMAP results. Alternatively, an example is provided in the folder toy_example.

If COLMAP instructions are followed correctly, a folder structure of the following should be expected:

DATA_PATH
├─ database.db      (COLMAP database)
├─ images           (undistorted input images)
├─ images_raw       (raw input images)
├─ sparse           (COLMAP data from SfM)
│  ├─ cameras.bin   (camera parameters)
│  ├─ images.bin    (images and camera poses)
│  ├─ points3D.bin  (sparse point clouds)
│  ├─ 0             (a directory containing individual SfM models. There could also be 1, 2... etc.)
│  ...
├─ stereo (COLMAP data for MVS, not used here)
...

1.1: Run Blender from command line

You can directly run Blender without worrying installation by:

./blender --python PATH_TO_BlenderNeuralangelo/start_blender_with_addon.py

Replace PATH_TO_BlenderNeuralangelo with your path to BlenderNeuralangelo.

1.2: Install as Addon

Installing as a Blender Addon avoids re-installation after quitting blender. To install as an Addon:

1.3: Run as code

Alternatively, the code can be directly run as follows:

After quitting Blender, this step must repeat.

2: Locating the control panel

After installation, the BlenderNeuralangelo panel can be located on the right side or press N on the keyboard.

3: Load COLMAP data

COLMAP can be loaded by providing the path to the COLMAP work directory. The images, camera parameters and sparse reconstruction results are loaded.

4: Inspect COLMAP data

COLMAP data can be inspected qualitatively by looking at the RGB, sparse reconstruction and pose results.

5: Defining region of interest

A graphics interface is provided to define the region of interest for Neuralangelo as a form of bounding box. Points outside the region of interest can be cropped.

6: Defining bounding sphere

Neuralangelo and prior works 123 on neural surface reconstruction often assumes a spherical region of interest. This addon generates a bounding sphere and exports the scene parameters (intrinsics, poses, bounding sphere) following the Instant NGP format.

评论

暂无评论