Comments (3)
I tried to set align_corners=True for grid_sample, and I got more points (22287197), but still less than 26727801.
from unimvsnet.
Maybe you can try Pytorch1.2.0, cudatoolkit 10.0 and python3.6.
from unimvsnet.
I tried to infer and fuse on DTU dataset, but found the predicted results are different from your released ply models.
For example: Your released point cloud for scan1 (mvsnet001_l3.ply): 26727801 points, fscore 0.191357 Predicted point cloud for scan1: 19405933 points, fscore 0.2162721
When I visualize the two point clouds, the completeness of predicted point cloud is much lower than released point cloud, especially around edges.
My environment: Fusibile: compiled with cuda 11.4, sm86 Pytorch: 1.8.2+cu111 Python: 3.8.12
Here is my log file for scan1 log.txt
Hi, I used gipuma to fuse the depth maps, but I the number I got is only half as the author provided. So if there is any parameters of setting I need to change?
from unimvsnet.
Related Issues (20)
- Loss equations 7-9 :: conditioning on q HOT 1
- about F-score on tanksandtemples HOT 2
- 关于fusion阈值的设置 HOT 2
- can not download DTU, Tank and Temples Dataset HOT 1
- Some questions about the differences between UniMVS and CasMVS HOT 2
- About abs_depthloss HOT 3
- 请问这个训练和测试时的源图像数量保持一致对结果有影响吗? HOT 2
- empty output point cloud HOT 9
- Question about gipuma HOT 3
- Got OOM error when calculating the gt_unity_index_volume HOT 1
- The evaluation results on DTU evaluation set are different between paper and released checkpoints HOT 2
- A problem about fusibile? HOT 1
- Error: no kernel image is available for execution on the device HOT 4
- About unity generation HOT 1
- 关于坦克和寺庙数据集的调参问题! HOT 2
- About your device HOT 1
- 测试自己的数据集
- Convergence speed. HOT 4
- 关于小数据集训练 HOT 4
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from unimvsnet.