Comments (3)
Hi @fxy2012 ,
The links work fine for me. Are you in China? Since I am hosting the data in Dropbox, maybe the website is blocked by the firewall. In any case, you should be able to open the link of the data in a standard browser. You can just copy everything after wget
and paste in a browser. e.g., for human seg:
MeshCNN/scripts/human_seg/get_data.sh
Line 8 in 29c30a4
from meshcnn.
Thank you for your reply. So can the codes support pytorch 1.0 with cuda9.0?
I ran with pytorch 1.0, cuda9.0, but the following error occurred.
TypeError: can't convert np.ndarray of type numpy.bool_. The only supported types are: double, float, float16, int64, int32, and uint8.
from meshcnn.
Hi @fxy2012 ,
The newest version of the code uses pytorch 1.2, you can install the environment as in the readme.
Alternatively, you can check out an older version of the code which used Pytorch 1.0 (i.e., run git checkout cf93099)
from meshcnn.
Related Issues (20)
- What is the purposes of soft_labels in segmentation data?
- How to input a mesh file to know the classification result? HOT 2
- IndexError: index out of range
- AssertionError
- What is the relationship between your meshes and original coseg meshes?
- Segmentation of objects with different characteristic
- assert no zero face area
- Does the class "Mesh" have an attribute about face?
- Undestanding .eseg file
- Proper TensorBoard Usage
- How to prepare data for a custom dataset?
- cannot install pytorch=1.2.0 HOT 1
- How to save a segmented (colored) mesh in .obj format?
- IndexError: index out of range
- Using my own obj files for training
- The problem when I run meshcnn classification HOT 1
- Problems with date preprocessing.
- help in figuring out how human_seg dataset was created
- Cannot load pre-trained weights
- Request for further documentation of code options on the meshcnn wiki for the Classification task
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 meshcnn.