Comments (3)
The "trained on simulation" experiment refers to the model trained on "anchor videos", which were reconstructed from the real-world ActEV videos. See here.
Please follow the training instructions from here to reproduce the main experiments if that's what you want.
from multiverse.
Thank you for your reply. I want to reproduce the results with "anchor videos". I got a question regarding the preprocessing of "anchor videos". How do you use the "anno_scene" for "anchor videos" as I don't get them after running "get_prepared_data.py". In in "get_prepared_data.py" line 71,72, "anno_scene" is mentioned but is commented:
#we will have scene segmentation feature for each needed frame
#args.scene_map_path = os.path.join(args.outpath, "anno_scene")
Can you please comment on how to get "anno_scene" for anchor_videos. Thank you
from multiverse.
I have not prepared the instructions for "anchor videos" experiment for the CVPR 2020 paper. Could you look at the instructions from here, which is in the ECCV'20 paper where we do training with multi-view anchor videos, and see whether that could help you first? Thanks.
from multiverse.
Related Issues (20)
- Visualize the model output HOT 2
- Feeding more features into forking path dataset HOT 1
- How to visualize new videos in simaug project? HOT 1
- Cannot find the scene36_64_id2name_top10.json file for single future trajectory data (Garden of forking path) HOT 4
- How to visualize Actev datasets in Simaug? HOT 1
- How to run model on one test video ? HOT 1
- Error to train SimAug HOT 12
- Visualise Data HOT 7
- Where is deeplabv3 loacate? HOT 1
- Visualize semantic segmentation image? HOT 1
- Pretrained model can't download!! HOT 1
- Script not found!! HOT 1
- Reason why no use_gnn in Multimodal testing HOT 8
- Prepare training data? HOT 1
- The project website does not open HOT 14
- Additional material for simaug article HOT 3
- can next-prediction to simAug? HOT 1
- pygame Windows图像无法呈现 HOT 1
- No such file or directory HOT 1
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 multiverse.