Comments (2)
Thanks!
I've gotten it working given the changes you've suggested and the available code snippets. I've put my version of the file here.
It's training now. I'll let you decide if you want to close this issue, or keep it to signpost for others.
Thanks again for your quick reply and help.
from deep-video-mvs.
Sorry for not having that part in the repository. Both should work and give similar results since training is done with square shaped images and gradient flow disabled. As far as I can remember, non-differentiable function was having issues with the GPU memory space on GTX 1080Ti for some reason during training (which is already quite maxed out with the current batch and sub-sequence sizes). Therefore,
- You can borrow the lines 87, 88, [179, 191], 201, 202 from
fusionnet/run-testing.py
. - Replace the non-differentiable function with the differentiable function just because of potential memory issues. Don't forget to
.detach()
the prediction tensor while assigning it to theprevious_depth
variable to disable the gradient flow. - Set the image size function parameters correctly to
Config.training_image_width
andConfig.training_image_height
- Finetune only the LSTMFusion module
I can not test this right now, so please let me know how it goes or if you need more info.
from deep-video-mvs.
Related Issues (20)
- Why cell state 'C' in ConvLSTM Cell doesn't warp? HOT 5
- Testing Custom video sequences HOT 3
- The split of scannet dataset HOT 2
- Error when parsing the scannet data by using scannet-export.py HOT 1
- Running on Colab HOT 1
- Cameras with Fixed Position HOT 1
- Scannet test results HOT 3
- Fusion network training. Pretrained PairNet Decoder? HOT 4
- 7Scenes Depth and RGB Intrinsics/focal lengths HOT 2
- Width normalizer in cost volume fusion
- Can you provide the meshes of your method and the baseline methods on ScanNet and 7Scenes? HOT 3
- Possibly incorrect ConvLSTM warping HOT 3
- Results after 200k iterations training on Pairnet
- Why Nerualrgbd's performance reported is so low? HOT 2
- TUM-dataset HOT 1
- How long does it take to train the networks? HOT 3
- Question for frame selection HOT 7
- Depth scale of RGBD Scene V2 HOT 2
- Code to generate mesh as the mp4 shows HOT 2
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 deep-video-mvs.