Comments (5)
Hello, and thanks for trying out our repo! It's good to see that you are in fact able to learn some kind of depth map – it looks like you're in the right direction.
It looks from the images that you might perhaps have some problem with intrinsics. Did you update the intrinsics in the dataloader to match the intrinsics for your dataset?
It might be easier to try using the monodepth2 repo first (https://github.com/nianticlabs/monodepth2/) with your data, as monodepth2 is a simpler version of manydepth. This would help you with debugging. Then once you have good results there you should be able to copy your dataloaders across to manydepth, with minimal changes to make them work here.
I'll leave this issue open for a few more days in case anyone else has any other comments. Thanks
from manydepth.
Thanks a lot! I found out that I forgot the 25% crop in data preprocessing. I have corrected my intrinsic and dataloader problems and now I have more satisfactory results.
from manydepth.
Great news, these new results look great.
from manydepth.
hello,what does crop 25% mean?Thank you very much if you answer me
from manydepth.
Thanks a lot! I found out that I forgot the 25% crop in data preprocessing. I have corrected my intrinsic and dataloader problems and now I have more satisfactory results.
hello,what does crop 25% mean?Thank you very much if you answer me
from manydepth.
Related Issues (20)
- Training on NYU-V2 Dataset
- Stereo + Tempora (training with stereo video like monodepth2)
- About cityscapes disparity to depth_gt HOT 2
- Can the scale ambiguity be resolved with multi-frame approach? HOT 1
- Depth Estimation Results on Single Frames
- Question of relative pose in matching augmentation.
- how to test many frames at the same time?
- Help training out bright reflection... HOT 1
- About scale problem in monocular setting HOT 2
- Why the training time of manydepth is much shorter than monodepth2? HOT 3
- when i test the image,the result of the depth is black HOT 1
- About MAX gt_depth HOT 2
- Get gt depth for other Cityscape images HOT 2
- Calculate the gt depth for Cityscape images HOT 3
- About qualitative results presented in Figure 4 HOT 1
- The dataset GT-Calculation HOT 1
- what should the
- How to conduct multi GPU training
- On the pre training model of cityscapes HOT 3
- custom dataset prepare
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 manydepth.