Comments (9)
Actually, you can try this.
from manydepth.
@suyuzhang Hi,have you tried this method in the indoor environment?
from manydepth.
Hi!
I train this for indoor scenes. But get depth a little bit weird:
I'm confused is there any mistake I made?
from manydepth.
Hi!
I train this for indoor scenes. But get depth a little bit weird:
I'm confused is there any mistake I made?
Have you changed the max_depth and min_depth in the options.py. It's better if you can share your setting.
from manydepth.
Hi!
I train this for indoor scenes. But get depth a little bit weird:
I'm confused is there any mistake I made?Have you changed the max_depth and min_depth in the options.py. It's better if you can share your setting.
Hi!
I only change the max_depth to 10 in options.py, and the min_depth is 0.1. So what else should I pull the change(like some max_depth settings in training code)?
from manydepth.
Hi!
I train this for indoor scenes. But get depth a little bit weird:
I'm confused is there any mistake I made?Have you changed the max_depth and min_depth in the options.py. It's better if you can share your setting.
Hi!
I only change the max_depth to 10 in options.py, and the min_depth is 0.1. So what else should I pull the change(like some max_depth settings in training code)?
Which indoor dataset do you use?
The results are the predicted depth using the KITTI trained model? Or you train the model in the indoor dataset, the final results are these?
from manydepth.
Hi. Have you changed intrinsics?
from manydepth.
Hi!
I train this for indoor scenes. But get depth a little bit weird:
I'm confused is there any mistake I made?Have you changed the max_depth and min_depth in the options.py. It's better if you can share your setting.
Hi!
I only change the max_depth to 10 in options.py, and the min_depth is 0.1. So what else should I pull the change(like some max_depth settings in training code)?
Hi, hello. Have you figured out the cause of this issue? I've also encountered a similar problem.nianticlabs/monodepth2#483
from manydepth.
Hi. Have you changed intrinsics?
hello , I met the same issue with him. i changed the intrinsics , and changed the weight\height in option.py,however i the result as follows: RGB image(top) depth map predict from author provided mono_640*192 (middle) trained by myself(bottm)
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.