Comments (11)
from deep-prior.
is the data used for training is "depth_1" in NYU dataset. ? or "synthdepth"?when I used the "depth_1",I found that the code didn't detect the position of the hand very well.when I used the "synthdepth",the code detected the position of the hand well.Thank you very much.
from deep-prior.
from deep-prior.
The code of hand detector is based on gtorig [13]?which is from the data of label.But there is no such data in practice.How do we cut out the pictures with only hands?Thank you very much.
from deep-prior.
from deep-prior.
is used the main_nyu_com_refine for for refining the location of the hand?then use the main_nyu_posereg_embedding for training the location of the joints,finally use the ORRef for refine the location of the joints?
from deep-prior.
from deep-prior.
I understand. Thanks a lot!
from deep-prior.
The test results of the model I trained came out. The test results in test 2 were much worse than those in test 1.Is it because the two data people are different?Does the size of the palm of different people affect the accuracy of the test? the result of your report is frome test1 or test2? look forward to your favourable reply. Thank you!
from deep-prior.
distance(mm) | train | test1 | test2
10 | 25.84% | 15.82% | 0.12%
20 | 74.57% | 52.01% | 11.44%
30 | 88.89% | 73.44% | 32.71%
40 | 94.54% | 82.38% | 48.61%
50 | 97.43% | 89.18% | 64.52%
60 | 98.85% | 93.81% | 76.74%
70 | 99.43% | 97.01% | 85.31%
80 | 99.76% | 98.44% | 90.31%
This is the result of my test(the fraction of frames Within distance(max))
from deep-prior.
You are correct that the results for test2 are worse. This is due to the fact that test2 is a different user with different hand size than the training user. Therefore, it is encouraged to adjust the crop size of the hand cube accordingly. The evaluation in the report is from the joint set of test1+test2.
from deep-prior.
Related Issues (20)
- Input and output size of the CNN layers HOT 1
- Some questions about refinement using ICVL dataset. HOT 15
- Loading depth map of ICVL data HOT 3
- Hi I have a question about hand detection module HOT 8
- test_1 and test_2 in NYU dataset HOT 14
- data augmentation HOT 1
- How to get the xyz coordinates HOT 1
- Hi i have a question about data pre-processing HOT 1
- Hi, I have a question when using tensorflow HOT 10
- i cant find a package HOT 1
- problem with roslaunch HOT 2
- problem when i run a node
- problem with run the code HOT 3
- IOError: [Errno 2] No such file or directory: './NYU_network_prior.pkl' HOT 3
- use the camera HOT 5
- use kinect
- the refinement of ORRef HOT 1
- Low dimensional embedding
- Confusion in the use of poseNet in real time HOT 5
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-prior.