Comments (3)
I find that the results of RCNN (demo.py) and openpose (inference.py) are different, and the result with openpose is even worse than RCNN. Could you tell me the reason for this phenomenon and which one do you recommend to use for testing?
did you run successfully? I meet some problem, can you give me some ideas
from expose.
@chaytonmin Do you have some specific example? The results will change due to the different boxes. Sometime the RCNN might give you a partial body detection, e.g. a lower body, for which the model has not been trained. I would recommend using full body crops for the best performance.
from expose.
Do you have the training code for this paper? Can you share it with me? This is my email address [email protected],Thank you very much.!
from expose.
Related Issues (20)
- behaviour on invalid image
- Inaccurate Prediction for Overweight People HOT 2
- question about dataset
- About v_template in checkpoint HOT 1
- Mesh from just openpose keypoints HOT 1
- About CPU inferance HOT 2
- global orients for the preprocessed image or the original image
- adding more features to SMPLX model
- How can I take use of the param.npz files?
- How can I get the "vertex_flip_correspondences"
- How can I get the smplx_edges.npy
- cublas runtime error: the GPU program failed to execute at /pytorch/aten/src/THC/THCBlas.cu:334
- flame parameter fitting
- Will the training code be released? HOT 1
- Why out_img shape is (4,y,x) and rgb error in out_img['rgb'][idx] HOT 1
- Illegal instruction
- PA-MPJPE for hands
- when import pyrender: ('Unable to load EGL library', ) HOT 1
- how to read param.npz result from demo.py
- Where is gt_keyps.npz ?
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 expose.