Comments (7)
@abhigoku10
Hello,
- In this project I realized the semantic segmentation of detect class(background and target), but instance segmentation is as far not works because I think the code of prjeddie is wrong, I have to fix it. Now I have hard work of face detection, so maybe later I can find a intern to finish it;
- Are you testing it in CPU only? If ture, the time is match what we are expecting for. First, I use the image size 1024×512,But actually you can resize and retrain the net with 214*214, but you have to resize the dataset of train; Second, I use the Network of Unet, but it is not necessary, you can change it reference yolo-tiny; Last, in my real project, I used many ways to reduce the computation, like prune, quantization, parallel compute, I have upload part of demo project to my repo:
https://github.com/ArtyZe/yolo_embedded_acceleration
After I finish the face detect project, I can update the accelerated segmentation code
from yolo_segmentation.
@ArtyZe thanks for the response .
1.sure thanks for this update , i shall look into the instance segmentation .
2.yes i am running it on CPU, as suggest i shall re-train it with different resolution . Can i change the network from u-net, yolo-tiny to other network like yolact for which we have to change the cfg and other c files how feasible would it be .. Thanks for sharing the computation time features i shall look into it
from yolo_segmentation.
@abhigoku10
If you want to change the resolution, what you need to do is only resize train and label image, then change the cfg file.
from yolo_segmentation.
@ArtyZe sure i shall do it , but any pointers/ references in changing the architecture that would be helpful
from yolo_segmentation.
@abhigoku10
Are you Chinese? I have written some docs in Chinese. If not, I will update it to readme file of this project this weekend :)
from yolo_segmentation.
@ArtyZe i am not chinese ,it would be helpful if you could share the readme based on ur time thanku
from yolo_segmentation.
@ArtyZe i want o use your https://github.com/ArtyZe/yolo_embedded_acceleration code , can you share the weights and cfg files to first test the working of the code
from yolo_segmentation.
Related Issues (20)
- Training : avg loss problems HOT 18
- Training for multiple classes HOT 4
- Change in architecture HOT 2
- Where is the main function HOT 1
- train error HOT 2
- CUDA Error: an illegal memory access was encountered with [logistic] HOT 1
- Can you share pretrained weights file HOT 5
- iSegmenter and Segmenter
- weights for tiny version HOT 3
- cfg和预训练权重文件、权重文件能提供一下吗?百度链接好像失效了
- have u consider of combine detection and segmentation? HOT 1
- Cannot open image file for trainning. HOT 1
- How to use multiple GPUs for training? HOT 2
- cityscapes have lane annotation?
- STB Reason:can't fopen
- GPU and CUDNN
- maskyolo data set?
- c++ how to use
- Output
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 yolo_segmentation.