Comments (3)
That is the dataset I used. The results will vary greatly with the batch size and not to mention the random seed. I set random seeds in the dataset preprocessing, but Caffe has its own random seeds I believe, so the iteration number may not be exactly the same. I trained for over 500k iterations, then used the testNet script to find the best one, which turned out to be iteration 220k.
from calc.
Thank you for your reply. I find the number of iterations is proportional to the size of the training set. I will try to set the number of iterations to 220k to verify the test results. The question is whether the batch size is the default(256) or another value, and I trained on one GPU.
from calc.
Sorry for the delay. The batch size we used to make the released model is 768 per GPU, and two GPUs for an effective batch size of 1536. This was chosen to saturate the memory of our Gtx1080 Ti GPUs.
from calc.
Related Issues (20)
- make error HOT 1
- implementation about the LA model HOT 3
- make error HOT 3
- landmark
- implementation about the landmark-based place recognition HOT 2
- compile DBoW2 error HOT 2
- Run testNet.py HOT 2
- deeplcd-test error HOT 2
- make error HOT 3
- BGR2YUV and YUV2BGR?
- What is the value of loss? HOT 3
- Using DeepLCD in LSD-SLAM HOT 3
- When I execute cmake .. && make in the build folder of DeepLCD I get the following error HOT 3
- make error HOT 9
- Docker support for managing dependencies HOT 1
- Cannot use GPU in CPU-only Caffe
- No Image received HOT 2
- Why HOG?
- gtest error HOT 2
- New File
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 calc.