Comments (1)
It runs with 400 fps+ on a RTX 2080 Ti in half precision but you should be able to get significantly more fps even on your hardware. Did you try to predict or train?
I'm afraid you would have to retrain the network to your new bounds if replacing them. I had the same problem in the beginning when tracking sequences, but adding random offsets and scales to the landmarks during training und thus slightly modifying the crops did it. In this case. I might be able to retrain a network of dlbis face detector, but this should only take 3 hours.
EDIT:
Towards the Speed Issue:
I just benchmarked again with a GeForce GTX 980, 6GB also with cuda-9 (9.2), which is the most similar GPU to the GTX960M, I was able to find.I got about 120 FPS on both full and half precision.
My first random guess: Your GPU isn't fully utilized, since you have a bottleneck on your CPU providing the data.
from shapenet.
Related Issues (20)
- Config reading error: 'str' object has no attribute 'items' HOT 3
- A trainging problem HOT 1
- error for prediction: reading weights HOT 7
- question: how to get values of training losses HOT 2
- question: About the number of PCA components HOT 1
- installation error HOT 4
- question about predict HOT 6
- Invalid syntax error HOT 12
- Cat-landmark detection HOT 4
- Embed in mobile as dlib HOT 1
- wrong angle HOT 3
- delira.training.PyTorchNetworkTrainer missing argument HOT 7
- Prediction time compared with dlib HOT 5
- error while training HOT 4
- error in script predict_from_net.py HOT 3
- Grayscale faces HOT 2
- tf.train.Optimizer error HOT 1
- problem with prediction HOT 3
- pretrained weights, link broken.
- Training Question HOT 3
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 shapenet.