Comments (1)
For my application I am using 10.7 GB, which also runs some other lightweight tasks. Id say maybe 10 GB is just the neural networks. Unfortunately, the face detection and lisence plate detection are each done by a single neural network. If you dont need "realtime" performance, you could try rebuilding the neural network graph for each task. This could somewhat reduce memory usage.
from anonymizer.
Related Issues (17)
- ssdlite models
- Segmentation fault while testing detector with pytest HOT 1
- ModuleNotFoundError: No module named 'anonymizer' HOT 11
- Add support for python 3.8 HOT 1
- Operation, 'image_tensor', does not exist in the graph HOT 20
- Error with downloading weights HOT 1
- Provide servable Graph defs?
- Model finetuning
- Create a simple gui
- Anonymizer on video file mp4 HOT 3
- Removing Metadata.
- protobuf Decode Error HOT 2
- Pretrained weights missing HOT 1
- Tensorflow & CUDA versions HOT 2
- RuntimeWarning HOT 1
- Errors after pytest HOT 2
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 anonymizer.