Comments (4)
The key in the config file to be modified is curriculum_steps
. I explained how that works here. Also, in the cfgs
directory there are three different configs with polynomials of first, second and third order (e.g., tusimple_1order,yaml
).
from polylanenet.
Thank you very much.I solved the problem under your suggestion.I want to ask how to draw the training curve and what are the specific commands.Looking forward to your reply.
from polylanenet.
I will assume that by "training curve" you meant the loss curve. You can use the utils/plot_log.py
script for that.
from polylanenet.
@NARRZ and @lucastabelini I was looking for a deep learning model that can compute Lanes and their curvature in real-time and based on the image results I was interested in this implementation, May I know if I can use this for real-time Lane and curvature detection? I plan on using such approaches inside Carla Simulator. I hope to hear from you soon. Thanks.
from polylanenet.
Related Issues (20)
- A problem about sharing the top-y (h) in lib/models.py line 103 HOT 3
- The problem of predicting performance HOT 1
- Question about sharing the horizon HOT 4
- The question about LPD HOT 2
- A problem about the "curriculum_steps" in lib/models.py line 65 HOT 1
- A consultation on the GPU number HOT 3
- problem about speed HOT 2
- Check param count HOT 2
- How to train my own dataset? HOT 3
- What if we do not predict s and h HOT 1
- h_samples HOT 5
- poly_weight HOT 2
- Have you ever done experiments on CULane datasets? HOT 1
- Confidence Scores HOT 3
- from pt convert ONNX model HOT 4
- IndexError
- About testing on other Dataset HOT 1
- change you requirements version
- error encountered while testing
- Issue in testing
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 polylanenet.