Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

update README of traffic light ssd detector #191

Closed
wants to merge 1 commit into from
Closed

update README of traffic light ssd detector #191

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
18 changes: 13 additions & 5 deletions perception/traffic_light_ssd_fine_detector/README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -4,7 +4,19 @@

It is a package for traffic light detection using MobileNetV2 and SSDLite.

The trained model is based on [pytorch-ssd](https://github.com/qfgaohao/pytorch-ssd).
## Training Information

### Pretrained Model

The model is based on [pytorch-ssd](https://github.com/qfgaohao/pytorch-ssd) and the pretrained model could be downloaded from [here](https://storage.googleapis.com/models-hao/mb2-ssd-lite-mp-0_686.pth).

### Training Data

The model was fine-tuned on 1750 TierIV internal images of Japanese traffic lights.

### Trained Onnx model

- <https://drive.google.com/uc?id=1USFDPRH9JrVdGoqt27qHjRgittwc0kcO>

## Inner-workings / Algorithms

Expand Down Expand Up @@ -48,10 +60,6 @@ Based on the camera image and the global ROI array detected by `map_based_detect

## Assumptions / Known limits

## Onnx model

- <https://drive.google.com/uc?id=1USFDPRH9JrVdGoqt27qHjRgittwc0kcO>

## Reference repositories

pytorch-ssd github repository
Expand Down