https://github.com/578223592/culane-gt-visualization
用于CULane的真值可视化 Visualization of Ground Truth for CULane
https://github.com/578223592/culane-gt-visualization
Last synced: 4 months ago
JSON representation
用于CULane的真值可视化 Visualization of Ground Truth for CULane
- Host: GitHub
- URL: https://github.com/578223592/culane-gt-visualization
- Owner: 578223592
- License: mit
- Created: 2024-05-08T06:31:30.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-05-10T02:54:01.000Z (over 1 year ago)
- Last Synced: 2025-01-11T21:43:07.400Z (9 months ago)
- Language: Python
- Size: 9.77 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.en.md
- License: LICENSE
Awesome Lists containing this project
README
# CULane-gt-visualization
## Purpose
Visualization of ground truth for lane detection using the CULane dataset.
Output example:
## Usage
1. Clone this repository.
2. Prepare the CULane dataset, stored in a common way.
Here is how I organize it:
```
(base) xxx@xxxx:/small_datasets/swx/dataset/culane/unzip$ tree -L 1 ./
./
├── driver_100_30frame
├── driver_161_90frame
├── driver_182_30frame
├── driver_193_90frame
├── driver_23_30frame
├── driver_37_30frame
├── laneseg_label_w16
└── list
```
4. Modify the values of the input_folder and output_folder variables in the code. `input_folder` is the location of the CULane dataset, and `output_folder` is the location where you want to output the visualization results.
Here is how I do it:
```python
input_folder = '/small_datasets/swx/dataset/culane/unzip/'
output_folder = '/small_datasets/swx/dataset/culane/gt_vis/'
```
5. Run the code, and the results will be output in the `ouput_folder` directory, organized in the same way as the original dataset.
## Acknowledgements
- https://github.com/Claire-art/CULane-gt-visualization/blob/main/viscu.py