|
--- |
|
license: apache-2.0 |
|
image: |
|
underwater laser imaging |
|
--- |
|
|
|
# StreakNet-Dataset |
|
|
|
**StreakNet-Dataset** is an underwater laser imaging dataset for **UCLR** systems. It comprises a collection of streak-tube images captured by a **UCLR** system at distances of 10m, 13m, 15m, and 20m. See the table below to learn more details of the dataset. |
|
|
|
|Distance|Number of streak-tube images|Resolution of streak-tube images|Data type|Training set|Validation set|Test set| |
|
|:---:|:---:|:---:|:---:|:---:|:---:|:---:| |
|
|10m|400|2048x2048|uint16|315,200|40,800|819,200| |
|
|13m|349|2048x2048|uint16|281,992|47,530|714,752| |
|
|15m|300|2048x2048|uint16|245,400|39,200|614,400| |
|
|20m|267|2048x2048|uint16|229,086|31,240|546,816| |
|
|
|
### Download |
|
|
|
You can download **StreakNet-Dataset** for free from [HuggingFace](https://huggingface.co/datasets/Coder-AN/StreakNet-Dataset) or [ModelScope](https://modelscope.cn/datasets/CoderAN/StreakNet-Dataset/) by Git. |
|
|
|
Firstly, install `git-lfs`. |
|
|
|
```sh |
|
curl -s https://packagecloud.io/install/repositories/github/git-lfs/script.deb.sh | sudo bash |
|
sudo apt update |
|
sudo apt install git-lfs |
|
sudo git lfs install --system |
|
``` |
|
|
|
Then, download **StreakNet-Dataset** in work directory of StreakNet. |
|
|
|
* From [HuggingFace](https://huggingface.co/datasets/Coder-AN/StreakNet-Dataset): For Global Users |
|
|
|
```sh |
|
cd StreakNet |
|
git clone https://huggingface.co/datasets/Coder-AN/StreakNet-Dataset ./datasets |
|
``` |
|
|
|
* From [ModelScope](https://modelscope.cn/datasets/CoderAN/StreakNet-Dataset): For Chinese Users |
|
|
|
```sh |
|
cd StreakNet |
|
git clone https://www.modelscope.cn/datasets/CoderAN/StreakNet-Dataset.git ./datasets |
|
``` |
|
|
|
### Organizational Structure |
|
|
|
After downloading **StreakNet-Dataset** from [HuggingFace](https://huggingface.co/datasets/Coder-AN/StreakNet-Dataset) or [ModelScope](https://modelscope.cn/datasets/CoderAN/StreakNet-Dataset/), you will see the following directory structure. |
|
|
|
```sh |
|
datasets |
|
|- clean_water_10m # The directory of data taken at a distance of 10m |
|
| |- data # Original streak images |
|
| | |- 001.tif |
|
| | |- 002.tif |
|
| | |- 003.tif |
|
| | |- ... |
|
| | |
|
| |- groundtruth.npy # The ground-truth of the final imaged image |
|
| |- preview.jpg # A preview of the ground-truth |
|
| |
|
|- clean_water_13m # The directory of data taken at a distance of 13m (has the same structure as 10m) |
|
|- clean_water_15m # The directory of data taken at a distance of 15m (has the same structure as 10m) |
|
|- clean_water_20m # The directory of data taken at a distance of 20m (has the same structure as 10m) |
|
|- template.npy # The 1-D time sequence of the template signal |
|
|- test_config.yaml # The config file of test-set |
|
|- train_config.yaml # The config file of training-set |
|
|- valid_config.yaml # The config file of validation-set |
|
``` |
|
|