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license: Apache License 2.0
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---
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数据集文件元信息以及数据文件，请浏览“数据集文件”页面获取。
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# StreakNet-Dataset
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**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.
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|Distance|Number of streak-tube images|Resolution of streak-tube images|Data type|Training set|Validation set|Test set|
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|:---:|:---:|:---:|:---:|:---:|:---:|:---:|
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|10m|400|2048x2048|uint16|315,200|40,800|819,200|
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|13m|349|2048x2048|uint16|281,992|47,530|714,752|
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|15m|300|2048x2048|uint16|245,400|39,200|614,400|
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|20m|267|2048x2048|uint16|229,086|31,240|546,816|
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### Download
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You can download **StreakData** for free at [ModelScope](https://modelscope.cn/datasets/CoderAN/StreakNet-Dataset/) by Git.
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Firstly, install `git-lfs`.
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```sh
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curl -s https://packagecloud.io/install/repositories/github/git-lfs/script.deb.sh | sudo bash
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sudo apt update
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sudo apt install git-lfs
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sudo git lfs install --system
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```
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Download **StreakNet-Dataset** in work directory of StreakNet.
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```sh
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cd StreakNet
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```
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### Organizational Structure
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After downloading **StreakNet-Dataset** from [ModelScope](https://modelscope.cn/datasets/CoderAN/StreakNet-Dataset/), you will see the following directory structure.
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```sh
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datasets
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|- clean_water_10m # The directory of data taken at a distance of 10m
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| |- data # Original streak images
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| | |- 001.tif
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| | |- 002.tif
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| | |- 003.tif
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| | |- ...
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| |- groundtruth.npy # The ground-truth of the final imaged image
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| |- preview.jpg # A preview of the ground-truth
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|- clean_water_13m # The directory of data taken at a distance of 13m (has the same structure as 10m)
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|- clean_water_15m # The directory of data taken at a distance of 15m (has the same structure as 10m)
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|- clean_water_20m # The directory of data taken at a distance of 20m (has the same structure as 10m)
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|- template.npy # The 1-D time sequence of the template signal
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|- test_config.yaml # The config file of test-set
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|- train_config.yaml # The config file of training-set
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|- valid_config.yaml # The config file of validation-set
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```
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