Fast Image Annotation Tool,用于深度学习的免费图像标注工具
项目描述
FIAT 0.7(快速图像注释工具)
FIAT 是基于 Visual Studio 2022 用 C# WPF 开发的免费图像标注工具,
当前版本支持标注分类数据集,并提供 PyTorch 数据集加载器。
开发环境
- 视觉工作室 2022
- 微软 .NET 6
安装
pip install fiat-tool
下载
参考
演示
- 分类
菜单
<中心>不 | 功能 | 不 | 功能 |
---|---|---|---|
1 | 打开图片文件夹 | 2 | 保存数据集 |
3 | 添加目标标签 | 4 | 删除目标标签 |
5 | 添加标签 | 6 | 删除标签 |
7 | 全部添加标签 | 8 | 全部删除标签 |
9 | 上一张图片 | 10 | 下一张图片 |
11 | 进度条 |
快捷键
快捷键 | 功能 |
---|---|
F1~F12 | 使用该索引处的目标标签标记图像 |
Ctrl+S | 保存所有标签信息 |
Ctrl+O | 打开图片文件夹 |
Up | 上一张图片 |
Down | 下一张图片 |
PyTorch 训练循环示例
from fiat_tool.FIATClassificationDataset import FIATClassificationDataset
from torch.utils.data import DataLoader
batch_size = 1
training_epochs = 1
datasets = FIATClassificationDataset('C://Github//FIAT//example_dataset//food//',
label_height=224,
label_width=224,
isColor=True,
isNorm=False)
data_loader = DataLoader(datasets, batch_size=batch_size, shuffle=True)
for epoch in range(training_epochs): # 앞서 training_epochs의 값은 15로 지정함.
avg_cost = 0
avg_acc = 0
total_batch = len(data_loader)
for x_input, y_input in data_loader:
print('x_input shape = ', x_input.shape)
print('y_input shape = ', y_input.shape)
print('Training loop finished')
C:\Python\python.exe C:/Github/FIAT/python/torch_classification_FIATC_test.py
{'Color': '#FFFF0000', 'Name': 'Bread'}
{'Color': '#FF008000', 'Name': 'Pizza'}
{'Color': '#FFFFFFFF', 'Name': 'Hamburger'}
{'Color': '#FFF79646', 'Name': 'Chicken'}
x_input shape = torch.Size([1, 3, 224, 224])
y_input shape = torch.Size([1, 4])
x_input shape = torch.Size([1, 3, 224, 224])
y_input shape = torch.Size([1, 4])
结构
分类
- __target_info.json
- 包含代表标签信息的文件
[
{
"Color":"#FFFF0000",
"Name":"Bread"
},
{
"Color":"#FF008000",
"Name":"Pizza"
},
{
"Color":"#FFFFFFFF",
"Name":"Hamburger"
},
{
"Color":"#FFF79646",
"Name":"Chicken"
}
]
- (每个文件).json
- 包含有关图像的用户标记信息的文件。
{
"FileName":"1_1_bread.jpg",
"FilePath":"C:\\Users\\Fiat\\Desktop\\food\\1_1_bread.jpg",
"ClassCollection":[
{
"Color":"#FFFF0000",
"Name":"Bread"
}
]
}
The MIT License (MIT)
Copyright (c) 2022-present FIAT Development Team
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.