AutoLabelImg：MultiFunction AutoAnnotate Tools

Based on labelImg, we add many useful annotate tools, in Annoatate-tools and Video-tools menu, including：

TOOL LIST：
Auto Annotate：anto annotate images using yolov5 detector
Tracking Annotate：using tracking method in opencv, annotate video data
Magnifing Lens：helpful when annotating small objects, optional function
Data Agument：data agument
Search System：search details info based on your input
other tools：label selecting/rename/counting, fix annotation, video merge/extract, welcome to try

seen in Vtuber:

2022.01.14：remove Retinanet( matain yolov5 only), and add label selecting when autolabeling

2022.01.11：imporve magnifing lens, more fluent and can be shut

2020.12.28：add video tracking annotate

2020.12.10：autolabelimg，version 1.0

Installation：

clone this repo：

git clone https://github.com/wufan-tb/AutoLabelImg
cd AutoLabelImg

install requirments：

conda create -n {your_env_name} python=3.7.6
conda activate {your_env_name}
pip install -r requirements.txt

compile source code：

Ubuntu User:

sudo apt-get install pyqt5-dev-tools
make qt5py3

Windows User:

pyrcc5 -o libs/resources.py resources.qrc

prepare yolov5 weights file and move them to here: [official model zoo:Yolov5]
```
mv {your_model_weight.pt} pytorch_yolov5/weights/
```
open labelimg software
```
python labelImg.py
```

Windows User:

create a file:labelImg.bat, open it and type these text(D disk as an example)：

D:
cd D:{path to your labelImg folder}
start python labelImg.py
exit

double click labelImg.bat to open the software.

Ubuntu User:

open environment setting file:

vim ~/.bashrc

add this command：

alias labelimg='cd {path to your labelImg folder} && python labelImg.py

source it：

source ~/.bashrc

typing 'labeling' in terminal to open the software.

{   AutoLabelImg,
    author = {Wu Fan},
    year = {2020},
    url = {\url{https://https://github.com/wufan-tb/AutoLabelImg}}
}