---
# System prepended metadata

title: ASOT(无约束交通场景自动分析系统)
tags: [yuki]

---

#    ASOT(无约束交通场景自动分析系统)
*--Automatic analysis system of unconstrained traffic scene*

##    Dependencies(环境需求)
*    Python 3
*    PyTorch >= 1.1.0
*    NVIDIA GPU + CUDA
##    Python packages（安装库）
*    pip install（待续）

##    Preparation(准备)
###   [Get the code](https://github.com/yukichou/transport_ana)
```
git clone https://github.com/yukichou/transport_ana.git
or download zip transport_ana-master.zip & unzip
cd ./transport_ana-master
```
###    Download the .pth file 
* First you need to download the checkpoints.zip from the Baidu Drive(extraction code:1234) and unzip 
* the transport_ana file store pth in a file structure like this:
```
   transport_ana
   └───car_class
    │    └─checkpoints   
    │       └──epoch_39.pth
    └───reid
    │    └─backup
    │       └─resnet50_80.pth
    └───config
        │ yolov3.weights
        └-yolov3.weights.1
```
* you need to follow the file structure and move the .pth file to the right place
##    Usage（使用说明）
###    CAM mod
1. To use this system by compiling the python file:
```
python final_ui.py
```
2. Then a surface will raise ,it looks like below:
![](https://i.imgur.com/O4KhElu.png)

3. Before you push the CAM mod button , please use the File-open button which on the left-top corner to load the video you want to analyse.
![](https://i.imgur.com/5SG3hb1.png)

4. After loading the video , pushing the CAM button then it just works.

###    REID mod
1. The button besides the CAM mod is the REID mod (Vehicle RE-identification)
![](https://i.imgur.com/Jex7Xh4.png)
2. Load the car image you want to search and push the REID button , a sub-win show up :
![](https://i.imgur.com/gDsxzQf.png)
3. Cars from the gallery set are extracted from the previous video, after matching calculation, you will get the the most similar car that compare to the query car.

###### tags: `yuki`

