# CCTDecode

**Repository Path**: gapyanpeng/CCTDecode

## Basic Information

- **Project Name**: CCTDecode
- **Description**: https://github.com/poxiao2/CCTDecode.git
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-03-19
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

CCTDecode 
=============== 

 Detect and decode the CCT (Circular Coded Target). <br>

Requirements: 
---------------- 

<1> python 3.7 (I don't know whether other python version would work correctly, you can have a try.) <br>
<2> opencv-python <br>
<3> pillow <br>
<4> numpy <br>
<5> matplotlib <br>
<6> progress <br>
<7> ... (maybe others, you can follow the error infomation to 'pip install xxx' them.) <br>
 
The main function is listed as following:
-----------------------------------------

1. Draw CCT images: DrawCCT.py <br>
   usage: <br>
   ``` c
   <1> cd root_path 
   <2> python DrawCCT.py --bit_n=9 --size=400      
   ```
![Image text](https://github.com/poxiao2/image-store/blob/master/CCT/cct12_1.png)
   
2. Detect and decode CCT: CCTDecodeRelease.py <br>
   which can decode CCT from the signal image, or you can use it to decode the CCT images in the same folder. <br>
   usage: <br>  
   ``` c
   <1> cd root_path    
   <2> python CCTDecodeRelease.py --filename=cct12_6.png 
                                  --bit_n=12                                        
                                  --threshold=0.7   //for single image                                        
       python CCTDecodeRelease.py --bach=True 
                                  --bit_n=8                              
                                  --save_folder=./result/                                    
                                  --threshold=0.93   //for images in same folder 
     ```                                   
![Image text](https://github.com/poxiao2/image-store/blob/master/CCT/cct12.png)

Actually, there are some args are default value which can be ignored if you follow my data construction. The whole args are listed as follows: <br>
``` c
   bach=False, // bach processing 
   bit_n=12,   // the bit number of CCT image 
   filename=None,  // image name 
   save_folder='./result/',  // the folder for saving the processed images 
   src_folder='./data/',  // the folder which contains the source images 
   threshold=0.8   // the threshold for CCT detecion, which is between 0 and 1. 
```
So, you can change these args as you whish. But remember to write it correctly and don't foget the '--' before each arg. <br>

3. Decode CCT from video: DecodeCCTFromVideo.py <br>
   usage: <br>
   ``` c
   <1> cd root_path 
   <2> python DetectCCTFromVideo.py --bit_n=12 --threshold=0.7     
   ```                                 
![Image text](https://github.com/poxiao2/image-store/blob/master/CCT/CCT.gif)