https://github.com/kumaarbalbir/barcode-detection-and-reading

The following repository is a result of assignment provided by the Robotics and Warehouse automation company Mowito.
https://github.com/kumaarbalbir/barcode-detection-and-reading

opencv-python python pyzbar yolov8

Last synced: 3 months ago
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The following repository is a result of assignment provided by the Robotics and Warehouse automation company Mowito.

• Host: GitHub
• URL: https://github.com/kumaarbalbir/barcode-detection-and-reading
• Owner: KumaarBalbir
• Created: 2023-03-15T16:51:49.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2023-09-20T08:44:27.000Z (over 1 year ago)
• Last Synced: 2023-09-20T20:37:02.612Z (over 1 year ago)
• Topics: opencv-python, python, pyzbar, yolov8
• Homepage:
• Size: 212 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# barcode-detection-and-reading

#### Note: Checkout the master branch. As of now, all the code is committed in that branch and is not merged to main. 

## Detects the products/items and barcode or QR code in images using opencv,pyzbar & YOLOv8.

For detailed approach, please visit here:

Google doc

### a. Key results 

* I tried to make bbox using only opencv. But it was very difficult to approximate the contours and make a convex hull around each item.

  ![Screenshot1](https://github.com/KumaarBalbir/barcode-detection-and-reading--Mowito/blob/master/supporting%20screenshots/draw%20contours.png) 

  

  ![Screenshot2](https://github.com/KumaarBalbir/barcode-detection-and-reading--Mowito/blob/master/supporting%20screenshots/draw%20convex%20hull.png) 

  

* I used pre-trained model YOLO version 8 but that model was not trained for custom object detection. So that didn't work.

* Augmented the sample images using labelImg library as there were very less number of images to train the YOLO model.

![Screenshot3](https://github.com/KumaarBalbir/barcode-detection-and-reading--Mowito/blob/master/supporting%20screenshots/labelImg_annotation.png)

* Trained the YOLO model on augmented images, and made inference:

![Screenshot4](https://github.com/KumaarBalbir/barcode-detection-and-reading--Mowito/blob/master/supporting%20screenshots/detected%20bbox%20custom%20yolo.png) 

* Barcode frequency with its value:

![Screenshot5](https://github.com/KumaarBalbir/barcode-detection-and-reading--Mowito/blob/master/supporting%20screenshots/barcode%20cnt%20ss.png) 

### b. For the remaining results do check the 'results custom yolov8' and  'supporting screenshots'  directory 

### c. To run this repository on your local system

* Clone this repository or download it. 

* make a virtual environment in python 3.7

* install the all libraries reqirements.txt

* Run yolo_custom.py file.

* You will see the 2 window as outcome: one will be input image.. another one will be output image..