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.

  

• 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.

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

• Barcode frequency with its value:

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..