Skip to content

Latest commit

 

History

History
22 lines (18 loc) · 678 Bytes

README.md

File metadata and controls

22 lines (18 loc) · 678 Bytes

3D-PrintingFailureDetection

YOLOV8 Model for 3D Print Failure detection

This is a Computer Vision Model created for finding and detecting failed 3D Prints.

Uses a self made dataset that comprises of successful and failed 3d prints

Sample Images from the Dataset

Sample of Image used in the dataset

###Dataset link (in repository)

Running the YOLOV8 Model

  • Setup Environment
# Specify Python version
python3.10 -m venv env
source env/bin/activate
  • Run the print_failure_detection.py
python print_failure_detection.py