Project for Computer Vision course.
It consists in a convolutional network that is able to determine the defectiveness or otherwise of a 3D printing from an image.
The model that is generated is saved locally on one's own computer. In addition, I have implemented the possibility of modifying the 'technical' parameters of the model via the command line (plus other things), without having to put a hand in the code.
Finally, there is the actual evaluation part, i.e. an evaluation in percentage and textual terms will be produced from an image.
Below there are some information about what you can find on the folders.
- Project Presentation.pdf
- Software.pdf: has more information about the software to run this code
- 3d (folder): the image dataset to create the model
- classification-images (folder): the image folder to test your model, load your photo here!
- Libraries (folder): container for the other files
- classification.py: the main file to run the code
- model.py: contain the code for model generation