README.md

Cut Nest Print

Automatic solution for compact placement of images for printing. Made on Python, based on Django3.

Allows two databases .sqlite3 to fast import data from the website. Holds all items of clothes devides by topics (fashions).

Each product maintains its own set of cuts- .tiff files, divided by size.

When the products are selected for nesting, the contours of each cut are created and saved in .svg files. Uses the OpenCV computer vision library to build outlines of cuts (see helpers.py). Then the files are passed to Deepnest automatically by uploading to specific folder, where the nesting is done. The output is a .json file that contains the coordinates of the positions of each part. By "Finish apportionment" button .tiff background is created, and each detail is laid out on it through a contour mask of itself, according to the coordinates obtained from .json The finished file with the apportionment is compressed, uploaded into the Dropbox and sent to production by email using the "Send by mail" button. By clicking the "Confirm order" button, the information about the order is saved in the database. Using Bootstrap4 for styling.