TE_AICUP

This is the sensor parameter detection project of TE AI CUP

This project is to test the position, force, speed and other parameters of the crimping machine to determine whether the product is qualified for crimping.

The project mainly consists of two parts, the GUI interface made by PyQT5 and the neural network model based on PyTorch.

The CORE code for inference is in the CORE folder, containing both preprocessing and inference files. Trained models are among them.

The rest of the code contains the QT interface, scripts for data retrieval, and main functions.

Dependency libraries mainly contain：

python==3.8.0
pytorch==1.4.0
pyqt5==5.15.0
numpy==1.19.2
requests==2.23.0
BS4==4.9.0
matplotlib = 3.2.1
scipy = 1.4.1