pytorch-computer-vision-tutorial

This repertoire is a tutorial for first-time users of Pythorch. It consists of classification, expression, object detection, and gan.

Classification referred to the following paper.

[VGG] (https://arxiv.org/pdf/1409.1556.pdf)
Create a directory called dataset in the directory called classification, then insert data into the directory named for the objects.

The semantic segmentation referred to the following paper.

[U-net] (https://arxiv.org/pdf/1505.04597.pdf)

The object detection referred to the following paper.

[R-CNN] (https://arxiv.org/pdf/1311.2524.pdf)

Gan referred to the following paper.

[gan] (https://arxiv.org/pdf/1406.2661.pdf)

Only classifications are implemented at present, but we plan to complete them gradually.