Set up the dataset from the above link, install the pip requirements and run python3 PlantDetector.py.

Hence we proposes a semi-supervised retinal image classification method by a Hybrid Graph Convolutional Network (HGCN). This HGCN network designs a modularity-based graph learning module and ...

This work presents a framework based on adaptive graph convolution network (AGCN) to process both 2D and 3D facial landmarks extracted from the input RGB image. The network has a two-streams ...

Apply text watermarks to images in various patterns (diagonal, horizontal, vertical, random, cross-diagonal) Process single images/pdf or recursively process directories (pdf output isn't available ...