However, most of the existing studies only focus on the defect detection methods using a single-modal image (RGB image or Thermal Infrared image). In order to detect surface and internal defects more ...

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 ...

This will create a folder where all intermediate results are stored so that you can find out where there are problems with your images, if any If you are familiar with Docker and don't feel like ...

Tile serving made easy Supports a wide variety of geospatial and medical image formats Convert to tiled Cloud Optimized (Geo)Tiffs (also known as pyramidal tiffs) Python methods for retiling or ...

Subsequently, the same methodology is anticipated to be employed to analyse RGB aerial images obtained by Unmanned Aerial Vehicles (UAVs). The Google Colab platform was used with the python language ...

Thus, this study aimed both to (i) verify whether high-throughput phenotyping by RGB ... all images were segmented into two groups, using the k-means clustering algorithm (MacQueen, 1967) with ...