Since the MaskRCNN-benchmark of facebook is deprecated, we suggest to use our mmdetection based res2net for object detection and instance segmentation to get the SOTA ...

This guide outlines a detailed process for setting up the hardware, configuring the software, and implementing Python-based object detection, counting, and positional tracking. By using pre-built ...

such as panoramic segmentation. However, DETR, a method that uses object queries matching, usually requires high costs when performing intensive detection. There are many ways to improve DETR, such as ...

This is an implementation of Mask R-CNN on Python 3, Keras, and TensorFlow ... It includes code to run object detection and instance segmentation on arbitrary images. train_shapes.ipynb shows how to ...

Abstract: The National Renewable Energy Laboratory (NREL) Python panel-segmentation package is a toolkit that ... This model was used to perform object detection on satellite imagery, locating and ...

The OpenCV and OpenMP Python packages were used for general computer ... Detectron2 can perform multiclass object detection or segmentation, meaning that objects are both detected/segmented and ...