Object detection and segmentation in TensorFlow
(Детектирование и сегментирование объектов в TensorFlow )
TensorBox is a simple framework for training neural networks to detect objects in images. Training requires a json file (e.g. here) containing a list of images and the bounding boxes in each image. The basic model implements the simple and robust GoogLeNet-OverFeat algorithm. We additionally provide an implementation of the ReInspect algorithm, reproducing state-of-the-art detection results on the highly occluded TUD crossing and brainwash datasets.
https://github.com/Russell91/TensorBox
#TensorFlow #detection
(Детектирование и сегментирование объектов в TensorFlow )
TensorBox is a simple framework for training neural networks to detect objects in images. Training requires a json file (e.g. here) containing a list of images and the bounding boxes in each image. The basic model implements the simple and robust GoogLeNet-OverFeat algorithm. We additionally provide an implementation of the ReInspect algorithm, reproducing state-of-the-art detection results on the highly occluded TUD crossing and brainwash datasets.
https://github.com/Russell91/TensorBox
#TensorFlow #detection