RFCN implementation in TensorFlow
-
Updated
Dec 26, 2017 - Python
RFCN implementation in TensorFlow
code for py-R-FCN-multiGPU maintained by bupt-priv
RFCN implement based on Keras&Tensorflow
Self Maintained Caffe. In this version Faster-RCNN, RFCN needs layer are fully supported!
An unofficial implementation of Consistency-Based Semi-Supervised Learning for Object Detection method in Detectron2
Enables the use of TensorFlow for object identification via UI interface or via POST requests. Using Python FastAPI, TensorFlow, IntelIA TensorFlow-Serving, R-FCN and Docker
Rfcn for ncnn framework
fastercnn modules optimize
Add a description, image, and links to the rfcn topic page so that developers can more easily learn about it.
To associate your repository with the rfcn topic, visit your repo's landing page and select "manage topics."