fastercnn modules optimize
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Updated
Nov 29, 2023 - C++
fastercnn modules optimize
Rfcn for ncnn framework
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 implement based on Keras&Tensorflow
Self Maintained Caffe. In this version Faster-RCNN, RFCN needs layer are fully supported!
code for py-R-FCN-multiGPU maintained by bupt-priv
RFCN implementation in TensorFlow
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