DeepLabCut — The Mathis Lab of Adaptive Intelligence
DeepLabCut™ is an efficient method for 2D and 3D markerless pose estimation based on transfer learning with deep neural networks that achieves excellent results (i.e. you can match human labeling accuracy) with minimal training data (typically 50-200 frames). We demonstrate the versatility of this framework by tracking various body parts in multiple species across a broad collection of behaviors.
Caffe Installation on OS X 10.12 (&Matcaffe) - complex small world
所用でcaffeを動かす必要が発生したため。 Mac OS Sierra 10.12.1 / OpenBLAS / Matlab 2015b (NO Cuda / NO Python) 実施日時2017/1/3 あくまで以下の自分の踏んだ道であり、他にベターなインストール方法があるのかもです。 基本的なインストールとMakefile.configについて まずCaffe公式を参考に。terminalからbrewを使って以下をインストール。 $ brew install -vd snappy leveldb gflags glog szip lmdb $ brew tap homebrew/science $ brew install hdf5 opencv また、今回はPython環境を使わないので以下のみ。 $ brew install protobuf boost BLASはOpenB
Caffe | Deep Learning Framework
Caffe Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research (BAIR) and by community contributors. Yangqing Jia created the project during his PhD at UC Berkeley. Caffe is released under the BSD 2-Clause license. Check out our web image classification demo! Why Caffe? Expressive architecture encourages application and innovat
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GitHub - BVLC/caffe at windows
GitHub - floydhub/dl-docker: An all-in-one Docker image for deep learning. Contains all the popular DL frameworks (TensorFlow, Theano, Torch, Caffe, etc.)
