项目作者: yoosan

项目描述 :
Inflated 3D ConvNets for video understanding
高级语言: Python
项目地址: git://github.com/yoosan/i3d-tensorflow.git
创建时间: 2018-01-10T09:42:05Z
项目社区:https://github.com/yoosan/i3d-tensorflow

开源协议:MIT License

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I3D-TensorFlow

This repo contains the inflated version of the recently popular ConvNets.

Convert weights from the pretrained model

DeepMind have provided the Inception-v1 inflated 3D model, building upon the sonnet. I slightly modified their code and rewrited the i3d model using the protogenetic tensorflow op. The pretrained weights from kinetics-i3d can be easily migrated to the new model.
To botain the weights from kinetics-i3d, execute the following instructions.

  1. $ git clone https://github.com/yoosan/i3d-tensorflow
  2. $ cd i3d-tensorflow
  3. $ git clone https://github.com/deepmind/kinetics-i3d
  4. $ python convert_weights.py

Training the I3D model on UCF101

Now I’m preparing the code for training model on the UCF101 dataset. Using the kinetics pretrained weights, we achive a result of 95.2% top-1 accuracy on split 1 of UCF101 with RGB modality.