MachineLP / PyTorch_video_classifier

video recognition

ref： https://github.com/jfzhang95/pytorch-video-recognition

ref：https://github.com/dmlc/gluon-cv

Installation

The code was tested with Anaconda and Python 3.5. After installing the Anaconda environment:

0. Clone the repo:

   git clone https://github.com/MachineLP/Pytorch_video_classifier.git
   cd Pytorch_video_classifier

1. Install dependencies:

   For PyTorch dependency, see pytorch.org for more details.

   For custom dependencies:

   conda install opencv
   pip install tqdm scikit-learn tensorboardX

2. Download pretrained model from BaiduYun or GoogleDrive. Currently only support pretrained model for C3D.

3. Configure your dataset and pretrained model path in mypath.py.

4. You can choose different models and datasets in train.py.

   To train the model, please do:

   python train.py

5. inference To infer the model, please do:

   python inference.py