AR-ResNet-MSR

Action Recognition using Resnet on MSR 3d Activity dataset

Dataset

MSR Activity dataset contains real world co-ordinates and local camera co-ordinates. We make use of both of them.

• Load data for training using load_dataset()
• Requires 3 numpy files containing real world co-ordinates, local co-ordinates and the labels
• Each of the files should be a 4D-array -> (N x T x Joints x 3)

Model

Choose model from ResNet18, ResNet34;

• ResNet50 and above do not work with embedded devices due to want for memory.

Training

Running the train.py will run the model and return the top-1 accuracy of the model on the test and the training set.