Action-Recognition-in-the-Wild

Execution Flow

Dataset preparation

1. Acquire data set UCF 101
2. Update the 'dataPath' variable
3. Run the dataset preparation file using python3.
4. Now you'll have frames and optical flow corresponding to each video.

Testing and Training:

Before executing the testing and training steps please refer to installation guide and install the required modules. The 2 models (Two Stream and Encoder-Decoder ) can be executed using the files provided under the Models folder.

Two Stream

After preparing the data, open Model_two_stream file found in the Model folder.

Encoder-Decoder

After preparing the data, open Model_ED file found in the Model folder.

Prediction

The predictions can be made by running the try and try_ed file.

OUTPUT

After running all of the above mentioned scripts, you will have a final average training accuracy at the end which will be of that models