Control Google's dinosaur game with your hands from webcam.
With Deep Learning.

When you run python3 camera.py command, program will open game page and start itself.

python3 train.py

1. Run Python(Python Interpreter) command in repo with Terminal.

2. Import create_data function from camera.py with from camera import create_data command.

3. Run create_data(<Label>, <Size>)
   -- Label must be 1(jump) or 0(not jump)
   -- Size: How much image you want to save.
   Note: You must add 1 and 0 database before run program.

4. Now program will take your photos and save into Data/Train_Data/<Label> folder.

5. Optional: If you want to convert photos to numpy file run this command: from get_dataset import get_dataset; get_dataset()

tensorboard --logdir=Data/Checkpoints/logs

• Input Data Shape: 150x150x3

• Convolutional Layer 64 filter Filter shape: 3x3 Strides: 1x1

• Activation Function: ReLu

• Convolutional Layer 64 filter Filter shape: 3x3 Strides: 1x1

• Activation Function: ReLu

• Max Pooling Pool shape: 2x2 Strides: 2x2

• Convolutional Layer 128 filter Filter shape: 3x3 Strides: 1x1

• Activation Function: ReLu

• Max Pooling Pool shape: 2x2 Strides: 2x2

• Flatten

• Dense Size: 128

• Activation Function: ReLu

• Dropout Rate: 0.5

• Dense Size: 2

• Activation Function: Sigmoid

• Used Python Version: 3.6.0

• Install OpenCV for Python.

• Install necessary modules with sudo pip3 install -r requirements.txt command.