README.md

Air-mouse--gesture-control

Control your mouse pointer with natural hand gestures trained on Single Shot Detector built on MobileNet.

Outcome:

• Keep pinched for moving the mouse around
• Lift index finger for single click
• Lift index and middle finger together for double click

Loss over the Training period

Installation:

git clone https://github.com/wolf-hash/Air-mouse--gesture-control.git
cd Air-mouse--gesture-control

Install Preliminaries

Object Detection API (Required):

    mkdir API
    cd API
    git clone https://github.com/tensorflow/models.git
    cd models/research
    protoc object_detection/protos/*.proto --python_out=.
    cp object_detection/packages/tf2/setup.py .
    python -m pip install --use-feature=2020-resolver .

Install model of choice from Tensorflow Zoo (Only for training):

 Go to https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/tf2_detection_zoo.md
 Download model of choice
 Single Shot Detector of MobileNet(320x320) is given in the pre-trained directory, however one can experiment on different models.
 Extract it to Air-mouse--gesture-control/pre-trained

Install LabelImg for labelling custom dataset (Only for training):

Link - https://github.com/tzutalin/labelImg

   git clone https://github.com/tzutalin/labelImg

For Linux:

    sudo apt-get install pyqt5-dev-tools
    sudo pip3 install -r requirements/requirements-linux-python3.txt
    make qt5py3
    python3 labelImg.py

Run from pretrained model:

    conda create -n airmouse pip python=3.7.6
    conda activate airmouse
    pip install -r requirements.txt
    
    python main.py