A model which detects and interprets sign language in real time which reduces the communications barrier which exists between the deaf and hearing communities.

1. Python using Anaconda
2. Visual C++ Build Tools 2022 version
3. CUDA and CUDNN for Nvidia
4. Protoc
5. Tensorflow Object Detection API

Note : Make sure to check desktop development with C++ while installing

1. Install tensorflow model Tensorflow Models GitHub

2. Open cmd --> goto models\research folder and

   enter the following command

   protoc object_detection/protos/*.proto --python_out =. 

3. Copy the setup.py folder from object_detection/packages/tf2 folder into the research folder

4. To install all the dependencies needed for the object detection library, run

   python -m pip install .

We trained the model for 10000 steps

Python Tensorflow/models/research/object_detection/model_main_tv2.py --model_dir = Tensorflow/workspace/models/my_ssd_ mobnet -- 
pipeline_config_path = Tensorflow/workspace/models/my_ssd_mobnet/pipeline.config --num_train_steps = 10000 

Jihyeok Choi

Hyelim Yang

Pragati Singh

Rohit Chandra