Deploying a YOLOv7 detecting American Sign Language (ASL) on Intel RealSense
Training YOLOv7:
Open the notebook:
Sign_Language_Training_on_Custom_Data.ipynb
!python train.py --batch 8 --epochs 200 --data /yolov7/American-Sign-Language-Letters/data.yaml \
--weights '/yolov7/runs/train/exp11/weights/best.pt' \
--device 0 --img 640 640 --cfg '/cfg/training/yolov7.yaml'
Training Modified ResNet18:
image_classification.ipynb
Testing yolov7 - Camera or Image upload:
test_yolo.py
Testing Modified Resnet - Camera or Image upload:
test_resnet.py
(Note some of them might not be needed depending on the application)
inside yolov7 jupyter notebook, run the command to install dependencies from Requirements.txt.
pip install pyrealsense2
pip3 install requests
pip install Pillow==6.1
pip install pandas
pip3 install torch torchvision torchaudio
pip install tqdm
pip install pyyaml
python -m pip install -U matplotlib
pip install seaborn
pip install scipy
pip install nvidia-pyindex
pip install --upgrade nvidia-tensorrt
pip install pycuda
pip install protobuf<4.21.3
pip install onnxruntime-gpu
pip install onnx>=1.9.0
pip install onnx-simplifier>=0.3.6
pip install nvidia-pyindex
pip install onnx-graphsurgeon
pip install jupyter
pip install ipywidgets widgetsnbextension pandas-profiling
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