Privacy-First CCTV System

Making a robust and secure IoT edge device framework for my senior project class.

Training YOLO

Download the dataset from Kaggle.
Place the dataset into the repo and run the convert_to_yolo.py script. There may be file pathing errors so ensure the dataset paths are as described in the python script editing either the path used in the python file or of the dataset. From here you can download your yolo versions weights from ultralytics and run the following:

yolo train model=\<your model weights\> data=face.yaml imgsz=640 epochs=100 batch=16

Name		Name	Last commit message	Last commit date
Latest commit History 45 Commits
bin		bin
builders/ccaas/bin		builders/ccaas/bin
config		config
kubo		kubo
peer-configs		peer-configs
platforms/hyperledger-fabric/releases/dev/flux-dev		platforms/hyperledger-fabric/releases/dev/flux-dev
resources		resources
security-framework		security-framework
surveillance-api		surveillance-api
surveillance-chaincode		surveillance-chaincode
yolo		yolo
README.md		README.md
chaincode.tgz		chaincode.tgz
channel.yaml		channel.yaml
code.tar.gz		code.tar.gz
connection.json		connection.json
install-fabric.sh		install-fabric.sh
kind-config-large.yaml		kind-config-large.yaml
kind-config.yaml		kind-config.yaml
kubectl		kubectl
kubo_v0.24.0_linux-amd64.tar.gz		kubo_v0.24.0_linux-amd64.tar.gz
metadata.json		metadata.json
midterm-poster.jpg		midterm-poster.jpg
surveillance-deployment.yaml		surveillance-deployment.yaml
throughput.png		throughput.png
ztf_vertical_workflow2.png		ztf_vertical_workflow2.png
ztf_workflow.png		ztf_workflow.png