GitHub / ajithvcoder / Multivideo_Objectdetection_MLOPS_Project

Multi video offline streaming and Yolov8 object detection with Kafka, torch serve, AWS EC2

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PURL: pkg:github/ajithvcoder/Multivideo_Objectdetection_MLOPS_Project

Stars: 2
Forks: 1
Open issues: 0

License: mit
Language: Jupyter Notebook
Size: 93 MB
Dependencies parsed at: 27

Created at: over 1 year ago
Updated at: 12 months ago
Pushed at: over 1 year ago
Last synced at: 5 months ago

Topics: aws-ec2, confluent-kafka, flask, flask-socketio, mongodb, onnx, streaming, torchserve, yolov8

Dockerfile docker

pytorch/torchserve latest build

docker-compose.yml docker

mongo latest

kafka/docker-compose.yml docker

confluentinc/cp-server latest
confluentinc/cp-zookeeper latest

producer/Dockerfile docker

python 3.10-slim build

producer/requirements.txt pypi

confluent-kafka ==2.3.0
opencv-python *

requirements.txt pypi

Flask ==3.0.1
Flask-Cors ==4.0.0
confluent-kafka ==2.3.0
dvc ==3.43.1
ensure ==1.0.2
flask-socketio ==5.3.6
joblib ==1.3.2
notebook *
numpy ==1.24.3
onnx ==1.15.0
onnxruntime ==1.17.0
pandas ==2.2.0
pyYAML ==6.0
pymongo ==4.6.1
python-box ==6.0.2
scipy ==1.12.0
torch *
tqdm ==4.66.1
types-PyYAML *
ultralytics ==8.1.9

setup.py pypi