Course curriculum

    1. Course trailer

      FREE PREVIEW
    2. MVP description

    3. Benefits of cloud deployment

    1. Introduction

    2. Setup Raspberry Pi

    3. Prevent overheating

    4. Install producer SDK C++

    5. RTSP camera

    6. AWS Access keys

    7. Stream video

    1. Data collection

    2. Create dataset

    3. Annotation strategy

    4. Create project and tasks in CVAT

    5. Create a pre-annotated task in CVAT

    6. Image annotation (from zero)

    7. Image annotation (from pre-annotated images)

    8. Export annotations and create dataset

    9. Train pose detector with Yolov8

    10. Evaluate training

    11. Make inferences

    12. Model weights

    1. Create dataset

    2. Curate dataset

    3. Produce new annotations

    4. Balance dataset

    5. Train model

    6. Train object detector with Yolov8

    7. Evaluate model

    8. Car and license plate detector - model weights

    1. Model definition

    2. Model indexing

    3. Function process_frame()

    4. Create SNS

    5. Launch EC2 + IAM role

    6. Install KVS Consumer SDK + SORT

    7. Integrate process_frame() function with consumer SDK

    1. License plate formats

    2. Simplify problem

    3. EU License plate classifier

    4. Get text from license plate

    5. Generate event video

    6. Send message to Pusher

    7. Lambda function setup

    8. Lambda function code

    9. Trigger Lambda function with SNS

About this course

  • 55 lessons
  • 5.5 hours of video content

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