CANN SDK for Computer Vision and NLP Pipelines Training Course

Introduction to CV/NLP Deployment with CANN for Government

• Overview of the AI model lifecycle from training to deployment for government applications
• Key performance considerations for real-time computer vision (CV) and natural language processing (NLP) in public sector operations
• Overview of CANN SDK tools and their role in integrating models for government use cases

Preparing CV and NLP Models for Government

• Exporting models from PyTorch, TensorFlow, and MindSpore for government applications
• Handling model inputs/outputs for image and text tasks in public sector environments
• Using ATC to convert models to OM format for efficient deployment in government systems

Deploying Inference Pipelines with AscendCL for Government

• Running CV/NLP inference using the AscendCL API for government operations
• Preprocessing pipelines: image resizing, tokenization, and normalization for government data
• Postprocessing: generating bounding boxes, classification scores, and text output for government reports

Performance Optimization Techniques for Government

• Profiling CV and NLP models using CANN tools to ensure optimal performance in government systems
• Reducing latency with mixed-precision and batch tuning for efficient public sector operations
• Managing memory and compute resources for streaming tasks in government applications

Computer Vision Use Cases for Government

• Case study: object detection for smart surveillance in government facilities
• Case study: visual quality inspection in manufacturing processes for government contracts
• Building live video analytics pipelines on Ascend 310 for enhanced public safety and security

NLP Use Cases for Government

• Case study: sentiment analysis and intent detection in citizen feedback for government services
• Case study: document classification and summarization for regulatory compliance in government agencies
• Real-time NLP integration with REST APIs and messaging systems to improve public sector communication

Summary and Next Steps for Government