
WGAI Training and Recognition Platform V4.0 Officially Released: One-Stop Intelligent Training with Added GPU-OPENCL-CPU Processing for Training and Recognition!
🔥 🔥 🔥 WGAI Training and Recognition Platform V4.0 Officially Released: One-Stop Intelligent Training with Added GPU-OPENCL-CPU Processing for Training and Recognition!
🚫 Solemn Commitment: Permanently free! No commercial version! Only Knowledge Planet!
✨Major Updates
✅ Added decoding methods: GPU/NPU/CPU support for direct streaming media/camera access
✅ Added alarm-triggered video recording - Added video subscription configuration
✅ Added annotation memory - Quick annotation
✅ Updated front-end with new UI
📦 Next Version Preview
🚀 Reduced resource consumption with added iterative content
🚀 Added automatic annotation functionality
🖼️Effect Showcase
1. Added Decoding Methods

Feature Description: Supports configuring decoding acceleration via the platform interface - decoding methods include GPU/NPU/CPU
Technical Advantages:
Compatible with domestic chips, Intel, and NVIDIA GPU acceleration, decoding acceleration, and recognition acceleration
2. Added Multi-Dimensional Model Recognition for a Single Video Stream

Feature Description: A single video stream supports multi-model configuration for recognition.
Technical Highlights:
Improves accuracy through multi-model judgment and establishes direct model relationships
Example: Intrusion detection → intruder behavior detection → intruder identification
3. Added Alarm-Triggered Video Recording

Feature Description: Added alarm-triggered video recording, video push, and new UI content
Technical Breakthrough: Analysis results can be included in the recorded videos
4. New UI Color Scheme




4. Experience Now
Gitee Open Source Address: https://gitee.com/dromara/wgai
GitHub Open Source Address: https://github.com/dromara/wgai
Demo Address: http://1.95.152.91:9999/ Password: wgai wgai@2024
Demo Video: https://www.bilibili.com/video/BV13C9BYiEFS?t=38.4
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