This is the offical implementation of the paper "A Multi-Modal Fusion-Based 3D Multi-Object Tracking Framework With Joint Detection " Firstly, a new multi-object tracking framework is proposed in this ...
The AI revolution has already transformed how we write and code. But the next massive technological frontier isn't happening behind a screen—it’s happening in the physical world. From robotic arms ...
Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...
Integrating Visual Sensing and Machine Learning for Advancements in Plant Phenotyping and Precision Agriculture ...
Robust multi-target multi-scale tomato leaf disease detection for precision agriculture applications
Current deep learning–based multi-object detection methods have been widely applied in crop disease identification, weed detection, and pest monitoring. Nevertheless, spatial correlation among disease ...
3. Object Oriented Programming (OOP) Do not skip this. Every ML framework uses OOP. When you call model.fit (), you are using an object method. Understanding classes helps you read library source code ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results