Features:

Viewport object detection
Render Target object detection
Texture 2D Object Detection
Async run
Manual run via Blueprtin functions
CPU
GPU (DirectML)

Code Modules:

Yolo4Unreal - Runtime

Number of Blueprints: 2

Number of C++ Classes: 5

Network Replicated: No

Supported Development Platforms:

Windows

Supported Target Build Platforms: Windows

Documentation Link: https://docs.google.com/document/d/1tjOdozcPtvrrQQdyMlYUpPGsIOihSBQRsJOjr4ZfkMs/edit?tab=t.0#heading=h.70hr163222on

Important/Additional Notes: Please note this is still an experimental plugin to allow you to start your journey with Yolo object detection.Publication / Attribution

-------------------------

YOLOv4: Optimal Speed and Accuracy of Object Detection

Alexey Bochkovskiy, Chien‑Yao Wang, Hong‑Yuan Mark Liao

References

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The original ONNX model was converted from hunglc007/tensorflow‑yolov4‑tflite.

Copyright © 2021 ONNX Project Contributors

Licensed under the Apache License, Version 2.0 (http://www.apache.org/licenses/LICENSE-2.0)Training images are from the COCO dataset (CC‑BY 4.0, © 2014–2017 COCO consortium).

Labrintine Ltd

Labrintine Ltd

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