- yolo-tf2 VS Deep-SORT-YOLOv4
- yolo-tf2 VS Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning
- yolo-tf2 VS Beginner-Traffic-Light-Detection-OpenCV-YOLOv3
- yolo-tf2 VS deepsparse
- yolo-tf2 VS yolor
- yolo-tf2 VS FastMOT
- yolo-tf2 VS tensorflow-yolov4-tflite
- yolo-tf2 VS yolov4-custom-functions
- yolo-tf2 VS onnx-tensorflow
- yolo-tf2 VS xview-yolov3
Yolo-tf2 Alternatives
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Deep-SORT-YOLOv4
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Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning
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Beginner-Traffic-Light-Detection-OpenCV-YOLOv3
This is a python program using YOLO and OpenCV to detect traffic lights. Works in The Netherlands, possibly other countries
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deepsparse
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yolor
implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)
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FastMOT
High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀
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tensorflow-yolov4-tflite
YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.3.1, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite (by haroonshakeel)
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yolov4-custom-functions
A Wide Range of Custom Functions for YOLOv4, YOLOv4-tiny, YOLOv3, and YOLOv3-tiny Implemented in TensorFlow, TFLite, and TensorRT.
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xview-yolov3
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unsignedrant/yolo-tf2 is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of yolo-tf2 is Python.