ScaledYOLOv4 VS deep_sort_pytorch

Compare ScaledYOLOv4 vs deep_sort_pytorch and see what are their differences.

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ScaledYOLOv4 deep_sort_pytorch
10 1
2,017 2,706
- -
0.0 0.0
10 months ago 7 months ago
Python Python
GNU General Public License v3.0 only MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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ScaledYOLOv4

Posts with mentions or reviews of ScaledYOLOv4. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-20.

deep_sort_pytorch

Posts with mentions or reviews of deep_sort_pytorch. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-20.

What are some alternatives?

When comparing ScaledYOLOv4 and deep_sort_pytorch you can also consider the following projects:

yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

yolov7 - Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

yolor - implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)

YOLOv6 - YOLOv6: a single-stage object detection framework dedicated to industrial applications.

darknet - YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

mmdetection - OpenMMLab Detection Toolbox and Benchmark

YOLOX - YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

yolo_series_deepsort_pytorch - Deepsort with yolo series. This project support the existing yolo detection model algorithm (YOLOV8, YOLOV7, YOLOV6, YOLOV5, YOLOV4Scaled, YOLOV4, YOLOv3', PPYOLOE, YOLOR, YOLOX ).

PPYOLOE_pytorch - An unofficial implementation of Pytorch version PP-YOLOE,based on Megvii YOLOX training code.