yolo_series_deepsort_pytorch VS yolov7

Compare yolo_series_deepsort_pytorch vs yolov7 and see what are their differences.

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 ). (by xuarehere)

yolov7

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors (by WongKinYiu)
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yolo_series_deepsort_pytorch yolov7
1 33
93 12,739
- -
0.0 3.2
over 1 year ago 3 days ago
Python Jupyter Notebook
MIT License GNU General Public License v3.0 only
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yolo_series_deepsort_pytorch

Posts with mentions or reviews of yolo_series_deepsort_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.

yolov7

Posts with mentions or reviews of yolov7. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-10-17.

What are some alternatives?

When comparing yolo_series_deepsort_pytorch and yolov7 you can also consider the following projects:

deep_sort - Simple Online Realtime Tracking with a Deep Association Metric

yolov3 - YOLOv3 in PyTorch > ONNX > CoreML > TFLite

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

edgetpu - Coral issue tracker (and legacy Edge TPU API source)

hcaptcha-challenger - 🥂 Gracefully face hCaptcha challenge with MoE(ONNX) embedded solution.

edgetpu-yolo - Minimal-dependency Yolov5 export and inference demonstration for the Google Coral EdgeTPU

segment-anything-video - MetaSeg: Packaged version of the Segment Anything repository

YOLOv4 - Port of YOLOv4 to C# + TensorFlow

ScaledYOLOv4 - Scaled-YOLOv4: Scaling Cross Stage Partial Network

darknet - Convolutional Neural Networks

deep_sort_realtime - A really more real-time adaptation of deep sort

XMem - [ECCV 2022] XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model