yolo_series_deepsort_pytorch VS segment-anything-video

Compare yolo_series_deepsort_pytorch vs segment-anything-video 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)
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yolo_series_deepsort_pytorch segment-anything-video
1 1
93 911
- -
0.0 6.1
over 1 year ago 5 days ago
Python Python
MIT License Apache License 2.0
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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.

segment-anything-video

Posts with mentions or reviews of segment-anything-video. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing yolo_series_deepsort_pytorch and segment-anything-video you can also consider the following projects:

deep_sort - Simple Online Realtime Tracking with a Deep Association Metric

anylabeling - Effortless AI-assisted data labeling with AI support from YOLO, Segment Anything, MobileSAM!!

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

yolov7_d2 - 🔥🔥🔥🔥 (Earlier YOLOv7 not official one) YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥

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

mmyolo - OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.

ScaledYOLOv4 - Scaled-YOLOv4: Scaling Cross Stage Partial Network

yolov8-face - yolov8 face detection with landmark

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

multimodal-maestro - Effective prompting for Large Multimodal Models like GPT-4 Vision, LLaVA or CogVLM. 🔥

PyTorch_YOLOv4 - PyTorch implementation of YOLOv4

inference - A fast, easy-to-use, production-ready inference server for computer vision supporting deployment of many popular model architectures and fine-tuned models.