(Please read through instruction) – using yolov8 with embedded ResNet to detect human pose

  1. Report format: Write a report with >1,500 words including main sections: a) abstract, b) introduction, c) method, d) experiment, e) conclusion, f) bonus points (see below) and g) references. You can follow the paper format as e.g leading machine learning journals such as Journal of Machine Learning Research (http://www.jmlr.org/) or IEEE Trans. on Pattern Analysis and Machine Intelligence (http://www.computer.org/web/tpami), or leading conferences like NeurIPS (https://papers.nips.cc/) and ICML (http://icml.cc/2016/?page_id=151).
  2. All code is required
  3. Cifar-10 Dataset: https://www.cs.toronto.edu/~kriz/cifar.html
  4. Using PyTorch for this assignment (https://pytorch.org)
  5. Related projects:
    1. http://cs230.stanford.edu/projects_spring_2021/reports/45.pdf
    2. ResNet: https://paperswithcode.com/method/resnet
    3. Pose Yolov8: https://docs.ultralytics.com/tasks/pose/

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