适用于新系统UI的哔哩

M. Beyeler (2017). Machine Learning for OpenCV: Intelligent image processing with Python. Packt Publishing Ltd., ISBN 978-178398028-4.

Notes about courses Dive into Deep Learning by Mu Li

A series of basic algorithms that are useful for video understanding, including Single Object Tracking (SOT), Video Object Segmentation (VOS) and so on.

Computer vision based vehicle detection and tracking using Tensorflow Object Detection API and Kalman-filtering

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…

A simple implementation of Kalman filter in single object tracking

此代码用于目标检测，模型小，检测速度快速，适合没GPU显卡的嵌入式设备运行，比如“树莓派”、ARM开发板、嵌入式开发板。

tensorboard for pytorch (and chainer, mxnet, numpy, ...)

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

Debugging, monitoring and visualization for Python Machine Learning and Data Science

yolov5 + csl_label.(Oriented Object Detection)（Rotation Detection）（Rotated BBox）基于yolov5的旋转目标检测