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Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现

Add attention blocks such as cbam, se. Add deep sort, sort and some tracking algorithm using opencv

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2019年最新总结，阿里，腾讯，百度，美团，头条等技术面试题目，以及答案，专家出题人分析汇总。

Guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

All Algorithms implemented in Python

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

FCOS: Fully Convolutional One-Stage Object Detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

谷歌访问助手破解版

A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.

A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".

Datasets, Transforms and Models specific to Computer Vision

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

Faster RCNN with PyTorch

A simplified implemention of Faster R-CNN that replicate performance from origin paper