http://blog.hubwiz.com/2024/12/28/slowfast-explained/ Webbslow 用来提取静态的特征, fast 用来提取动态的特征 datalayer: 对视频进行采样, 用不同stride值得到不同帧的数据 64帧图像组成的视频,通过data layer后 - slow 的 stride 为 …
深度学习视频理解(分类识别)算法SlowFast原理解读
Webb26 feb. 2024 · slowfast实现动作识别,并给出置信率 用框持续框住目标,并将动作类别以及置信度显示在框上 最终效果如下所示: 视频AI行为检测 二、核心实现步骤 1.yolov5实现目标检测 “YOLO”是一种运行速度很快的目标检测AI模型,YOLO将对象检测重新定义为一个回归问题。 它将单个卷积神经网络 (CNN)应用于整个图像,将图像分成网格,并预测每个 … WebbThe slowFastVideoClassifier object is a SlowFast video classifier pretrained on the Kinetics-400 data set with a ResNet-50 3-D convolutional neural network (CNN). You can use the pretrained video classifier to classify 400 human actions such as running, walking, and shaking hands. theories in quantum physics
PaddleVideo/slowfast.md at develop · PaddlePaddle/PaddleVideo
Webb10 okt. 2024 · 一、核心功能设计. 总的来说,我们需要能够实现实时检测视频中的人物,并且能够识别目标的动作,所以我们拆解需求后,整理核心功能如下所示:. yolov5实现目 … WebbOur model involves (i) a Slow pathway, operating at low frame rate, to capture spatial semantics, and (ii) a Fast pathway, operating at high frame rate, to capture motion at fine temporal resolution. The Fast pathway can be made very lightweight by reducing its channel capacity, yet can learn useful temporal information for video recognition. WebbPySlowFast is an open source video understanding codebase from FAIR that provides state-of-the-art video classification models with efficient training. This repository includes implementations of the following methods: SlowFast Networks for Video Recognition Non-local Neural Networks A Multigrid Method for Efficiently Training Video Models theories in reading comprehension