Computer Science - Computer Vision and Pattern RecognitionWith nearly one billion online videos viewed everyday, an emerging new frontier in computer vision research is recognition and search in video. While much effort has been devoted to the collection and annotation of large scalable static image ...
这里就不再赘述,直接贴上源代码了。 from__future__importprint_function,divisionimportosimporttorchimportpandasaspdfromskimageimportio,transformimportnumpyasnpimportrandomimporttorchimportmatplotlib.pyplotaspltfromtorch.utils.dataimportDataset,DataLoaderfromtorchvisionimporttransforms,utils# Ignore warningsimportwarnings...
UCF101 - Action Recognition Dataset行为识别数据集UCF1011.OverviewUCF101 is an action recognition data set of realistic action videos, collected from YouTube, having 101 action categories. This data set is an extension of UCF50 data set which has 50 action categories.With 13320 videos from 101 ...
🐛 Bug UCF101 dataset returns a RunTimeError when combined with standard DataLoader class. It returns the error when trying to stack multiple tensors in batches. To Reproduce import torchvision.datasets as datasets import torchvision.tran...
UCF101是一个动作识别数据集,该数据集包含从YouTube上收集的共101个动作类别的视频。该数据集是 UCF50 数据集的扩展(50个动作类别)。 UCF101共具有101动作类、13320个视频,具有较大的多样性,并且在摄像机运动、物体外观和姿态、物体尺度、视点、杂乱背景、光照条件等方面存在较大的差异,是比较具有挑战性的数据。
UCF101是从YouTube收集的具有101个动作类别的真实动作视频的动作识别数据集。 该数据集是UCF50数据集的扩展(其中包含50个操作类别)。 PaddleTalent 8枚 CC0 809 801 2020-08-10 详情 相关项目 评论(1) 创建项目 数据集介绍 UCF101拥有来自101个动作类别的13320个视频,在动作方面具有最大的多样性,并且在摄像机...
[1] Khurram Soomro, Zamir A R, Shah M. UCF101: A dataset of 101 human actions classes from videos in the wild[C]. CRCV-TR-12-01, 2012, [2] Karpathy A, TodericiG, ShettyS, et al. Large-scale Video Classification with Convolutional Neural Networks[C]. IEEE Conference on Computer...
img_impl, ) def main(args): if args.dataset in ["ucf101_24", "jhmdb"]: show_dataset_fn = _show_spatiotemporal_datasets else: raise ValueError("Unknown dataset {}".format(args.dataset)) show_dataset_fn(args) if __name__ == '__main__': main(_parse_args())...
序言 最近有个行为检测的需求,打算用行为识别做,纯小白入这个方向,啃了两周的TSM原理和源码,训练好自己的数据集后,发现好像没法应用到自己的需求场景??玛德!算了,还是要记录一下。原理就没别要讲了,网上很多,感兴趣的可以自己去搜。 一、数据准备 首先把代码git
UCF101 dataset is an extension of UCF50 and consists of 13,320 video clips, which are classified into 101 categories. These 101 categories can be classified into 5 types (Body motion, Human-human interactions, Human-object interactions, Playing musical i