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TableTennis数据集
作者您好,关于乒乓球动作识别的数据集能够提供吗?
DATASET: #DATASET field batch_size: 1 #Mandatory, bacth size num_workers: 2 #Mandatory, XXX the number of subprocess on each GPU. test_batch_size: 1 train: format: "FrameDataset_Sport" #Mandatory, indicate the type of dataset, associate to the 'paddlevidel/loader/dateset' file_path: "train.list" #Mandatory, train data index file path suffix: 'img_{:05}.jpg' valid: format: "FrameDataset_Sport" #Mandatory, indicate the type of dataset, associate to the 'paddlevidel/loader/dateset' file_path: "val.list" #Mandatory, valid data index file path suffix: 'img_{:05}.jpg' test: format: "FrameDataset_Sport" #Mandatory, indicate the type of dataset, associate to the 'paddlevidel/loader/dateset' file_path: "val.list" #Mandatory, valid data index file path suffix: 'img_{:05}.jpg'
目前提供了样例数据 https://github.com/PaddlePaddle/PaddleVideo/tree/develop/applications/TableTennis/ActionRecognition#模型推理 全量数据集暂不开源哈
作者您好,我有一部分乒乓球击球动作数据集,数据集为mp4格式,数据集标签包含动作的起始和结束帧,标签文件内容如下,格式为XML
<video> <action begin="280" end="372" move="Offensive Backhand Hit"/> <action begin="760" end="932" move="Offensive Forehand Hit"/> <action begin="2316" end="2456" move="Offensive Backhand Hit"/> <action begin="2684" end="2824" move="Offensive Forehand Loop"/> <action begin="3520" end="3656" move="Offensive Forehand Loop"/> <action begin="4736" end="4880" move="Offensive Forehand Hit"/> <action begin="6036" end="6176" move="Offensive Forehand Loop"/> <action begin="6544" end="6700" move="Offensive Backhand Hit"/> <action begin="6704" end="6828" move="Offensive Backhand Hit"/> <action begin="7080" end="7240" move="Offensive Forehand Loop"/> <action begin="9088" end="9212" move="Offensive Backhand Loop"/> <action begin="9736" end="9872" move="Offensive Forehand Loop"/> <action begin="9904" end="10056" move="Offensive Forehand Hit"/> <action begin="10060" end="10172" move="Offensive Backhand Hit"/> <action begin="10572" end="10732" move="Offensive Forehand Loop"/> <action begin="10744" end="10872" move="Offensive Forehand Hit"/> </video>
请问如何修改videoswin_tabletennis.yaml
中的dataset
DATASET: #DATASET field batch_size: 1 #Mandatory, bacth size num_workers: 2 #Mandatory, XXX the number of subprocess on each GPU. test_batch_size: 1 train: format: "FrameDataset_Sport" #Mandatory, indicate the type of dataset, associate to the 'paddlevidel/loader/dateset' file_path: "train.list" #Mandatory, train data index file path suffix: 'img_{:05}.jpg' valid: format: "FrameDataset_Sport" #Mandatory, indicate the type of dataset, associate to the 'paddlevidel/loader/dateset' file_path: "val.list" #Mandatory, valid data index file path suffix: 'img_{:05}.jpg' test: format: "FrameDataset_Sport" #Mandatory, indicate the type of dataset, associate to the 'paddlevidel/loader/dateset' file_path: "val.list" #Mandatory, valid data index file path suffix: 'img_{:05}.jpg'
才能使用自己的数据集进行训练呢?
您好,请问一下你上面这个xml文件是通过什么工具标注出来的?
您好,请问问题还是否需要解决,目前多模态视频能力集成在PaddleMIX中,https://github.com/PaddlePaddle/PaddleMIX/tree/develop 可以在这个repo下提出您的需求