Decord.videoreader.get_batch

An efficient video loader for deep learning with smart shuffling that's super easy to digest - dmlc/decord. Decord allows to seek a video frame from a file using indices, like: video_reader = decord.VideoReader(video_path) frames = video_reader.get_batch(indices) How can I do the same if I have timestamps (with the unit second)? decord库只提供了使用帧索引frame_idxs进行get_batch抽帧，如果你只有时间戳，可以选择： 使用decord库，获取fps，然后将时间戳转换为帧索引。.

In conclusion, Decord is an efficient and flexible video reader. It supports get_batch, GPU loading, fast random access, etc, which is perfectly designed for training video deep neural networks. VideoReader Relevant source files VideoReader is the primary component of Decord for accessing video frames.

It provides efficient frame-level access to video files with support for both sequential and random access patterns. This document covers the VideoReader's architecture, API, and implementation details. For information about batch loading of videos for deep learning, see VideoLoader.

It uses a multithreading approach, creating a new class and a new thread when calling decord.VideoReader.get_batch. If the thread does not respond within 10 seconds, it falls back to OpenCV for reading. This ensures that the training process does not come to a halt due to decord.

文章浏览阅读1.1w次，点赞2次，收藏15次。本文介绍了如何使用Decord库进行视频文件的高效读取，包括创建VideoReader实例、获取指定帧并保存为图片。通过示例展示了基本操作流程，适合视频处理初学者和开发者。. VideoReader Class Structure Key capabilities include: Frame-level random access to video content Efficient seeking and frame skipping Batch retrieval of frames Support for both CPU and GPU contexts Automatic handling of video metadata and keyframes Sources: src/video/video_reader.h 33-96 src/video/video_reader.cc 34. Hi there, I'm using get_batch to get all the frames from a 1 min video and I wanted to ask you if there is a fastest method to achieve this? I read the code from video_reader.py and I don't think s.