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Video streaming with flash Flash video stream Streaming -- streaming It enables flash applications to effectively break large responses into small pieces over a long period of time. To illustrate this topic, I'll show you how to build a real-time video streaming server!   What is Streaming? (what is streaming media?) Streaming is a ...

Detectron quick start official Colab Notebook Read the Getting Started section on: 1. Use the pre trained Detectron2 model To download an image, we need to create a detectron2 config, and then create a Default Predictor according to the config for single image reasoning. cfg = get_cfg() # Get Default Config # According to mask_ rcnn_ R_ 50_ ...

Restoration and enhancement of specified images Original image 1-1 The experimental process is as follows: According to the observation, it is not difficult to find that there is impulse noise in the image, so the median filter is used to filter and remove impulse noise. The filtering of impulse noise is not limited to the filtering method. T ...

This article is mainly reproduced in Blog github project address: https://github.com/albu/albumentations Help document - evaluations This paper mainly introduces some common methods of image data enhancement library augmentation Python image processing library – augmentations, which can be used for image data enhancement during net ...

Image graying What is image graying? Image graying is not to turn a simple image into gray, but to integrate the BGR channels of the image with a certain law to make the image display bit gray. The rules are as follows: Manual graying First, we use manual graying: The idea is: First create a blank picture with the same length and width as ...

Personal understanding and source code analysis of MOT indicators: Official website indicators: Indicators on the official website There is also a good Chinese Blog: Blog However, I still don't have a special understanding of some of the details, so I carefully read the paper and the source code of calculation and evaluation indicators off ...

1, Introduction to sift algorithm Scale invariant feature transform (SIFT) is a computer vision algorithm used to detect and describe local features in images. It looks for extreme points in spatial scale and extracts their position, scale and rotation invariants. This algorithm was published by David Lowe in 1999 and summarized in 2004. Its ...