bounding box in image processing

1. R-cnn:rich feature hierarchies for accurate object detection and semantic segmentationTechnical route: Selective search + CNN + SVMsSTEP1: Candidate Box extraction (selective search)Training: Given a picture, use the Seletive search method to

TravelseaLinks: https://zhuanlan.zhihu.com/p/22045213Source: KnowCopyright belongs to the author. Commercial reprint please contact the author for authorization, non-commercial reprint please specify the source.In recent years, the Deep

This article mainly introduced the Python Digital Image processing advanced morphology processing, now shares to everybody, also gives everybody to make a reference. Come and see it together. Morphological processing, in addition to the most basic

Yolo:you only look once:unified, real-time Object Detection The content of this paper is not many, the core idea is relatively simple, the following is equivalent to the translation of the paper. Yolo is a convolutional neural network that can

Transferred from: https://www.cnblogs.com/guoyaohua/p/8994246.htmlTarget detection is the foundation of many computer vision tasks, and it provides reliable information whether we need to interact with the text or identify fine-grained categories.

image Retrieval is the essence of Image feature extraction and feature-based matching technology , image features include the image of the text features, visual features, so-called image text features are related to the image of the text information,

0-Background This paper is a classic paper of cvpr in 2014. Its model is called regions with convolutional neural network features. It was a state-of-art model in the field of object detection.1-related knowledge supplement 1.1-selective search This

Previously mentioned CTPN, here on the study, first or the old routine, from the paper learn it. Here is the English original paper website for everyone to read: https://arxiv.org/abs/1609.03605.CTPN, used to think that abbreviations are usually

In Halcon/c++, Hobject is a base class that can represent an image variable. In addition, there are three kinds of inherited from Hobject. Class Himage processing Image Class Hregion processing region class HXLD processing polygon Regions A region

Transferred from: http://blog.csdn.net/zouxy09/article/details/7893026 From the main () function, analyze the entire TLD operation as follows:8 stages(This is just an analysis of the work process, all the annotated Code see blog update)1, the