image may not always be the easiest with which to work. Even though many editing capabilities are out there, not all give a simple solution. We designed DocHub to make editing effortless, no matter the form format. With DocHub, you can quickly and effortlessly work in register in image. Additionally, DocHub offers a range of other features such as document generation, automation and management, industry-compliant eSignature services, and integrations.
DocHub also enables you to save time by creating document templates from documents that you use regularly. Additionally, you can make the most of our numerous integrations that allow you to connect our editor to your most utilized applications easily. Such a solution makes it fast and simple to deal with your files without any delays.
DocHub is a handy feature for individual and corporate use. Not only does it give a extensive collection of features for document generation and editing, and eSignature implementation, but it also has a range of capabilities that prove useful for developing complex and straightforward workflows. Anything imported to our editor is kept risk-free in accordance with leading field requirements that shield users' data.
Make DocHub your go-to choice and simplify your document-based workflows easily!
hey guys this is Sweeney and youamp;#39;re watching Python tutorial videos on my youtube channel Python for microscopy in previous tutorial we talked about key point detectors and descriptors and key points are regions of interest that can be used to compare a couple of images made say and the detectors as the name suggests detect the key points and the descriptors describe these key points and there are detectors by themselves there are descriptors by themselves but most useful solutions would be a detector and descriptor put together into one and sift for example si FP is one such example su RF is another example but unfortunately because of some patent issues sift and serve are no more available in open CV 3 or later versions so we are going to use something called RB and we already talked about it in the last tutorial and itamp;#39;s not a compromise because we donamp;#39;t have sift in fact when you look at some online feedback given about our bow RB some people find it more us
