Browsing for a professional tool that handles particular formats can be time-consuming. Despite the huge number of online editors available, not all of them are suitable for Tiff format, and definitely not all enable you to make modifications to your files. To make things worse, not all of them give you the security you need to protect your devices and documentation. DocHub is an excellent answer to these challenges.
DocHub is a well-known online solution that covers all of your document editing needs and safeguards your work with enterprise-level data protection. It supports various formats, including Tiff, and helps you modify such documents quickly and easily with a rich and intuitive interface. Our tool complies with important security certifications, such as GDPR, CCPA, PCI DSS, and Google Security Assessment, and keeps improving its compliance to guarantee the best user experience. With everything it provides, DocHub is the most reliable way to Omit texture in Tiff file and manage all of your personal and business documentation, regardless of how sensitive it is.
As soon as you complete all of your alterations, you can set a password on your edited Tiff to make sure that only authorized recipients can work with it. You can also save your paperwork with a detailed Audit Trail to check who applied what changes and at what time. Choose DocHub for any documentation that you need to adjust safely. Subscribe now!
hi everyone welcome to digital sweeney on youtube and please do not forget to subscribe because youll benefit from these tips and tricks and of course my regular videos and this is again based on your questions especially during these unit series many of you are asking okay you have large images and you have large masks corresponding masks right that you have annotated how would you divide them into smaller patches so you can actually train a unit or whatever algorithm youre trying to train so this video is exactly about this explaining this believe me its very very simple and straightforward of course you can write uh every line you know to to take in the large images and then cut them down i used to do that now there is a library called patchify and ive used it in a couple of my videos in the past but thats exactly what you can use to cut down your images and store the cropped images or patched images into a into a numpy area or save your patched images to your drive so you can