Searching for a specialized tool that handles particular formats can be time-consuming. Despite the huge number of online editors available, not all of them support Tiff format, and definitely not all enable you to make changes to your files. To make matters worse, not all of them provide the security you need to protect your devices and paperwork. DocHub is an excellent answer to these challenges.
DocHub is a popular online solution that covers all of your document editing needs and safeguards your work with bank-level data protection. It supports different formats, such as Tiff, and enables you to edit such paperwork easily and quickly with a rich and user-friendly interface. Our tool meets essential security standards, such as GDPR, CCPA, PCI DSS, and Google Security Assessment, and keeps improving its compliance to provide the best user experience. With everything it offers, DocHub is the most trustworthy way to Snip field in Tiff file and manage all of your individual and business paperwork, no matter how sensitive it is.
After you complete all of your adjustments, you can set a password on your updated Tiff to make sure that only authorized recipients can open it. You can also save your paperwork with a detailed Audit Trail to see who applied what changes and at what time. Select DocHub for any paperwork that you need to edit securely. Sign up 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