Browsing for a specialized tool that handles particular formats can be time-consuming. Despite the vast number of online editors available, not all of them are suitable for Tiff format, and definitely not all allow you to make adjustments to your files. To make matters worse, not all of them give you the security you need to protect your devices and documentation. DocHub is a great answer to these challenges.
DocHub is a popular online solution that covers all of your document editing needs and safeguards your work with enterprise-level data protection. It works with different formats, such as Tiff, and enables you to edit such documents quickly and easily with a rich and intuitive interface. Our tool complies with important security standards, like GDPR, CCPA, PCI DSS, and Google Security Assessment, and keeps enhancing its compliance to guarantee the best user experience. With everything it offers, DocHub is the most reputable way to Slide fee in Tiff file and manage all of your individual and business documentation, irrespective of how sensitive it is.
When you complete all of your alterations, you can set a password on your updated Tiff to make sure that only authorized recipients can work with it. You can also save your paperwork containing a detailed Audit Trail to find out who applied what edits and at what time. Opt for DocHub for any documentation that you need to edit safely and securely. 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