WebDrive
ExpanDrive
ifttt
FileCloud
Air Explorer
NetDrive
CloudMounter
CloudHQ
Scikit Image
OpenCV
Microsoft Computer Vision API
Amazon Rekognition
Microsoft Video API
Clarifai
SimpleCV
Cloudinary
WebDrive maps a network drive letter to your remote servers and cloud storage, allowing you to access files in a way thatโs consistent with the way you already work. WebDrive provides file access through the familiar interface of Windows Explorer or Mac Finder โ and from within every desktop application. This instantly familiar interface reduces training and technical support effort.
WebDrive Scikit ImageWebDrive is recommended for professionals and businesses that need to manage files across multiple storage solutions seamlessly. It is particularly suitable for users who require secure access to remote files, need a centralized file access solution, or want to simplify the process of interacting with different cloud services from a single interface.
I started using Webdrive about 5-6 years ago when my company implemented it to connect to our Sharepoint server. I've used it for SFTP, and to automatically backup my files to S3. It just makes getting to your files any where in the cloud the same as getting to them on your PC. I use it all the time, but rarely think about it. Kind of a set it and forget type of thing. I've used their tech support a couple of times over the years and have found them to be helpful.
Based on our record, Scikit Image should be more popular than WebDrive. It has been mentiond 7 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Ive been using webdrive for years and its pretty great. Never had any complaints. Source: about 4 years ago
We will use the Hugging Face transformers and diffusers libraries for inference, FiftyOne for data management and visualization, and scikit-image for evaluation metrics. - Source: dev.to / over 2 years ago
Data analysis involves scrutinizing datasets for class imbalances or protected features and understanding their correlations and representations. A classical tool like pandas would be my obvious choice for most of the analysis, and I would use OpenCV or Scikit-Image for image-related tasks. - Source: dev.to / over 2 years ago
This is a good cv deep learning book with python examples https://www.manning.com/books/deep-learning-for-vision-systems. If you're pretty comfortable with the concepts of traditional image processing this is a good companion to cv2 (so you don't have to reinvent the wheel) https://scikit-image.org/. Source: over 3 years ago
Also, don't know if you're familiar with Python, but if you need ideas for to implement for future directions : https://scikit-image.org/. Source: almost 4 years ago
There's probably something in scikit-image to do what you want, or close enough to build on. Source: about 4 years ago
ExpanDrive - ExpanDrive is a fast network drive and browser for cloud storage.
OpenCV - OpenCV is the world's biggest computer vision library
ifttt - IFTTT puts the internet to work for you. Create simple connections between the products you use every day.
Microsoft Computer Vision API - Extract rich information from images and analyze content with Computer Vision, an Azure Cognitive Service.
FileCloud - FileCloud is an enterprise file share, sync and mobile access solution.
Amazon Rekognition - Add Amazon's advanced image analysis to your applications.