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My website is https://cyberindia.in and I manage 95% of my images in cloudinary and I am happy slowly I will move all my images to cloudinary and become more happy :D . On a serious note Cloudinary Rocks ...
The art of technologies and delivering power potential with a huge flexibility makes cloudinary stand out in the crowd.
I used both scikit-image and OpenCV for image processing and cell identification on the backend. Trained to identify malaria cells based on image datasets online. When it comes to quick training for image processing, OpenCV and scikit-image are the two best choices in my opinion. The approach I took to cell detection was template-matching and edge detection based. Both are highly tested and very powerful features of the Scikit Image and OpenCV libraries, and also have great Python interfaces.
I use openCV to serve as "motion capture" logic for my home security cameras. Which means that instead of capturing in a dumb way based on motion, it captures video when it recognizes human faces or bodies. This saves a lot of disk, but at the expense of CPU.
Uploaded files are stored in the cloud and immediately made accessible. To transform, optimize and manage images and videos.The Future of Content Delivery and Management.Optimizing Video with Cloudinary and the HTML5 videoPlayer. https://cloudinary.com
we used this as our image hosting site at talenthouse. helped the cloundinary team with the video integration as we were one of the first users. also helped patch the cloudinary scala library.
CV glue. Modified libraries for pattern-detection. Some pattern training tasks. HoG matching. Transform
4 years of experience with Cloudinary for cloud-based image processing and CDN.