Blitline vs Kornia
Overview
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CLI (Node.js)
Manual
Detailed Comparison
Blitline drastically reduces the amount of work you need to develop an application that does any image processing. Stop rebuilding the same image processing functionality, let us do it for much less than it would cost you to make and support it. Pay for only the image processing time that your jobs use. We believe your images should be YOUR images. We also believe that you should never be "locked in" to using Blitline. The flexibility of the JSON API means you could stub out Blitline later without ever touching your production/deployed code. | It is a differentiable computer vision library for PyTorch. It consists of a set of routines and differentiable modules to solve generic computer vision problems. At its core, the package uses PyTorch as its main backend both for efficiency and to take advantage of the reverse-mode auto-differentiation to define and compute the gradient of complex functions. |
Industrial Strength- If you are a website that needs to manipulate large numbers of photos, Blitline is your economical solution.;Convenient- If you are importing photos from an external service and need to crop, thumbnail, or process them, we are your answer.;Versatile- Screenshots, PDFs, animated GIFs, obscure image formats, we are your one stop shop for all of these.;Cheap- No lock-in with us. We push your photos to your storage. We don't want to host your photos and charge you a monthly fee.;Cross Platform- We use a JSON only API that lets you build complex image processing actions accessible from any language or platform;Safe- Worried about making a dependency on a company that might "go away". Founded in 2011, we have been cash positive for quite some time.;Smart- We have been building large scale, enterprise apps for decades. We are your smart choice.;Low Risk- Pay ONLY for what you use. Even when your service explodes and you are processing huge amounts of images, you get deep discounts for using Blitline. | Perform feature detection; Perform data augmentation in the GPU;
Perform image filtering and edge detection;
Differentiable computer vision library |
Statistics | |
GitHub Stars - | GitHub Stars 10.8K |
GitHub Forks - | GitHub Forks 1.1K |
Stacks 6 | Stacks 14 |
Followers 9 | Followers 6 |
Votes 0 | Votes 0 |
Integrations | |
What are some alternatives to Blitline, Kornia?
Cloudinary
Cloudinary is a cloud-based service that streamlines websites and mobile applications' entire image and video management needs - uploads, storage, administration, manipulations, and delivery.
imgix
imgix is the leading platform for end-to-end visual media processing. With robust APIs, SDKs, and integrations, imgix empowers developers to optimize, transform, manage, and deliver images and videos at scale through simple URL parameters.
TensorFlow
TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
OpenCV
OpenCV was designed for computational efficiency and with a strong focus on real-time applications. Written in optimized C/C++, the library can take advantage of multi-core processing. Enabled with OpenCL, it can take advantage of the hardware acceleration of the underlying heterogeneous compute platform.
scikit-learn
scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.
PyTorch
PyTorch is not a Python binding into a monolothic C++ framework. It is built to be deeply integrated into Python. You can use it naturally like you would use numpy / scipy / scikit-learn etc.
ImageKit
ImageKit offers a real-time URL-based API for image & video optimization, streaming, and 50+ transformations to deliver perfect visual experiences on websites and apps. It also comes integrated with a Digital Asset Management solution.
Keras
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/
Kubeflow
The Kubeflow project is dedicated to making Machine Learning on Kubernetes easy, portable and scalable by providing a straightforward way for spinning up best of breed OSS solutions.
TensorFlow.js
Use flexible and intuitive APIs to build and train models from scratch using the low-level JavaScript linear algebra library or the high-level layers API
