Open Source Computer Vision Library
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Updated
Apr 4, 2022 - C++
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Digital image processing is the use of algorithms to make computers analyze the content of digital images.
Open Source Computer Vision Library
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
Content aware image cropping
JavaScript image cropper.
Content aware image resize library
Turn your two-bit doodles into fine artworks with deep neural networks, generate seamless textures from photos, transfer style from one image to another, perform example-based upscaling, but wait... there's more! (An implementation of Semantic Style Transfer.)
The friendly PIL fork (Python Imaging Library)
An Android transformation library providing a variety of image transformations for Glide.
Best Practices, code samples, and documentation for Computer Vision.
Python Script to download hundreds of images from 'Google Images'. It is a ready-to-run code!
CVPR 2022 论文和开源项目合集
Check if test_random_gen_accumulative_additive_additive still crashes in pytorch 1.10.1
Originally posted by @edgarriba in kornia/kornia#1611 (comment)
OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched
Fast and secure standalone server for resizing and converting remote images
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
Originally posted by br3aker March 13, 2022
Current jpeg implementation lacks of COM marker support, does it need to support it? Should be easy to implement as this marker is just an array of bytes - itu spec leaves 'interpretation to the application', decoding API shoul
Blurry is an easy blur library for Android
Segmentation models with pretrained backbones. PyTorch.
a language for fast, portable data-parallel computation
This is a feature request for a utility function for cropping images from a bounding box.
Note this need comes up a lot, particularly for 2D images - see this discussion on image.sc for an example, including prototype code. It would be nice to have a full nD solution though. Possibly something that
Go package for computer vision using OpenCV 4 and beyond.
Keras model to generate HTML code from hand-drawn website mockups. Implements an image captioning architecture to drawn source images.
Currently, if a user tries to access an index that is larger than the dataset length or tensor length, an internal error is thrown which is not easy to understand.
We can catch the error and throw a more descriptive e
Fast, simple, scalable, Docker-ready HTTP microservice for high-level image processing
Enhancement
A discussion in #614 revealed a good place for improvement - we should ensure that input image is continuous upon start of the augmentation pipeline. This could be implemented by adding
image = np.ascontiguousarray(image)to image and mask targets.A proposed place to add this call - somewhere at the beginning of
A.Compose.__call__.