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This repository explores the variety of techniques commonly used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both for specialized applications such as medical imaging, and for fun, consumer-level tasks such as image editing and stitching, which students can apply…
Easy to use edge detection library using canny edge detection algorithm and sobel operators, with some other utilities to remove boiler-plate code for applications.
This repository contains the implementation of Image Processing Benchmarks running on Arm Cortex-A9 processor available in Xilinx Zynq 7000 SoC on Avent Zedboard.
Borde is a GPU-accelerated edge detection app written in C++ and CUDA. It is designed to be fast, easy to use, and easy to integrate into existing projects. Borde is licensed under the MIT license.
FastAPIと軽量AIモデル(TensorFlow Lite)を活用した工業向けAI支援型金属表面検査システム。 金属表面の有効性判定(ゲートキーパー)と欠陥傾向分析を段階的に行い、健全性スコア算出、日本語PDFレポート生成、および工場現場に最適化された検査ワークフローを提供します。 本システムにおけるAI解析結果は参考指標であり、最終判断は検査担当者の責任において行われます。 (An industrial-grade AI-assisted metal surface inspection system using FastAPI and lightweight TensorFlow Lite models. The system performs staged validation
ImageContrastEnhancement is a demonstration of the capabilities of convolutional genetic algorithms in image processing, specifically in the area of contrast enhancement.