Abstract: Medical image processing is highly developed and critical in the medical field, encompassing methods like X-rays, MRI, and CT scans. These techniques help to identify minute defects in the ...

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Support for PIL library image input (path) instead of Base64 encoding. For example, when using models with transformers library, I provide images this way img = Image.open(path).convert("RGB") which ...

Division of Applied Chemistry, Faculty of Engineering, Hokkaido University, Kita 13, Nishi 8, Kita-ku, Sapporo, Hokkaido 060-8628, Japan ...

Running Python scripts is one of the most common tasks in automation. However, managing dependencies across different systems can be challenging. That’s where Docker comes in. Docker lets you package ...

Apple’s Image Playground is a free app for iPhone and other Apple devices that lets you generate unlimited AI images for free. You can generate images based on your friends, from a text prompt or ...

The "Image to Text Converter" project aims to develop a Python program that can extract text from images using Optical Character Recognition (OCR) techniques. This report provides an overview of the ...

Abstract: Image processing has emerged as a crucial technology in agriculture, facilitating tasks such as crop monitoring, disease detection, and yield estimation. Python, with its extensive libraries ...

Image analysis can be useful for assessing crop health and predicting yield. Instead of expensive equipment, smartphones are considered an accessible and low-cost alternative. The objectives of this ...

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