Photopus is an easy to use batch photo editor software to convert, resize, transform, touch-up, rename, and apply effects to your digital images. Instead of spending hours to edit your digital images individually, Photopus lets you perform batch image processing in a single operation. With Photopus, you can batch resize images automatically with ready preset for most common output sizes; Rotate images; Flip; Rename images; Crop images; Convert image to other image formats (including multi-page PDF, TIFF); Adjust DPI; Apply special effects like black and white, sepia, blur, emboss, red eye correction, twirl, grayscale, add border and more; Touch-up images by adjusting brightness, contrast, sharpen, smooth, color balance and etc. Photopus comes with clean and well designed interface. It only involved 3 steps to process your images: Add Photos, Add Filters, Output. Through every step of the process you can preview the changes made before saving the images. Settings can be saved and load for next image processing project. Photopus supports over 60 images formats including BMP, JPG, GIF, TIFF, TGA, PNG, ICO, PDF, PDF/A, PSD, WMF, EMF, JBIG, JBIG2, WBMP, PICT, PCT, JNG, JPEG 2000, PIC, ICB, VDA, VST, PDD, WAP, WBM, EXR, PNM, PBM, PGM, PPM, XPM, CUR, CUT, DDS, DIB, FAX, HDR, IFF, BIE, JBG, JB2, JIF, KOA, LBM, MNG, PCD, PCX, PFM, PGM, RAS, SGI, RLE, XBM, EXIF, JTIF and etc. Multi-page image format is fully supported.
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Based on our record, OpenCV seems to be more popular. It has been mentiond 51 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Open the camera feed — and use the OpenCV library for real-time computer vision processing. - Source: dev.to / 7 days ago
Data analysis involves scrutinizing datasets for class imbalances or protected features and understanding their correlations and representations. A classical tool like pandas would be my obvious choice for most of the analysis, and I would use OpenCV or Scikit-Image for image-related tasks. - Source: dev.to / 6 months ago
You might be able to achieve this with scripting tools like AutoHotkey or Python with libraries for GUI automation and image recognition (e.g., PyAutoGUI https://pyautogui.readthedocs.io/en/latest/, OpenCV https://opencv.org/). Source: 6 months ago
- [ OpenCV](https://opencv.org/) instead of YoloV8 for computer vision and object detection. Source: 10 months ago
I came across a very interesting [project]( (4) Mckay Wrigley on Twitter: "My goal is to (hopefully!) add my house to the dataset over time so that I have an indoor assistant with knowledge of my surroundings. It’s basically just a slow process of building a good enough dataset. I hacked this together for 2 reasons: 1) It was fun, and I wanted to…" / X ) made by Mckay Wrigley and I was wondering what's the easiest... Source: 10 months ago
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
XnConvert - XnConvert is an easy image converter for graphic files, photos and images available on Windows...
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
BatchPhoto - BatchPhoto is a batch photo editing software for Win and Mac that can convert, resize, annotate and watermark hundreds of photos in one go. Learn more and try it for Free!
NumPy - NumPy is the fundamental package for scientific computing with Python
Batch Image Converter - Convert multiple images, photos, and pictures between 30+ formats: JPG, PNG, GIF, TIFF, BMP, JP2, J2K, TGA, PSD, RAW, DDS, PNM, WMF, ICO, SGI, HDR, LBM