Search Results for "batch image" - Page 3
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Showing 66 open source projects for "batch image"
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Detectron2
Next-generation platform for object detection and segmentation
Detectron2 is Facebook AI Research's next generation software system that implements state-of-the-art object detection algorithms. It is a ground-up rewrite of the previous version, Detectron, and it originates from maskrcnn-benchmark. It is powered by the PyTorch deep learning framework. Includes more features such as panoptic segmentation, Densepose, Cascade R-CNN, rotated bounding boxes, PointRend, DeepLab, etc. Can be used as a library to support different projects on top of it. We'll... -
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SimSiam
PyTorch implementation of SimSiam
SimSiam is a PyTorch implementation of “Exploring Simple Siamese Representation Learning” by Xinlei Chen and Kaiming He. The project introduces a minimalist approach to self-supervised learning that avoids negative pairs, momentum encoders, or large memory banks—key complexities of prior contrastive methods. SimSiam learns image representations by maximizing similarity between two augmented views of the same image through a Siamese neural network with a stop-gradient operation, preventing... -
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FixRes
Reproduces results of "Fixing the train-test resolution discrepancy"
...FixRes demonstrates that a mismatch between training and testing resolutions often leads to suboptimal accuracy, and fine-tuning the classifier and batch normalization layers at higher test resolutions significantly enhances performance. The repository includes pretrained models, feature embeddings, and evaluation scripts corresponding to the experiments reported in the NeurIPS 2019 paper “Fixing the train-test resolution discrepancy.” -
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Super-résolution via CNN
Super resolution using a CNN, based on the work of the DGtal team
...This program will generate "model_epoch_ .pth" files corresponding to the model at epoch n, in a folder saved_model_u t_bs bs_tbs tbs_lr lr, where corresponds to the scale factor, bsthe size of the training batch, tbsthe size of the test batch and lrto the learning rate. Low res images should be located in a "dataset/input" folder, and high res targets in a "dataset/target" folder, where each different quality image has the same name in both folders. -
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DIGITS
Deep Learning GPU training system
The NVIDIA Deep Learning GPU Training System (DIGITS) puts the power of deep learning into the hands of engineers and data scientists. DIGITS can be used to rapidly train the highly accurate deep neural network (DNNs) for image classification, segmentation and object detection tasks. DIGITS simplifies common deep learning tasks such as managing data, designing and training neural networks on multi-GPU systems, monitoring performance in real-time with advanced visualizations, and selecting... -
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Neural Enhance
Super Resolution for images using deep learning
...Users can also train custom networks with perceptual and adversarial approaches for specialized datasets. The command-line tool supports batch processing, CPU or NVIDIA GPU execution, and Docker-based deployment for easier setup. -
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dezoomify
Download and losslessly untile Zoomify images
The Dezoomify Python script takes a URL of a page with a Zoomify image in it, asynchronously downloads the image's tiles and losslessly stitches them together into a single image. You can also download several images at once in batch mode. Any zoom level of an image can be downloaded while the most zoomed in one is used by default. -
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OpenNumismat
Coin collecting software for organize and manage your own catalogue
This project has been migrated to github - please visit http://opennumismat.github.io OpenNumismat is a handy and reliable application aimed at coin lovers, numismatists or amateurs looking to create a numismatics collection. With OpenNumismat, you will be able to create, organize and manage your own coin catalogue with detailed description and photos for each of the items. -
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GTKRawGallery is a workflow oriented photo retouching software for camera raw image development. It is also a versatile photo manager for popular image formats.
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Cute Giraffe
Qt-based Graphical Interface Wrapper for FFMPEG
Qt-based Graphical Interface Wrapper for FFMPEG Cute Giraffe is now part of LibreEngineering suite: http://sourceforge.net/projects/libreeng/ -
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colonyzer image analysis software
Image analysis estimating cell density in arrayed microbial cultures
Image analysis software for quantification of cell density in microbial cultures (e.g. S. cerevisiae) growing on solid agar plates. Specialises in detection of extremely low cell densities. Forms part of the Quantitative Fitness Analysis (QFA) workflow: http://research.ncl.ac.uk/qfa/ Suitable for high-throughput, genome-wide analysis of culture libraries when combined with the following qfa R package: http://qfa.r-forge.r-project.org/ This is the version presented, used and... -
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EnKoDeur-Mixeur (EKD) is an open source software which makes videos, pictures and audio post-production. It can be also used to convert videos in many formats. It is written in python and use the PyQt4 bindings.
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mungempo
Extract stereo images from .MPO files
This commandline Python tool will extract stereoscopic images from .MPO format files (e.g. as created by Fuji W3 camera) and either save them as separate Left /Right images or as an anaglyphic composite (suitable for viewing with coloured 3D glasses -
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The PupilCutter Project aims to create a easy and as fast as possible to use Image Cutting program. Time consuming progresses, like opening Pictures file by file are abolished, in favor for batch-loading whole directories.
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Batch processing for Jpeg pictures packing. (written in python Compresseur d'images Jpeg par lot. (écrit en python)
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Batch Image Processor This simple Command line utility allows you to process (ie scale, rotate, change format/quality) a collection of image files. This arose from my need to find a simple way to reduce photos for emailing to family and friends.
