Search Results for "python pdf extract images" - Page 2
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Showing 65 open source projects for "python pdf extract images"
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pdf combiner merger converter splitter
PDF Combiner is a user-friendly, GUI-based tool built in
PDF Combiner is a user-friendly open source free to use, GUI-based tool for combining, pdf to excel, pdf to word, image to pdf, zip, unzip annotate and splitting PDF files. It is easy to use, supports multiple file insert and delete and process, and allows you to adjust the order of files before combining. -
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mega-snap-merge
Mega Snap Merge v9.2.2 – Free desktop tool
Mega Snap Merge is a free and portable document-processing tool designed for Windows 7 and above. It allows users to scan documents using TWAIN/WIA scanners, export front/back citizenship or identity card photos onto a single A4 page, and merge images or PDFs into a single compressed file. The tool is fully offline, fast, lightweight, and requires no installation—just download and run the executable. This application is especially useful for Nepali users, cooperatives, offices, banks, and... -
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This tool only changes the file extension, meaning it changes one label for another, such as changing a .jpg to a .txt. Be careful: this is not a converter. So, if you change the label of a file from .jpg to .pdf, the file will still be an image and will not become a PDF. It can be useful for files of the same type. For example, if you have different types of images, you can make your computer see them all as if they were of the same kind.
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Comic panel detection
Program, written in python, which detect panels in comics
Program, written in python, which detect panels in comics, based on Max Halford's tutorial "https://maxhalford.github.io/blog/comic-book-panel-segmentation/". It allows you to process Jpg/Png images in a folder , and then save the individual panels in a folder or in a single pdf file. Unfortunately it is far from perfect and makes many mistakes especially with "black and white" comics. -
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justniffer is a TCP sniffer. It reassembles and reorders packets and displays the tcp flow in a customizable way. It can log network traffic in web server log format. It can also log network services performances (e.g. web server response times) and extract http content (images, html, scripts, etc)
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garysfm
An advanced file manager with qss themes and iso and folder previews
garysfm which stands for Gary's File Manager is a file manager with some advanced features. Those features include bulk renaming and folder image previews. I has rather advanced search functions, tab browsing with persistence between launches. It remembers your folder sorting and view options in icon view. It also remembers your active tabs between sessions. It has progress dialog while doing large operations like copying large files, and folders with many files. python version works on... -
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Img2Txt
Img2Txt - Extract Text From Images using AI
Important: If you are sharing this program. Please Include the official Download Link What is Img2Txt? Img2Txt is a Python-based application packaged using PyInstaller that utilizes the power of pytesseract, an AI-powered optical character recognition (OCR) library, to extract text from images and convert it into plain text. The application features a simple and modern user-friendly interface created using customtkinter, allowing users to easily process images and obtain the text within them. ... -
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DDPM-CD
Remote sensing change detection using denoising diffusion models
This is the Pytorch implementation of Remote Sensing Change Detection using Denoising Diffusion Probabilistic Models. The generated images contain objects that we commonly see in real remote sensing images, such as buildings, trees, roads, vegetation, water surfaces, etc., demonstrating the powerful ability of the diffusion models to extract key semantics that can be further used in remote sensing change detection. We fine-tune a light-weight change detection head which takes multi-level... -
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AnimeGAN
A simple PyTorch Implementation of Generative Adversarial Networks
A simple PyTorch Implementation of Generative Adversarial Networks, focusing on anime face drawing. The images are generated from a DCGAN model trained on 143,000 anime character faces for 100 epochs. Manipulating latent codes enables the transition from images in the first row to the last row. The images are not clean, some outliers can be observed, which degrades the quality of the generated images. Anime-style images of 126 tags are collected from danbooru.donmai.us using the crawler tool... -
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ImaGC
image editor
an easy way to personalize images. -
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Paperless-ng
A supercharged version of paperless, scan, index and archive docs
Paperless is a simple Django application running in two parts, a Consumer (the thing that does the indexing) and a Web server (the part that lets you search & download already-indexed documents). Paper is a nightmare. Environmental issues aside, there’s no excuse for it in the 21st century. It takes up space, collects dust, doesn’t support any form of a search feature, indexing is tedious, it’s heavy and prone to damage & loss. I wrote this to make “going paperless” easier. I do not have to... -
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Jupyter Notebooks as PDF
Save Jupyter Notebooks as PDF
This Jupyter notebook extension allows you to save your notebook as a PDF. To make it easier to reproduce the contents of the PDF at a later date the original notebook is attached to the PDF. Unfortunately not all PDF viewers know how to deal with attachments. PDF viewers known to support downloading of file attachments are: Acrobat Reader, pdf.js and evince. The pdftk CLI program can also extract attached files from a PDF. Preview for OSX does not know how to display/give you access to... -
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cnn-for-image-retrieval is a research-oriented project that demonstrates the use of convolutional neural networks (CNNs) for image retrieval tasks. The repository provides implementations of CNN-based methods to extract feature representations from images and use them for similarity-based retrieval. It focuses on applying deep learning techniques to improve upon traditional handcrafted descriptors by learning features directly from data. The code includes training and evaluation scripts that...
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Deep Exemplar-based Video Colorization
The source code of CVPR 2019 paper "Deep Exemplar-based Colorization"
The source code of CVPR 2019 paper "Deep Exemplar-based Video Colorization". End-to-end network for exemplar-based video colorization. The main challenge is to achieve temporal consistency while remaining faithful to the reference style. To address this issue, we introduce a recurrent framework that unifies the semantic correspondence and color propagation steps. Both steps allow a provided reference image to guide the colorization of every frame, thus reducing accumulated propagation... -
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covid-chestxray-dataset
We are building an open database of COVID-19 cases with chest X-ray
To build a public open dataset of chest X-ray and CT images of patients who are positive or suspected of COVID-19 or other viral and bacterial pneumonia (MERS, SARS, and ARDS.). Data will be collected from public sources as well as through indirect collection from hospitals and physicians. All images and data will be released publicly in this GitHub repo. This project is approved by the University of Montreal's Ethics Committee #CERSES-20-058-D. We can extract images from publications. Help... -
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Linux-Intelligent-Ocr-Solution
Easy-OCR solution and Tesseract trainer for GNU/Linux
Linux-intelligent-ocr-solution Lios is a free and open source software for converting print in to text using either scanner or a camera, It can also produce text out of scanned images from other sources such as Pdf, Image, Folder containing Images or screenshot. Program is given total accessibility for visually impaired. A Tesseract Trainer GUI is also shipped with this package. Forum : https://groups.google.com/forum/#!forum/lios Video Tutorial :... -
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imgaug
Image augmentation for machine learning experiments
imgaug is a library for image augmentation in machine learning experiments. It supports a wide range of augmentation techniques, allows to easily combine these and to execute them in random order or on multiple CPU cores, has a simple yet powerful stochastic interface and can not only augment images but also key points/landmarks, bounding boxes, heatmaps and segmentation maps. Affine transformations, perspective transformations, contrast changes, gaussian noise, dropout of regions,... -
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Image classification models for Keras
Keras code and weights files for popular deep learning models
All architectures are compatible with both TensorFlow and Theano, and upon instantiation the models will be built according to the image dimension ordering set in your Keras configuration file at ~/.keras/keras.json. For instance, if you have set image_dim_ordering=tf, then any model loaded from this repository will get built according to the TensorFlow dimension ordering convention, "Width-Height-Depth". Pre-trained weights can be automatically loaded upon instantiation (weights='imagenet'... -
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Five video classification methods
Code that accompanies my blog post outlining five video classification
Classifying video presents unique challenges for machine learning models. As I’ve covered in my previous posts, video has the added (and interesting) property of temporal features in addition to the spatial features present in 2D images. While this additional information provides us more to work with, it also requires different network architectures and, often, adds larger memory and computational demands.We won’t use any optical flow images. This reduces model complexity, training time, and... -
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i-Map - Plot Geolocation from Images
Automatically plots latitude, longitude from images on Google maps.
i-Map is a Photo metadata forensic tool for Geo-location analysis of images that are clicked from GPS enabled devices. In this tool, you can load 100s of images from a suspect's device and analyze them to know various locations where photos were clicked on mobile phone/tablet. After loading images, with a single click, iMap plots all the images on World Map to visually check where they have been captured, generate timeline and activity of suspect and match them with CDR (Call Detail... -
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Windows Spotlight Slideshow Update
App maintains a slideshow image folder using Windows Spotlight images.
...The Slideshow Update app is most useful if it is setup as a Windows startup app but it can also be run manually anytime a refresh is desired. Some of the selection criteria are based on exif-type data imbedded in Spotlight images. The Python Pillow addon is used to extract exif-type data. Tkinter is only used to display an error dialog, if errors occur. If there are no errors, the app runs "silently". Requires a Python 3.x environment. -
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colorview2d
Extendible 2D color plotting tool.
Visualize and analyze 3D data files using 2D colorplots. Inspired by spyview. Written in python. -
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Convolution arithmetic
A technical report on convolution arithmetic in deep learning
A technical report on convolution arithmetic in the context of deep learning. The code and the images of this tutorial are free to use as regulated by the licence and subject to proper attribution. The animations will be output to the gif directory. Individual animation steps will be output in PDF format to the pdf directory and in PNG format to the png directory. We introduce a guide to help deep learning practitioners understand and manipulate convolutional neural network architectures.... -
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Penetration-Testing-Toolkit v1.0
A web interface for various penetration testing tools
Penetration-Testing-Toolkit is a web based project to automate Scanning a network,Exploring CMS, Generating Undectable metasploit payload, DNS-Queries, IP related informations, Information Gathering, Domain related info etc -
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TexLexAn is an open source text analyser for Linux, able to estimate the readability and reading time, to classify and summarize texts. It has some learning abilities and accepts html, doc, pdf, ppt, odt and txt documents. Written in C and Python.
