Search Results for "python fingerprint recognition code" - Page 2
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Showing 45 open source projects for "python fingerprint recognition code"
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DETR
End-to-end object detection with transformers
PyTorch training code and pretrained models for DETR (DEtection TRansformer). We replace the full complex hand-crafted object detection pipeline with a Transformer, and match Faster R-CNN with a ResNet-50, obtaining 42 AP on COCO using half the computation power (FLOPs) and the same number of parameters. Inference in 50 lines of PyTorch. What it is. Unlike traditional computer vision techniques, DETR approaches object detection as a direct set prediction problem. It consists of a set-based... -
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Tensor2Tensor
Library of deep learning models and datasets
Deep Learning (DL) has enabled the rapid advancement of many useful technologies, such as machine translation, speech recognition and object detection. In the research community, one can find code open-sourced by the authors to help in replicating their results and further advancing deep learning. However, most of these DL systems use unique setups that require significant engineering effort and may only work for a specific problem or architecture, making it hard to run new experiments... -
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DeepFaceLab
The leading software for creating deepfakes
... to strengthen their own pipeline with other features without having to write complicated boilerplate code. DeepFaceLab can achieve results with high fidelity that are indiscernible by mainstream forgery detection approaches. Apart from seamlessly swapping faces, it can also de-age faces, replace the entire head, and even manipulate speech (though this will require some skill in video editing). -
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easy12306
Automatic recognition of 12306 verification code
Automatic recognition of 12306 verification code using machine learning algorithm. Identify never-before-seen pictures. -
Picsart Enterprise Background Removal API for Stunning eCommerce VisualsWith our Remove Background API tool, you can access the transformative capabilities of automation , which will allow you to turn any photo asset into compelling product imagery. With elevated visuals quality on your digital platforms, you can captivate your audience, and therefore achieve higher engagement and sales.
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Tensorpack
A Neural Net Training Interface on TensorFlow, with focus on speed
Tensorpack is a neural network training interface based on TensorFlow v1. Uses TensorFlow in the efficient way with no extra overhead. On common CNNs, it runs training 1.2~5x faster than the equivalent Keras code. Your training can probably gets faster if written with Tensorpack. Scalable data-parallel multi-GPU / distributed training strategy is off-the-shelf to use. Squeeze the best data loading performance of Python with tensorpack.dataflow. Symbolic programming (e.g. tf.data) does not offer... -
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ATX
Smart phone automation tool. Support iOS, Android, WebApp and game
ATX (AutomatorX) is an open source automated testing tool that supports testing native applications, games, and Web applications on iOS and Android platforms. Use Python to write test cases, and use image recognition and control positioning technology to complete the automation of the game. Attach a dedicated IDE to complete scripting quickly. The libraries for Android and iOS native application testing have been separated and can be used alone (it is strongly recommended to use it alone... -
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LaueTools
open source python packages for X-ray MicroLaue Diffraction analysis
LaueTools is an open-source project for white beam Laue x-ray microdiffraction data analysis including tools in image processing, peaks searching & indexing, crystal structure solving (orientation & strain) and data & grain mapping visualisation. Python 3 Code and new features are now at: https://gitlab.esrf.fr/micha/lauetools -
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mAP
Evaluates the performance of your neural net for object recognition
In practice, a higher mAP value indicates a better performance of your neural net, given your ground truth and set of classes. The performance of your neural net will be judged using the mAP criteria defined in the PASCAL VOC 2012 competition. We simply adapted the official Matlab code into Python (in our tests they both give the same results). First, your neural net detection-results are sorted by decreasing confidence and are assigned to ground-truth objects. We have "a match" when they share... -
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Lip Reading
Cross Audio-Visual Recognition using 3D Architectures
The input pipeline must be prepared by the users. This code is aimed to provide the implementation for Coupled 3D Convolutional Neural Networks for audio-visual matching. Lip-reading can be a specific application for this work. Audio-visual recognition (AVR) has been considered as a solution for speech recognition tasks when the audio is corrupted, as well as a visual recognition method used for speaker verification in multi-speaker scenarios. The approach of AVR systems is to leverage... -
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Fingerprint Recognition System
Fingerprint Recognition System 5.3 - Matlab source code
The proposed filter-based algorithm uses a bank of Gabor filters to capture both local and global details in a fingerprint as a compact fixed length FingerCode. The fingerprint matching is based on the Euclidean distance between the two corresponding FingerCodes and hence is extremely fast. We are able to achieve a verification accuracy which is only marginally inferior to the best results of minutiae-based algorithms published in the open literature. Our system performs better than a state... -
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RFlex
Spectroradiometer control for shipborne reflectance measurements
Spectroradiometer control for autonomous reflectance measurements from moving vessels. The software incorporates GPS signal parsing, control of the sensor platform viewing angle (stepper motor control), sensor triggering and data recording. Continue to the download section for the latest release information Rrs data processing code (the 'fingerprint technique') is also available - but moved to my github page: https://github.com/StefanSimis -------- Oct 2014: a beta version is available... -
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Speech Sentiment Analysis
Voice to Text Sentiment Analysis
Voice to text Sentiment analysis converts the audio signal to text to calculate appropriate sentiment polarity of the sentence. The code currently works on one sentence at a time. Sentiment scoring is done on the spot using a speaker. The Speech to text processing system currently being used is the MS Windows speech to text converter. However significant modifications can be made for audio recognition by a refined signal processing system. The sentiment operator in textblob is used... -
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ProximityForest
Efficient Approximate Nearest Neighbors for General Metric Spaces
... and Pattern Recognition, 2012. This source code is provided without warranty and is available under the GPL license. More commercially-friendly licenses may be available. Please contact Stephen O'Hara for license options. Please view the wiki on this site for installation instructions and examples on reproducing the results of the papers. -
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iFace is a human face recognition open scource project which developed by python. It is developed based on some code of PyVision project.
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Framework for making Windows applications that are one .exe file in AutoHotKey_L,C++,C#, VB.NET,Java,Groovy,Common Lisp,Nemerle,Ruby,Python,PHP,Lua,Tcl,Perl,Jint,S#,WSH VBScript,HTML/JavaScript/CSS,COM, PowerShell without compiling . For .NET 4.
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Python code to handle Rubik's Cubes. Including optical recognition and scanning by webcam (OpenCV), solving (Cube Explorer and WINE) and displaying of the solution (OpenGL). It is similar to Cube Explorer with enhancements like linux webcam support.
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iFace is a human face recognition open scource project which developed by python. It is developed based on some code of PyVision project.
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PyPR - Python Pattern Recognition. A small collection of useful pattern recognition methods. The code is still in its early stages.
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Artificial Neural Network targeted at Morse Code symbols recognition using OIJ learning method, coded in Python for portability.
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addend
This 'addend.py' code is a python utility intended for the BLIND folks
For Visual Impaired (VI) folks it is NOT easy to listen to and explore large python code files where the number of indent spaces on each line of code has a syntactical meaning for python interpreters. 'addend' adds #comments, like '# :end: if' , or '# :end: for' etc, for easier sound recognition when a syntax block structure has ended as defined by python's space indentation rules. Those added '# :end:' comment lines are placed whenever a syntax block has ended in python. Hopefully...
