Search Results for "ground truth"
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Showing 23 open source projects for "ground truth"
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Keras Attention Mechanism
Attention mechanism Implementation for Keras
Many-to-one attention mechanism for Keras. We demonstrate that using attention yields a higher accuracy on the IMDB dataset. We consider two LSTM networks: one with this attention layer and the other one with a fully connected layer. Both have the same number of parameters for a fair comparison (250K). The attention is expected to be the highest after the delimiters. An overview of the training is shown below, where the top represents the attention map and the bottom the ground truth... -
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Patch-NetVLAD
Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition
This repository contains code for the CVPR2021 paper "Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition". -
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SAHI
A lightweight vision library for performing large object detection
A lightweight vision library for performing large-scale object detection & instance segmentation. Object detection and instance segmentation are by far the most important fields of applications in Computer Vision. However, detection of small objects and inference on large images are still major issues in practical usage. Here comes the SAHI to help developers overcome these real-world problems with many vision utilities. Detection of small objects and objects far away in the scene is a major... -
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Face Alignment
2D and 3D Face alignment library build using pytorch
... dlib, BlazeFace, or pre-existing ground truth bounding boxes. While not required, for optimal performance(especially for the detector) it is highly recommended to run the code using a CUDA-enabled GPU. While here the work is presented as a black box, if you want to know more about the intrisecs of the method please check the original paper either on arxiv or my webpage. -
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Indoor Camera Positioning Datasets
Datasets generated for Large Scale Indoor Camera Positioning project
Original project at: https://sourceforge.net/projects/indoor-camera-positioning/. Artificial Datasets These datasets are found in the 'Artificial_Datasets' folder and are created using Blender. They include ground truth data, images, and camera parameters, providing a controlled environment to test and validate our pose estimation algorithms. Both AprilTags and Aruco markers are used to enhance variety and visibility. The marker schemas can be easily modified in the Blender source files... -
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tdsft
TDSFT (Two-Dimensional Segmentation Fusion Tool)
Given multiple segmentations related to the same tumor, statistical metrics could be exploited to determine the most reliable one, from there identified as ground truth. Numerous algorithms have been developed over time, but to date, there is no validated method for this procedure. Therefore, research is still active in this area. Two-Dimensional Segmentation Fusion Tool (TDSFT) is an open-source tool developed in MATLAB and distributed as a standalone application for MAC, Linux, and Windows... -
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miRSim
Seed-based RNA-Seq Simulator
The miRSim tool can generate the synthetic RNA-Seq data in standard fastq/fasta format by utilizing the sequence-specific properties (i.e., seed and xseed (remaining part of the sequence after removing seed)). Additionally, miRSim also generates the ground truth in CSV format that provides information about genomic location, CIGAR string, sequence, and expression counts. -
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...) - Ground truth for each of the extracted ORFs (groundtruth.csv) For information about download, see the documentation.
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SPIKE dataset
Images and models for detection of wheat spikes in the field
The SPIKE dataset contains images with manually annotated ground truth labels for training and testing convolutional neural networks for spike detection of wheat in the field. The model files available here are to be used with the Faster R-CNN implementation of the freely available Microsoft Cognitive Toolkit, found at the following link https://www.microsoft.com/en-us/cognitive-toolkit/ Futhermore, an additional software tool will soon be available for using the models... -
The Secure Workspace for Remote WorkVenn is a secure workspace for remote work that isolates and protects work from any personal use on the same computer. Work lives in a secure local enclave that is company controlled, where all data is encrypted and access is managed. Within the enclave – visually indicated by the Blue Border around these applications – business activity is walled off from anything that happens on the personal side. As a result, work and personal uses can now safely coexist on the same computer.
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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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CavBench, a generic and extensible benchmark to compare diferent cavity detection methods relative to diverse ground truth datasets (e.g., PDBsum) using statistical classi cation methods.
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Devanagari OCR
Devanagari Optical Character Recognition, Annotation tool
.... The UI also enables users to view the word and character level ground truth of images. To cite this work, please use: "Devanagari OCR using a recognition driven segmentation framework and stochastic language models", Suryaprakash Kompalli, Srirangaraj Setlur, Venu Govindaraju, IJDAR, 2009, Volume: 12, Pg.: 123–138 -
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GENUA PESTO Usage Code
Usage code for the stereoscopic image database GENUA PESTO
This is the code necessary for a proper usage of GENUA PESTO - GENoa hUman Active fixation database: PEripersonal space STereoscopic images and grOund truth disparity. GENUA PESTO is a database of stereoscopic natural images rendered mimicking the posture of human eyes. The database provides: - stereoscopic pair - ground-truth depth - ground-truth retinal disparity - depth edges - occlusions The database is downloadable at: Canessa A., Gibaldi A., Chessa M., Fato M., Solari F... -
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Sanskrit / Hindi - Tesseract OCR
Devanagari fonts traineddata for Tesseract OCR
Read https://sourceforge.net/projects/tesseracthindi/files/OCRHindi_using_VietOCR_and_Tesseract.pdf/download for how to use vietocr gui for OCR of Hindi and Sanskrit texts using tesseract-ocr ***** Please see https://github.com/Shreeshrii/ imagessan and imageshin for newer box/tiff pairs, traineddata files, ocr evaluation statistics and ground truth files with images for Sanskrit and Hindi. ***** Following is OLD information - saved only for archival purposes. Tesseract OCR 3.02... -
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SnowMicroPyn
Python based reader for SnowMicroPen® .pnt measurements
.... It is capable of measuring the bonding force between snow grains, with both high spatial resolution and high speed. The SMP can be used in different application areas as snow profiling (avalanche forecasting, snow stratigraphy, remote sensing ground truth), ski track characterization (ski racing) or snow runway characterization (stability testing). -
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CMMSD_GroundTruth
Ground truth data for segmentation of monophonic music.
Data for the CMMSD segmentation ground truth. The package contains the Sonic Visualiser files and the segmentation markers as .txt files. -
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Botnet Detectors Comparer
Compares botnet detection methods
Compares botnet detection methods by computing the error metrics by reading the labels on a NetFlow file. The original NetFlow should have a new column for the ground-truth label, and a new column with the prediction label for each botnet detection method. This program computes all the error metrics (TPR, TNR, FPR, FNR, Precision, Accuracy, ErrorRate, FMeasure1, FMeasure2, FMeasure0.5) and output the comparison results. It also ouputs a png plot. The program can compare in a flow-by-flow... -
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This project aims to provide a ground truth generator for visual hand tracking and full pose-recovery problems. The system generates ground truths based on virtual models, and provides as an output depth, full segmentation of joints, and much more.
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A library implementing various quality metrics used in research to compare processed images to their ground truth.
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Tool for simulation of soil profiles with plant roots providing the possibility to generate an image database for the analysis of segmentation algorithms. Besides, the software automatically generates the ground-truth with the ideal segmentations.
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This project contains both tools and data for Optical Flow evaluation purposes. It offers: many ground truth optical flow sequences; a tool for generating optical flow data from real sequences; implementations of some optical flow algorithms.
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GTMS, or ground truth measurement system, is a high speed (quasi-real-time) optical tracking and motion capture software.
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a network-based multi-user software framework for collecting ground-truth information regarding absence or presence of nodules in Lung CT images.
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