Search Results for "dev-pascal" - Page 3
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Showing 101 open source projects for "dev-pascal"
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The Google Cloud Developer's Cheat Sheet
Cheat sheet for Google Cloud developers
Every product in the Google Cloud family described in <=4 words (with liberal use of hyphens and slashes) by the Google Developer Relations Team. This list only includes products that are publicly available. There are several products in pre-release/private-alpha that will not be included until they go public beta or GA. Many of these products have a free tier. There is also a free trial that will enable you try almost everything. API platforms and ecosystems, developer and management tools,... -
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dev-setup
macOS development environment setup
dev-setup is a macOS development-environment bootstrap and reference repository for configuring a new developer machine. It combines documented setup steps with dotfiles and shell scripts that automate common system changes. The project covers command-line tools, editors, terminal customization, Homebrew packages, and developer-oriented macOS defaults. -
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maskrcnn-benchmark
Fast, modular reference implementation of Instance Segmentation
Mask R-CNN Benchmark is a PyTorch-based framework that provides high-performance implementations of object detection, instance segmentation, and keypoint detection models. Originally built to benchmark Mask R-CNN and related models, it offers a clean, modular design to train and evaluate detection systems efficiently on standard datasets like COCO. The framework integrates critical components—region proposal networks (RPNs), RoIAlign layers, mask heads, and backbone architectures such as... -
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RefineNet
RefineNet: Multi-Path Refinement Networks
...The framework uses multi-path refinement and improved residual pooling to achieve high-quality segmentation results across multiple benchmark datasets. It provides trained models for datasets such as PASCAL VOC 2012, Cityscapes, NYUDv2, Person_Parts, PASCAL_Context, SUNRGBD, and ADE20k, with versions based on ResNet-101 and ResNet-152 backbones. The repository supports both single-scale and multi-scale prediction, with scripts for training, testing, and evaluating segmentation performance. While this codebase is specific to MATLAB and MatConvNet, a PyTorch implementation and lighter-weight variants are also available from the community. -
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SSD
A PyTorch Implementation of Single Shot MultiBox Detector
...The repository includes the major components needed for an object detection workflow, including training scripts, evaluation scripts, demos, and utility modules. It supports commonly used benchmark datasets such as PASCAL VOC and MS COCO, and it also provides scripts to simplify downloading and setting up those datasets. For training visibility, the project includes support for Visdom so users can monitor loss in real time through a browser-based interface. Its structure makes it useful both as a reference implementation for learning SSD and as a base for custom experimentation in detection research or practical computer vision projects. -
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brother_ql
Python package for raster language protocol of the Brother QL series
...Print raster instruction files with your Brother label printer via different backends pyusb (works cross-platform) network (works cross-platform for WiFi/Ethernet-enabled printers) linux_kernel (works on Linux only; uses the /dev/usb/lp0 device handles) If your printer has an 'Editor Lite' mode, you need to disable it if you want to print via USB. Make sure that the corresponding LED is not lit by holding the button down until it turns off. The special feature of this package is that no printer driver is required for it to work. -
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LabelImg
Graphical image annotation tool and label object bounding boxes
LabelImg is a graphical image annotation tool. It is written in Python and uses Qt for its graphical interface. Annotations are saved as XML files in PASCAL VOC format, the format used by ImageNet. Besides, it also supports YOLO and CreateML formats. Linux/Ubuntu/Mac requires at least Python 2.6 and has been tested with PyQt 4.8. However, Python 3 or above and PyQt5 are strongly recommended. Virtualenv can avoid a lot of the QT / Python version issues. Build and launch using the instructions. ... -
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InfoGAN
Code for reproducing key results in the paper
The InfoGAN repository contains the original implementation used to reproduce the results in the paper “InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets”. InfoGAN is a variant of the GAN (Generative Adversarial Network) architecture that aims to learn disentangled and interpretable latent representations by maximizing the mutual information between a subset of the latent codes and the generated outputs. That extra incentive encourages the... -
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LUMINOTH
Deep Learning toolkit for Computer Vision
...It was created to simplify the process of building and experimenting with deep learning models capable of identifying objects within images. Luminoth includes support for popular object detection architectures such as Faster R-CNN and SSD, enabling developers to train models on datasets like COCO and Pascal VOC. The toolkit provides command-line utilities for dataset management, training, and inference, making it easier to integrate into research workflows and production systems. Although the project is no longer actively maintained, it remains a useful educational and experimental platform for studying object detection pipelines and deep learning workflows. -
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SFD
S³FD: Single Shot Scale-invariant Face Detector, ICCV, 2017
...The project builds upon the SSD framework in Caffe, with modifications tailored for face detection tasks. It includes training scripts, evaluation code, and pre-trained models that achieve strong results on popular benchmarks such as AFW, PASCAL Face, FDDB, and WIDER FACE. The framework is optimized for speed and accuracy, making it suitable for both academic research and practical applications in computer vision. -
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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 the same label and an IoU >= 0.5 (Intersection over Union greater than 50%). ... -
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WikiSQL
A large annotated semantic parsing corpus for developing NL interfaces
A large crowd-sourced dataset for developing natural language interfaces for relational databases. WikiSQL is the dataset released along with our work Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning. Regarding tokenization and Stanza, when WikiSQL was written 3-years ago, it relied on Stanza, a CoreNLP python wrapper that has since been deprecated. If you'd still like to use the tokenizer, please use the docker image. We do not anticipate switching... -
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PokemonGo-Bot
The Pokemon Go Bot, baking with community
PokemonGo-Bot is a project created by the PokemonGoF team. Since no public API available for now, a patch to use HASH-Server was applied. PokemonGoF is not part of HASH-Server dev team and has no connection with it. Based on Python for botting on any operating system - Windows, macOS and Linux. Multi-bot supported. Able to edit bot if certain level has reached. Allow custom hash service provider, if any. GPS Location configuration. Search & spin Pokestops / Gyms. Diverse options for humanlike behavior from movement to overall game play. ... -
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asyncoro
Python framework for asynchronous, concurrent, distributed programming
...Programs developed with asyncoro have same logic and structure as Python programs with threads, except for a few syntactic changes. asyncoro supports socket I/O notification mechanisms epoll, kqueue, /dev/poll (and poll and select, where necessary), and Windows I/O Completion Ports (IOCP) for high performance and scalability, and SSL for security -
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...Pikzie provides more Pythonish API(*) and more usefull test result output rather than PyUnit (unittest.py). (*) PEP 8 -- Style Guide for Python Code: http://www.python.org/dev/peps/pep-0008/
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Promet-ERP
An Management System for Contacts,Messages,Documents,Orders,Projects
Promet ERP is an ERP system in addition to the ERP functionality also provides message management, task / project management, document management. Any functionality can also be used individually. All data is stored in a central database. MSSQL, PostgereSQL, Firebird, SQLite, are the supported database systems. Orders, persons, articles can be managed with the ERP functionality. With the integrated report generator reports can be created visually. The Document Management helps to... -
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OpenLP - Free Church Worship Software
Free church worship presentation software
Open Source Worship Presentation Software. This project has moved to Launchpad: https://launchpad.net/openlp -
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Neural Libs
Neural network library for developers
This project includes the implementation of a neural network MLP, RBF, SOM and Hopfield networks in several popular programming languages. The project also includes examples of the use of neural networks as function approximation and time series prediction. Includes a special program makes it easy to test neural network based on training data and the optimization of the network. -
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N.Tesla
Numerical Transient Simulator for Power System
...If you have any questions, please contact the author by send email to [lichgang AT gmail DOT com] or leave feedback in the Discussion forum. Mailing List for N.Tesla: http://www.freelists.org/list/ntesla Mailing List for N.Tesla Developer: http://www.freelists.org/list/ntesla-dev -
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Pyringe
Debugger capable of attaching to and injecting code into python
...It blends debugger-style attachment (via gdb/ptrace techniques) with Python-aware helpers so you can inspect threads, frames, locals, and heap objects without restarting the target. This is invaluable for post-mortem diagnosis of production daemons where reproducing a bug in a dev shell is impractical. pyringe can inject arbitrary Python into the target process, enabling on-the-spot logging, state dumps, or gentle patching to keep a system limping along while you gather evidence. It’s also useful for forensic snapshots: enumerate objects of a certain type, find reference cycles, or measure memory pressure without pre-instrumentation. ... -
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DaVinci OS
Linux Operating System based on openSUSE 13.1 by Tóca
DaVinci Operating System is an Operating System craeted by Tóca CompuGlobal Corporation,Inc based on openSUSE 13.1 and GNU Linux. It´s currently 64 BITS and UEFI devices only. -
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OpenGL based 2D/3D graphic crossplatform engine written on Free Pascal. Very amateurish. Currently project PhloXLib stopped or developed very slow.
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JSolutions
The solution to all your problems
The Jsolution package is a collection of programs, scripts,libraries and documents that i have written and use in my daily life. -
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TacoNET
Cross platform darknet written in python
...There will be gui weirdness, useless error messages, spelling/grammer mistakes, and of course some features may not work 100% in all cases. This will, of course, improve over time. Project dev has stopped here, all further dev @ https://github.com/withorwithoutgod/taconet -
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EnDiskEx
Bulk extractor for Ensoniq-formatted disk images
...There also exists a disk mapping feature to correct for any errors in this process caused by having relabeled disks, forgotten to label disks, etc. EnDiskEx has been tested and validated against a variety of RAW, GKH, EDE, and EDA images files the dev team has, including but not limited to, the ASR factory disks, the EPS 16+ factory disks, and the EPS (classic) factory disks.
