Search Results for "detection"

...When a loop closure hypothesis is accepted, a new constraint is added to the map’s graph, then a graph optimizer minimizes the errors in the map. A memory management approach is used to limit the number of locations used for loop closure detection and graph optimization so that real-time constraints on large-scale environments are always respected. RTAB-Map can be used alone with a handheld Kinect, a stereo camera or a 3D lidar for 6DoF mapping, or on a robot equipped with a laser rangefinder for 3DoF mapping.

...It brings artificial intelligence right at your fingertips with no third-party dependencies, and speeds faster than all other known open source frameworks for mobile phone cpu. ncnn allows developers to easily deploy deep learning algorithm models to the mobile platform and create intelligent APPs. It is cross-platform and supports most commonly used CNN networks, including Classical CNN (VGG AlexNet GoogleNet Inception), Face Detection (MTCNN RetinaFace), Segmentation (FCN PSPNet UNet YOLACT), and more. ncnn is currently being used in a number of Tencent applications, namely: QQ, Qzone, WeChat, and Pitu.

Calibre-Web-Automated (CWA) is an all-in-one, self-hosted solution for managing an ebook library that combines the modern, lightweight web UI style of Calibre-Web with the deeper tooling and conversion capabilities associated with Calibre. The goal is to reduce the common “two-service” setup where users run Calibre-Web for browsing and Calibre separately for conversions, metadata fixes, and automation, by packaging those workflows together in a single system. CWA keeps the familiar strengths...

WBBlades is a toolset based on Mach-O file parsing, including one-click detection for the app (supports OC and Swift), package size analysis (supports a single static library/dynamic library), point-to-point crash analysis (analyze system crash log, based on symbol file and without symbol files), Class automatic extraction and Hook capability based on Mach-O file. It mainly uses __Text assembly code analysis, architecture extraction, DYSM file stripping, symbol table stripping, and crash file (ips) analysis technology. ...

TNN, a high-performance, lightweight neural network inference framework open sourced by Tencent Youtu Lab. It also has many outstanding advantages such as cross-platform, high performance, model compression, and code tailoring. The TNN framework further strengthens the support and performance optimization of mobile devices on the basis of the original Rapidnet and ncnn frameworks. At the same time, it refers to the high performance and good scalability characteristics of the industry's...

react-native-responsive-screen is a small library that provides 2 simple methods so that React Native developers can code their UI elements fully responsive. No media queries are needed. It also provides an optional third method for screen orientation detection and automatic rerendering according to new dimensions. After the package has been installed, when the application loads (in real device and/or emulator), it detects the screen's width and height. I.e. for Samsung A5 2017 model, it detects width: 360DP and height: 640DP (these are the values without taking into account the device's scale factor).

Retain cycles are one of the most common ways of creating memory leaks. It's incredibly easy to create a retain cycle, and tends to be hard to spot it. The goal of FBRetainCycleDetector is to help find retain cycles at runtime. The features of this project were influenced by Circle. FBRetainCycleDetector will look for cycles that are no longer than 10 objects. We can make it bigger (although it's going to be slower!). There could also be retain cycles that we would like to omit. It's because...