Search Results for "shape detection"

...Jittor'op is similar to NumPy. Let's try some operations. We create Var a and b via operation jt.float32, and add them. Printing those variables shows they have the same shape and dtype.

...PII Blackout is a powerful, local-first desktop application that automates the tedious process of finding and masking Personally Identifiable Information (PII) with military-grade security. Key Features: Smart Auto-Detection & Redaction Manually searching for emails, phone numbers, tax IDs, and names is a thing of the past. PII Blackout automatically scans, detects, and blackouts sensitive data points across your documents in one click. Absolute, Irreversible Security (Image-Level Blackout) Unlike standard PDF editors that merely place a black shape over editable text (which can easily be copied or uncovered), PII Blackout flattens and bakes the redaction directly into the image surface of the document. ...

DiLu Converter is a powerful Excel import and export tool that supports more than 10 databases such as MySQL, Oracle, SQL Server, PostgreSQL and so on. The supported file formats include xls, xlsx, xlsm, xlsb, csv, txt, xml, json, and dbf. Its native user interface brings users a comfortable experience of simplified Excel import and export, making Excel import and export easier than ever before. Whether you want one-click, batch, and personalized import and export, or want to use...

Visit our new site: http://socnetv.org Social Network Visualizer (SocNetV) is a social network analysis and visualization application. You can draw a social network (graph/digraph) or load an existing one (GraphML, UCINET, Pajek, etc), compute cohesion, centrality, community and structural equivalence metrics and apply various layout algorithms based on actor centrality or prestige scores (i.e. Eigenvector, Betweenness) or on dynamic models (i.e. Kamada-Kawai spring-embedder)

ChainerCV is a collection of tools to train and run neural networks for computer vision tasks using Chainer. In ChainerCV, we define the object detection task as a problem of, given an image, bounding box-based localization and categorization of objects. Bounding boxes in an image are represented as a two-dimensional array of shape (R,4), where R is the number of bounding boxes and the second axis corresponds to the coordinates of bounding boxes. ChainerCV supports dataset loaders, which can be used to easily index examples with list-like interfaces. ...

...Instead of first generating boxes and then refining them, the network predicts a foreground mask and an “objectness” score for a given image patch, yielding high-quality segment proposals suitable for downstream detection or instance segmentation. The model is trained end-to-end to align mask shape with object extent, which markedly improves recall at a manageable number of proposals. In practice, DeepMask is run on an image pyramid with a sliding window, followed by non-maximum suppression to produce a compact set of candidates. A companion refinement model (SharpMask) sharpens the coarse predictions, recovering fine boundaries like thin limbs or object edges. ...

The Image-based Vascular Analysis Toolkit is a set of multiplatform C++ libraries for vascular analysis of (3D) medical images, typically CT or MRI. It can be considered as an extension of the Insight Toolkit (ITK) for vascular image analysis, with methods for detection, extraction and modeling of vascular structures.

SGI allows to define and interpret most of undeterministic 2D shape grammars. It supports real-time subshape detection and labeled rules. GUI is designed for easy manipulation with shape grammars: creation of shapes, rules and generation of designs.

This project aims to develop an interaction framework based on body detection by webcams, identifying the skeleton shape (hands, arms, head, legs etc), for games, virtual reality, augmented reality and other applications.