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The Web Tracing Framework (WTF) is an open source suite of tools, libraries, and visualizers created by Google to help developers analyze and optimize the performance of complex web applications. By adding lightweight instrumentation to their code, developers can trace execution flow, identify bottlenecks, and detect performance regressions. The framework provides fine-grained insights into application behavior, making it particularly useful for achieving smooth, high-performance experiences, such as maintaining 60fps animations in web interfaces. It includes visualization tools that allow for detailed analysis of timing, resource usage, and event flow, enabling developers to diagnose and fix inefficiencies effectively. ...
Convolutional neural network model for video classification
Kinetics-I3D, developed by Google DeepMind, provides trained models and implementation code for the Inflated 3D ConvNet (I3D) architecture introduced in the paper “Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset” (CVPR 2017). The I3D model extends the 2D convolutional structure of Inception-v1 into 3D, allowing it to capture spatial and temporal information from videos for action recognition. This repository includes pretrained I3D models on the Kinetics dataset, with both RGB and optical flow input streams. ...
The 'pysourceinfo' package provides source information on Python runtime objects
based on 'inspect', 'sys', 'os', and 'imp'.
The covered objects include packages, modules, functions, methods, scripts,
and classes by two views:
- File System View - packages, modules, and linenumbers - based on files and paths
- Runtime Object View - callables, classes, and containers - based on in-memory RTTI / introspection
The supported platforms are:
- Linux, BSD, Unix, OS-X, Cygwin, and...