GitHub

Concurrent Python made simple

In Pyper, the task decorator is used to transform functions into composable pipelines. Let's simulate a pipeline that performs a series of transformations on some data.
How-To Geek on MSN

The secret Python switch: How one flag makes your scripts run faster

Python -O won’t magically make every script faster, but in the right workloads it’s a free win—here’s how to test it safely.
IEEE

An Efficient Point Spread Function Inversion Method for Image-Domain One-Way Wave-Equation Least-Squares Migration

Abstract: Image-domain least-squares migration (LSM) has demonstrated promising potential in enhancing the spatial resolution of migration images effectively and efficiently. However, existing ...
IEEE

Point Cloud Surface Reconstruction using Sparse Ellipsoid Radial Basis Function Neural Network

Abstract: In this paper, we propose a method of reconstructing surface from point cloud using sparse ellipsoid radial basis functions(RBFs). The experimental results ...
IEEE

Haawking IQmath: A mathematical function library for the fixed-point Processor

Abstract: Haawking RISC-V IQmath is a mathematical function library for C/C++ programmers to seamlessly integrate the fixed-point digital Signal Processor (DSP) chip DSC28×, greatly reducing ...
GitHub

BobTheBuidler/ez-a-sync

The @a_sync('async') decorator can be used to define an asynchronous function that can also be executed synchronously.
GitHub

ALICE-LRI

ALICE-LRI (Automatic LiDAR Intrinsic Calibration Estimation for Lossless Range Images) is a C++ and Python library for lossless range image generation and reconstruction from spinning 3D LiDAR point ...
IEEE

FPGA Implementation of a Fixed-Point Arctangent Function Using Harmonized Parabolic Synthesis

Abstract: Harmonized Parabolic Synthesis (HPS) is a method that combines parabolic synthesis with seconddegree interpolation. In this work, we implement an arctangent ...
GitHub

This is the official PyTorch implementation of our paper "Grad-PU: Arbitrary-Scale Point Cloud Upsampling via Gradient Descent with Learned Distance Functions" (CVPR 2023).

Most existing point cloud upsampling methods have roughly three steps: feature extraction, feature expansion and 3D coordinate prediction. However, they usually suffer from two critical issues: (1) ...
IEEE

Towards Single-Lens Controllable Depth-of-Field Imaging via Depth-Aware Point Spread Functions

Abstract: Controllable Depth-of-Field (DoF) imaging commonly produces amazing visual effects based on heavy and expensive high-end lenses. However, confronted with the increasing demand for mobile ...
rnz

Australian woman wakes up to find 2.5m carpet python on top of her

When Brisbane resident Rachel Bloor woke up to discover a carpet python curled up on top of her, she was rattled. The two-and-a-half-metre snake crawled onto her bed late on Monday evening. When Bloor ...
IEEE

PsfDeconNet: High-Resolution Seismic Imaging Using Point-Spread Function Deconvolution With Generative Adversarial Networks

Abstract: Least-squares migration (LSM) aims to seek the best-fit solution for subsurface reflectivity with high image resolution and balanced amplitudes by minimizing the mismatching between ...