Indiatimes

IISc CCE announces 6G ML course with Python, AI modules and evening online classes; check ...

The Indian Institute of Science has announced an online course on machine learning for 6G wireless communication under its Centre for Continuing Education (CCE). The programme is scheduled to run from ...
GitHub

A PyTorch implementation of simple Mask R-CNN.

It is pure python code and can be run immediately using PyTorch 1.4 without build Simplified construction and easy to understand how the model works The code is based largely on TorchVision, but ...
Frontiers

End-to-end 3D instance segmentation of synthetic data and embryo microscopy images with a ...

In recent years, the exploitation of three-dimensional (3D) data in deep learning has gained momentum despite its inherent challenges. The necessity of 3D approaches arises from the limitations of two ...
IEEE

Python to FPGA: Automatic Implementation of custom CNN Model on FPGA

Abstract: With the rapid development of artificial intelligence neural network technology, the architecture of convolutional neural networks (CNNs) has been evolving towards greater complexity and ...
Scientific Research Publishing

Detection of Water Meter Digits Based on Improved Faster R-CNN ()

In order to more accurately detect the accuracy of word-wheel water meter digits, 2000 water meter pictures were produced, and an improved Faster-RCNN algorithm for detecting water meter digits was ...
IEEE

Implementation of CNN on Zynq based FPGA for Real-time Object Detection

Abstract: The aim of this work is to implement a Convolutional Neural Network (CNN) using a Python framework on Xilinx® Zynq® based Field Programmable Gate Array (FPGA). And the prototype is used to ...
GitHub

Mask R-CNN for single-cell segmentation

This implementation of Mask R-CNN is designed for single-cell instance segmentation in the context of multiplexed tissue imaging. The model generates bounding boxes and segmentation masks for each ...