Go package for computer vision using OpenCV 4 and beyond. Includes support for DNN, CUDA, and OpenCV Contrib.
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Updated
May 14, 2024 - Go
Go package for computer vision using OpenCV 4 and beyond. Includes support for DNN, CUDA, and OpenCV Contrib.
Official implementation of "CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding" (CVPR, 2022)
This POC is using CNTK 2.1 to train model for multiclass classification of images. Our model is able to recognize specific objects (i.e. toilet, tap, sink, bed, lamp, pillow) connected with picture types we are looking for. It plays a big role in a process which will be used to classify pictures from different hotels and determine whether it's a…
NVIDIA DeepStream SDK
[WACV 2019 Oral] Deep Micro-Dictionary Learning and Coding Network
A guide to implementing a Convolutional Neural Network for Object Classification using Keras in Python
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Use TensorFlow and convolutional neural networks with PowerAI to classify radio signals from outer space
Codes for our paper "Deep Patch Learning for Weakly Supervised Object Classification and Discovery".
3D object classification using dictionary learning and RGB-D covariance descriptors.
Implementation of Spatial Pyramid Pooling (SPP-net) in Keras for object classification and detection
记录每一个常用的深度模型结构的特点(图和代码)
🎥 iOS11 demo application for dominant objects detection.
Object counting with Yolov7.
This is an official implementation for "AutoFocusFormer: Image Segmentation off the Grid".
my notes from CNN course of Deep Learning by Andrew Ng
Simple object classification project with deep-learning. We choose CIFAR10, CIFAR100 and Caltech101 as training datasets.
Multiple approaches tried for Object classification on Caltech 101 Dataset
A simple Node Red subflow for People and Pets detection in Home Automation
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