Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
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Updated
Jan 15, 2024 - Python
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
🎥 Python and OpenCV-based scene cut/transition detection program & library.
The World's Leading Cross Platform AI Engine for Edge Devices
Keras code and weights files for the VGG16-places365 and VGG16-hybrid1365 CNNs for scene classification
YAPO e+ - Yet Another Porn Organizer (extended)
Code repository for paper https://www.sciencedirect.com/science/article/pii/S0031320320300613 @ Pattern Recognition 2020
[IROS 2020] Indoor Scene Recognition in 3D
Solve classical computer vision topic, image recognition, with simplest method, tiny images and KNN(K Nearest Neighbor) classification, and then move forward to the state-of-the-art techniques, bags of quantized local features and linear classifiers learned by SVC(support vector classifier).
Semantic Segmentation PyTorch code for our paper: Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)
This repository contains the codebase for MovieCLIP: Visual Scene Recognition in Movies
A script designed to recognise a particular screen or image on-screen, and change scene in OBS
This repository contains the dataset and the source code for the detection of visual relationships with the Logic Tensor Networks framework.
This project is to use deep learning to auto classify the scene images with limited amount of training images.
DeepEye is a surveillance application leveraging the current sate of art deep learning and computer vision techniques. Current back-end framework uses Google Object Detection Api for object detection and tracking. It is open-source and feel free to modify for your own usage.
A practical implementation of pixel level segmentation based road detection and steering angle estimation methods.
scene classification for 360 photos
Timecode and chapter generator for YouTube videos based on heuristic scene detection and CLIPxGPT Captioner
When CNNs Meet Random RNNs: Towards Multi-Level Analysis for RGB-D Object and Scene Recognition (CVIU 2022)
Machine Learning: generalized pooling functions of max and average pooling
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