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).
This repository contains the codebase for MovieCLIP: Visual Scene Recognition in Movies
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 dataset and the source code for the detection of visual relationships with the Logic Tensor Networks framework.
A script designed to recognise a particular screen or image on-screen, and change scene in OBS
This project is to use deep learning to auto classify the scene images with limited amount of training images.
A practical implementation of pixel level segmentation based road detection and steering angle estimation methods.
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.
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)
scene classification for 360 photos
Machine Learning: generalized pooling functions of max and average pooling
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