Mars Terrain Classification Using Machine Learning
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Updated
Jun 1, 2024 - Jupyter Notebook
Mars Terrain Classification Using Machine Learning
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
My Deep Learning Projects (Classification, Segmentation, Object Detection, NLP, Deep Multiple Instance Learning)
An annotation and instance segmentation-based multiple animal tracking and behavior analysis package.
GDR-Net: Geometry-Guided Direct Regression Network for Monocular 6D Object Pose Estimation. (CVPR 2021)
This is a Fashion-visualizer based on finetuned detectron2 model with iMaterialist FGVC7 dataset
Free Maplestory Bot 2024
A General Tracking Framework for ML-based Time-Symmetric Tracking.
This project uses image processing to measure the size and distance of objects, focusing on veggies without physical contact. It integrates AI and IT to improve agricultural efficiency. The use of modified Canny edge detection and Multiscale Faster-NN algorithms enables real-time measurement and flaw identification.
💡💡💡awesome compute vision app in gradio
Deploy Computer Vision solutions with a few lines of code.
Amodal Instance Segmentation Toolbox and Benchmark
A real-time application to monitor leopard in urban or rural areas.
Implementation of CLAD: A Continual Learning benchmark for Autonomous Driving. A continual classification and detectin track. Provides pure PyTorch, Avalanche and Detectron2 implementations.
A suite of Python scripts allowing the end-user to use Deep Learning to detect objects in georeferenced raster images.
一份关于detectron2的入门级(训练+预测)的代码demo(目标检测/实例分割/全景分割........);An entry-level (training + prediction) code demo for detectron2 (object detection/instance segmentation/panoramic segmentation...)
Drone Instance Segmentation using Mask RCNNN
This is Pytorch re-implementation of the ICCV 2023 paper "Segmenting Known Objects and Unseen Unknowns without Prior Knowledge" (https://arxiv.org/abs/2209.05407)
将fiftyone集成到detectron2框架,用于评估模型的性能,并开发缺陷检测平台
Officiel implementation of the paper " FlightScope: A Deep Comprehensive Assessment of Aircraft Detection Algorithms in Satellite Imagery "
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