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Generative Models by Stability AI
⚡️An Easy-to-use and Fast Deep Learning Model Deployment Toolkit for ☁️Cloud 📱Mobile and 📹Edge. Including Image, Video, Text and Audio 20+ main stream scenarios and 150+ SOTA models with end-to-end…
Instruct-tune LLaMA on consumer hardware
2021青海省首届河湟杯数据湖算法大赛—Pedestrian attribute recognition project : Some personal experiments on the Rethinking baseline
A simple baseline implemented in PyTorch for pedestrian attribute recognition task, evaluating on Market-1501 and DukeMTMC-reID dataset.
a solid and strong baseline of pedestrian attribute recognition
Pytorch implementation of pedestrian attribute recognition with graph convolutional network
Pytorch Pedestrian Attribute Recognition: A strong PyTorch baseline for pedestrian attribute recognition and multi-label classification.
A simple baseline for pedestrian attribute recognition in surveillance scenarios
Detection and recognition of multiple human attributes
Code for the paper "Improving Pedestrian Attribute Recognition With Weakly-Supervised Multi-Scale Attribute-Specific Localization", ICCV 2019, http://arxiv.org/abs/1910.04562.
🚀Simple and efficient use for Ultralytics yolov8🚀
🔨🔨🔨(mmplot)used to draw graphs of multiple index parameters such as algorithm accuracy and speed of multiple deep learning models.
EVA Series: Visual Representation Fantasies from BAAI
PyTorch Re-Implementation of EAST: An Efficient and Accurate Scene Text Detector
yolov5 deepsort 行人 车辆 跟踪 检测 计数
最新版本yolov5+deepsort目标检测和追踪，能够显示目标类别，支持5.0版本可训练自己数据集
Yolov5 deepsort inference，使用YOLOv5+Deepsort实现车辆行人追踪和计数，代码封装成一个Detector类，更容易嵌入到自己的项目中
🔥🔥🔥 专注于YOLO11，YOLOv8、TYOLOv12、YOLOv10、RT-DETR、YOLOv7、YOLOv5改进模型，Support to improve backbone, neck, head, loss, IoU, NMS and other modules🚀
pytorch implementation of openpose including Hand and Body Pose Estimation.
Openpose from CMU implemented using Tensorflow
A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility
Official Implementation of Space-Time-Aware Multi-Resolution Video Enhancement (CVPR2020) using PyTorch
Image augmentation for machine learning experiments.
This is a resouce list for low light image enhancement