womenhenzhiliu's repositories
attMPTI
[CVPR 2021] Few-shot 3D Point Cloud Semantic Segmentation
changeable_region_detection
A changeable region detection method based on yolov5
CrossPoint
Official implementation of "CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding" (CVPR, 2022)
Diffusion-Models-Papers-Survey-Taxonomy
Diffusion model papers, survey, and taxonomy
FastestDet
:zap: A newly designed ultra lightweight anchor free target detection algorithm， weight only 250K parameters， reduces the time consumption by 10% compared with yolo-fastest, and the post-processing is simpler
Graph-WaveNet
graph wavenet
MERIT
A PyTorch implementation of "Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning", IJCAI-21
MolCLR
Implementation of "Molecular Contrastive Learning of Representations via Graph Neural Networks" in PyTorch Geometric
PCT
Jittor implementation of PCT:Point Cloud Transformer
PointFlow
PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows
pointnet.pytorch
pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593
Pyqt5_yolov5_unet_centernet
集yolov5、centernet、unet算法的pyqt5界面，可实现图片目标检测和语义分割
pytorch_geometric
Graph Neural Network Library for PyTorch
tensorflow_object_counting_api
🚀 The TensorFlow Object Counting API is an open source framework built on top of TensorFlow and Keras that makes it easy to develop object counting systems!
unbox_yolov5_deepsort_counting
yolov5 deepsort 行人 车辆 跟踪 检测 计数
Yolo-Fastest
:zap: Based on yolo's ultra-lightweight universal target detection algorithm, the calculation amount is only 250mflops, the ncnn model size is only 666kb, the Raspberry Pi 3b can run up to 15fps+, and the mobile terminal can run up to 178fps+
Yolo-FastestV2
:zap: Based on Yolo's low-power, ultra-lightweight universal target detection algorithm, the parameter is only 250k, and the speed of the smart phone mobile terminal can reach ~300fps+
yoloair
🔥🔥🔥YOLOv5, YOLOv6, YOLOv7, PPYOLOE, YOLOX, YOLOR, YOLOv4, YOLOv3, PPYOLO, PPYOLOv2, Transformer, Attention, TOOD and Improved-YOLOv5-YOLOv7... Support to improve backbone, neck, head, loss, IoU, NMS and other modules🚀
yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
Yolov5-Deepsort
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
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
Yolov5_StrongSORT_OSNet
Real-time multi-camera multi-object tracker using YOLOv5 and StrongSORT with OSNet
yolov7
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors