Pinned Repositories
AdelaiDet
AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.
AFFormer
anylabeling
Effortless AI-assisted data labeling with AI support from Segment Anything and YOLO!
ASAM
HangingWheelCalculation
机械加工中计算挂轮
OpenBook
电子书
PaddleOCR
Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)
QGIS
QGIS is a free, open source, cross platform (lin/win/mac) geographical information system (GIS)
qgis-plugin-deepness
Deepness is a remote sensing plugin that enables deep learning inference in QGIS
X-AnyLabeling
Effortless data labeling with AI support from Segment Anything and other awesome models.
d710055071's Repositories
d710055071/YOLOv6
YOLOv6: a single-stage object detection framework dedicated to industrial applications.
d710055071/YOLOX
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
d710055071/CenterNet
Object detection, 3D detection, and pose estimation using center point detection:
d710055071/dl_scripts
d710055071/Swin-Transformer
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
d710055071/ritm_interactive_segmentation
Reviving Iterative Training with Mask Guidance for Interactive Segmentation
d710055071/PersFormer_3DLane
[ECCV2022 oral] Perspective Transformer on 3D Lane Detection
d710055071/gpt-2
Code for the paper "Language Models are Unsupervised Multitask Learners"
d710055071/AFFormer
d710055071/U-2-Net
The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."
d710055071/e2ec
E2EC: An End-to-End Contour-based Method for High-Quality High-Speed Instance Segmentation
d710055071/FT-CLIP
CLIP Itself is a Strong Fine-tuner: Achieving 85.7% and 88.0% Top-1 Accuracy with ViT-B and ViT-L on ImageNet
d710055071/OpenLane
[ECCV 2022 oral] OpenLane: Large-scale Realistic 3D Lane Dataset
d710055071/Cam2BEV
TensorFlow Implementation for Computing a Semantically Segmented Bird's Eye View (BEV) Image Given the Images of Multiple Vehicle-Mounted Cameras.
d710055071/mmrazor
OpenMMLab Model Compression Toolbox and Benchmark.
d710055071/mmgeneration
MMGeneration is a powerful toolkit for generative models, based on PyTorch and MMCV.
d710055071/mmtracking
OpenMMLab Video Perception Toolbox. It supports Video Object Detection (VID), Multiple Object Tracking (MOT), Single Object Tracking (SOT), Video Instance Segmentation (VIS) with a unified framework.
d710055071/Pytorch-Deep-Models
d710055071/mmfewshot
OpenMMLab FewShot Learning Toolbox and Benchmark
d710055071/Segmentation-Pytorch
Semantic Segmentation in Pytorch. Network include: FCN、FCN_ResNet、SegNet、UNet、BiSeNet、BiSeNetV2、PSPNet、DeepLabv3_plus、 HRNet、DDRNet
d710055071/yolov5-deepsort-tensorrt
A c++ implementation of yolov5 and deepsort
d710055071/CrowdDetection
d710055071/CrowdDet
d710055071/semantic-segmentation
Nvidia Semantic Segmentation monorepo
d710055071/LaneAF
d710055071/PolyLaneNet
Code for the paper entitled "PolyLaneNet: Lane Estimation via Deep Polynomial Regression" (ICPR 2020)
d710055071/conditional-lane-detection
d710055071/lanenet-lane-detection
Unofficial implemention of lanenet model for real time lane detection using deep neural network model https://maybeshewill-cv.github.io/lanenet-lane-detection/
d710055071/segmentation_tools
tools that converts binary mask to labelme format and labelme format to mask.
d710055071/onnx2X
ONNX2Pytorch