rolsheng's Stars
gin-gonic/gin
Gin is a HTTP web framework written in Go (Golang). It features a Martini-like API with much better performance -- up to 40 times faster. If you need smashing performance, get yourself some Gin.
facebookresearch/segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
huggingface/pytorch-image-models
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
open-mmlab/mmdetection
OpenMMLab Detection Toolbox and Benchmark
amusi/CVPR2024-Papers-with-Code
CVPR 2024 论文和开源项目合集
pyecharts/pyecharts
🎨 Python Echarts Plotting Library
jindongwang/transferlearning
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
milesial/Pytorch-UNet
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
openvinotoolkit/anomalib
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
Computer-Vision-in-the-Wild/CVinW_Readings
A collection of papers on the topic of ``Computer Vision in the Wild (CVinW)''
IDEA-Research/OpenSeeD
[ICCV 2023] Official implementation of the paper "A Simple Framework for Open-Vocabulary Segmentation and Detection"
v-iashin/video_features
Extract video features from raw videos using multiple GPUs. We support RAFT flow frames as well as S3D, I3D, R(2+1)D, VGGish, CLIP, and TIMM models.
belltailjp/selective_search_py
Python-based implementation of the Selective Search for Object Recognition.
megvii-research/FSCE
ZhenglinZhou/Data_Augmentation_Zoo_for_Object_Detection
Includes: Learning data augmentation strategies for object detection | GridMask data augmentation | Augmentation for small object detection in Numpy. Use RetinaNet with ResNet-18 to test these methods on VOC and KITTI.
mcahny/object_localization_network
Learning Open-World Object Proposals without Learning to Classify
chuliuT/Tianchi_Fabric_defects_detection
广东工业智造大赛--布匹瑕疵检测复赛代码
fcjian/PromptDet
PromptDet: Towards Open-vocabulary Detection using Uncurated Images, ECCV2022
piddnad/few-shot-object-detection-papers
📄 A paper list of Few-shot Object Detection.
gathierry/FastFlow
sungwool/CFA_for_anomaly_localization
xiaofeng94/VL-PLM
Exploiting unlabeled data with vision and language models for object detection, ECCV 2022
dculibrk/edge_boxes_with_python
A python wrapper for Edge Boxes object proposal generation
RookieHong/python-objectness
Python implementation of the PAMI 2012 paper "Measuring the Objectness of Image Windows" and the CVPR 2010 paper "What is an object ?"
fcjian/RPL
Offline Regional Prompt Learning (RPL) of PromptDet(ECCV2022)
tyb197/leetcode-master
LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀