sumingming123

sumingming123's Stars

• ultralytics/yolov5

  YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

  Language:Python52k3739.3k16.6k

• rafaelpadilla/Object-Detection-Metrics

  Most popular metrics used to evaluate object detection algorithms.

  Language:Python5k701501k

• google-research/frame-interpolation

  FILM: Frame Interpolation for Large Motion, In ECCV 2022.

  Language:Python2.9k420286

• uzh-rpg/rpg_esim

  ESIM: an Open Event Camera Simulator

  Language:C60920122127

• uzh-rpg/rpg_vid2e

  Open source implementation of CVPR 2020 "Video to Events: Recycling Video Dataset for Event Cameras"

  Language:Python337216682

• SensorsINI/v2e

  V2E: From video frames to DVS events

  Language:Python316116755

• vicoslab/mixed-segdec-net-comind2021

  Official PyTorch implementation for "Mixed supervision for surface-defect detection: from weakly to fully supervised learning"

  Language:Python29963890

• uzh-rpg/rpg_asynet

  Code for the paper "Event-based Asynchronous Sparse Convolutional Networks" (ECCV, 2020).

  Language:Python132113422

• LarryDong/event_representation

  Event-based camera data representation and processing. Some common representations and reference codes.

  Language:Python1224118

• uzh-rpg/rpg_davis_simulator

  Simulate a DAVIS camera from synthetic Blender scenes

  Language:Python11117623

• kun150kun/ESLAM-Survey

  Event-based Simultaneous Localization and Mapping: A Survey

  1048110

• siddhartamukherjee/NEU-DET-Steel-Surface-Defect-Detection

  This project is about detecting defects on steel surface using Unet. The dataset used for this project is the NEU-DET database.

  Language:Jupyter Notebook981430

• alexzzhu/EventGAN

  Official repository for the paper: Zhu, Alex Zihao, et al. "EventGAN: Leveraging Large Scale Image Datasets for Event Cameras." arXiv preprint arXiv:1912.01584 (2019).

  Language:Python696810

• vlislab2022/Awesome-Events-Deep-Learning

  58407

• lmomoy/LF-YOLO

  LF-YOLO (Lighter and Faster YOLO) is used to detect defect of X-ray weld image.

  Language:Python54378

• SongGuorong/EDRNet

  ⚡EDRNet:Encoder-Decoder Residual Network for Salient Object Detection of Strip Steel Surface Defects

  Language:Python51186

• tub-rip/events_viz

  Visualize event camera data in Python (EVIS course at TU Berlin)

  Language:Python515012

• adipandas/one-shot-steel-surfaces

  One-Shot Recognition of Manufacturing Defects in Steel Surfaces

  Language:Jupyter Notebook405111

• KugaMaxx/cuke-emlb

  A benchmark for event-based denoising.

  Language:C++342135

• Wuziyi616/LEOD

  Code release for CVPR 2024 paper LEOD: Label-Efficient Object Detection for Event Cameras

  Language:Python33314

• lyh983012/ES-imagenet-master

  code for generating data set ES-ImageNet with corresponding training code

  Language:Jupyter Notebook29142

• HarmoniaLeo/FRLW-EvD

  Code of Liu, Bingde, et al. "Motion robust high-speed light-weighted object detection with event camera." IEEE Transactions on Instrumentation and Measurement (2023).

  Language:Python231122

• event-driven-robotics/bimvee

  Batch Import, Manipulation, Visualisation and Export of Events etc

  Language:Python165213

• Kunye-Shen/MINet

  Code for TII 2024 paper. MINet: Multiscale Interactive Network for Real-Time Salient Object Detection of Strip Steel Surface Defects

  Language:Python15203

• VDT-2048/CPANet

  12122

• sanket0707/Bimodal-SegNet

  Language:Python6110

• James606240/YOYOF-in-defect-detection

  The first to adopt the YOLOF model on a metal defect NEU-DET dataset. Using several image preprocessing methods, including Edge Detection, Denoising, Sharpening, and SR, were experimented on the metal defect NEU-DET dataset. In the proposed optimized batch size, backbone, soft efficient non-maximum sup-pression (Soft-NMS), and threshold of YOLO.

  Language:Jupyter Notebook5101

• wang-zixuan/Event-Camera-Image-Reconstruction

  Image reconstruction using an event camera.

  Language:Python50

• Wesliee/decoupled-two-stage-framework

  FPCB Surface Defect Detection: A Decoupled Two-Stage Object Detection Framework

  Language:Python32

• yellow07200/ESD_labeling_tool

  Language:MATLAB2120