Popular GitHub Repositories for Override Cascade

OpenMMLab Detection Toolbox and Benchmark

AI绘画资料合集（包含国内外可使用平台、使用教程、参数教程、部署教程、业界新闻等等） Stable diffusion、AnimateDiff、Stable Cascade 、Stable SDXL Turbo

C++ image processing and machine learning library with using of SIMD: SSE, AVX, AVX-512, AMX for x86/x64, NEON for ARM.

[ACL 2020] A Novel Cascade Binary Tagging Framework for Relational Triple Extraction

[Pedestron] Generalizable Pedestrian Detection: The Elephant In The Room. @ CVPR2021

convert mmdetection model to tensorrt, support fp16, int8, batch input, dynamic shape etc.

Implementation based on the paper Li et al., “A Convolutional Neural Network Cascade for Face Detection, ” 2015 CVPR

想曰 - 文本加密让你想曰就曰，曰你所想。 | Want to say - Text encryption allows you to express what you want to say and convey your thoughts.

Driver Drowsiness Detector detects if a driver or a person is drowsy or not, using their eye movements.

Deep Learning Summer School + Tensorflow + OpenCV cascade training + YOLO + COCO + CycleGAN + AWS EC2 Setup + AWS IoT Project + AWS SageMaker + AWS API Gateway + Raspberry Pi3 Ubuntu Core

:camera: Object detection with OpenCV on Java. DNN, HaarCascade, Template Matching, Color Detection etc.

Scene text detection and recognition based on Extremal Region(ER)

A binary library for very fast face detection using compact CNNs.

AI and machine leaning-based computer vision for a robot

Implementation of Facial Recognition System Using Facenet based on One Shot Learning Using Siamese Networks

CDeC-Net: Composite Deformable Cascade Network for Table Detection in Document Images

[HPCA'21] SpAtten: Efficient Sparse Attention Architecture with Cascade Token and Head Pruning

This is an official implementation of the paper : "Target before Shooting: Accurate Anomaly Detection and Localization under One Millisecond via Cascade Patch Retrieval" (Accepted by IEEE TIP)

Notebook for accessing local webcam within Google Colab on Images and Videos. Basic tutorial running face detection on webcam image and video.

本NER项目包含多个中文数据集，模型采用BiLSTM+CRF、BERT+Softmax、BERT+Cascade、BERT+WOL等，最后用TFServing进行模型部署，线上推理和线下推理。