OpenMMLab Detection Toolbox and Benchmark
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
A simplified implemention of Faster R-CNN that replicate performance from origin paper
Tensorflow Faster RCNN for Object Detection
Deep Learning toolkit for Computer Vision.
Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome
Caffe models (including classification, detection and segmentation) and deploy files for famouse networks
计算机视觉相关论文整理、记录、分享; 包括图像分类、目标检测、视觉跟踪/目标跟踪、人脸识别/人脸验证、OCR/场景文本检测及识别等领域。欢迎加星,欢迎指正错误,同时也期待能够共同参与！！! 持续更新中... ...
High level network definitions with pre-trained weights in TensorFlow
FastER RCNN built on tensorflow
An Agnostic Computer Vision Framework - Pluggable to any Training Library: Fastai, Pytorch-Lightning with more to come
[Pedestron] Generalizable Pedestrian Detection: The Elephant In The Room. @ CVPR2021
Object detection with multi-level representations generated from deep high-resolution representation learning (HRNetV2h). This is an official implementation for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919
Code for FCHD - A fast and accurate head detector
Build fully-functioning computer vision models with PyTorch
convert mmdetection model to tensorrt, support fp16, int8, batch input, dynamic shape etc.