Localize and identify multiple objects in a single image.
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Updated
May 23, 2023 - Python
Localize and identify multiple objects in a single image.
Object Detection Metrics. 14 object detection metrics: mean Average Precision (mAP), Average Recall (AR), Spatio-Temporal Tube Average Precision (STT-AP). This project supports different bounding box formats as in COCO, PASCAL, Imagenet, etc.
(Pretrained weights provided) EfficientDet: Scalable and Efficient Object Detection implementation by Signatrix GmbH
An Agnostic Computer Vision Framework - Pluggable to any Training Library: Fastai, Pytorch-Lightning with more to come
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Multi-person Human Pose Estimation with HRNet in Pytorch
Distribution-Aware Coordinate Representation for Human Pose Estimation
Implementation of various human pose estimation models in pytorch on multiple datasets (MPII & COCO) along with pretrained models
[CVPR 2021] VirTex: Learning Visual Representations from Textual Annotations
Convert segmentation RGB mask images to COCO JSON format
Convert VOC format XMLs to COCO format json
IBM Code Model Asset Exchange: Show and Tell Image Caption Generator
How to train an instance segmentation model with mmdetection
Chainer implementation of Pose Proposal Networks
a subset of coco dataset for faster experimentation
Keras-tensorflow implementation of PersonLab (https://arxiv.org/abs/1803.08225)
Automatic License Plate Recognition for Traffic Violation Management made with YOLOv4, Darknet, Tensorflow Lite
My solutions for Assignments of CS231n: Convolutional Neural Networks for Visual Recognition
Pytorch implementation of "AutoAssign: Differentiable Label Assignment for Dense Object Detection"
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