A simple python module to generate anchor (aka default/prior) boxes for object detection tasks.

Overview

PyBx

WIP

A simple python module to generate anchor (aka default/prior) boxes for object detection tasks. Calculated anchor boxes are returned as ndarrays in pascal_voc format by default.

Installation

pip install pybx

Usage

To calculate the anchor boxes for a single feature size and aspect ratio, given the image size:

from pybx import anchor

image_sz = (300, 300, 3)
feature_sz = (10, 10)
asp_ratio = 1/2.

anchor.bx(image_sz, feature_sz, asp_ratio)

To calculate anchor boxes for multiple feature sizes and aspect ratios:

feature_szs = [(10, 10), (8, 8)]
asp_ratios = [1., 1/2., 2.]

anchor.bxs(image_sz, feature_szs, asp_ratios)

More on visualising the anchor boxes here.

Todo

  • Wrapper class for boxes with vis.draw() method
  • Companion notebook
  • IOU check (return best overlap boxes)
  • Return masks
  • Unit tests
  • Specific tests
    • feature_sz of different aspect ratios
    • image_sz of different aspect ratios
  • Move to setup.py
Comments
  • Build and refactor [nbdev]

    Build and refactor [nbdev]

    A refactored version of pybx built using nbdev.

    Added:

    • documentation page: docs, README.md, example walkthrough file
    • GH workflow tests

    Breaking changes:

    • Need area() and valid() are now properties of BaseBx, so .area and .valid would suffice
    • utils methods refactored to utils and ops
    opened by thatgeeman 0
  • Walkthrough issue for PIL mode.

    Walkthrough issue for PIL mode.

    In the step: Ask VisBx to use random logits with logits=True

    vis.VisBx(image_sz=image_sz, logits=True, feature_sz=feature_sz).show(anchors, labels)
    

    Returns a key error: KeyError: ((1, 1, 3), '<i8') and TypeError: Cannot handle this data type: (1, 1, 3), <i8 with PIL.

    good first issue 
    opened by thatgeeman 0
  • Patch 4: Docs, Improvements, Bug fixes

    Patch 4: Docs, Improvements, Bug fixes

    • Refactored major sections of pybx.basics and the BxType
    • Backwards incompatible!
    • Detailed docstrings for all methods and classes
    • Directly visualize arrays in VisBx()
    • Visualize, iterate, __add__ operations for BaseBx
    • Helper function to set and return BxType (get_bx)
    • Several verbal assertions and bug fixes
    • Fixes #3 #2
    • [dev] Updated tests
    opened by thatgeeman 0
  • TypeError: 'BaseBx' object is not iterable

    TypeError: 'BaseBx' object is not iterable

    Describe the bug draw method of vis module tries to iterate over BaseBx during visualisation

    To Reproduce Steps to reproduce the behavior:

    anns = {'label': 5,
     'x_min': 87.0,
     'y_min': 196.0,
     'x_max': 1013.0,
     'y_max': 2129.0}
    
    from pybx.ops import make_array
    coords, label = make_array(anns)
    
    b = bbx(coords, label)
    vis.draw(img, b)
    
    opened by thatgeeman 0
  • implemented IOU for `BaseBx` and added unittests

    implemented IOU for `BaseBx` and added unittests

    Main commits

    • implemented intersection-over-union (IOU) for BaseBx
    • added unittests for all modules
    • Implemented classmethod and bbx() for BaseBx class to convert all types to BaseBx
    • ops now handles all type conversions (json-array, list-array)
    • bug fixes, best caught:
      • BaseBx method xywh() flipped w and h
      • read keys in order of voc_keys for json annotations)
    • updated README.md and nbs/
    opened by thatgeeman 0
  • Region proposals

    Region proposals

    Is your feature request related to a problem? Please describe. Rather than creating a bunch of anchor boxes based on geometry, create region proposals based on classic signal processing.

    opened by thatgeeman 0
  • Fix notebook (walkthrough)

    Fix notebook (walkthrough)

    Describe the bug

    • [ ] walkthrough link fails
    • [ ] Code import os bug

    To Reproduce Steps to reproduce the behavior:

    1. Go to '...'
    2. Click on '....'
    3. Scroll down to '....'
    4. See error

    Expected behavior A clear and concise description of what you expected to happen.

    Screenshots If applicable, add screenshots to help explain your problem.

    Desktop (please complete the following information):

    • OS: [e.g. iOS]
    • Browser [e.g. chrome, safari]
    • Version [e.g. 22]

    Smartphone (please complete the following information):

    • Device: [e.g. iPhone6]
    • OS: [e.g. iOS8.1]
    • Browser [e.g. stock browser, safari]
    • Version [e.g. 22]

    Additional context Add any other context about the problem here.

    opened by thatgeeman 0
  • Missing sidebar in documentation page

    Missing sidebar in documentation page

    Describe the bug A clear and concise description of what the bug is.

    To Reproduce Steps to reproduce the behavior:

    1. Go to '...'
    2. Click on '....'
    3. Scroll down to '....'
    4. See error

    Expected behavior A clear and concise description of what you expected to happen.

    Screenshots If applicable, add screenshots to help explain your problem.

    Desktop (please complete the following information):

    • OS: [e.g. iOS]
    • Browser [e.g. chrome, safari]
    • Version [e.g. 22]

    Smartphone (please complete the following information):

    • Device: [e.g. iPhone6]
    • OS: [e.g. iOS8.1]
    • Browser [e.g. stock browser, safari]
    • Version [e.g. 22]

    Additional context Add any other context about the problem here.

    opened by thatgeeman 0
Releases(v0.3.0)
  • v0.3.0(Nov 20, 2022)

    A refactored version of pybx built using nbdev.

    Added:

    • documentation page: docs, README.md, example walkthrough file
    • GH workflow tests

    Breaking changes:

    • Need area() and valid() are now properties of BaseBx, so .area and .valid would suffice
    • utils methods refactored to utils and ops
    Source code(tar.gz)
    Source code(zip)
  • v0.2.1(Jan 21, 2022)

    What's Changed

    • Patch 5: Minor fixes by @thatgeeman in https://github.com/thatgeeman/pybx/pull/5
    • Patch 4: Docs, Improvements, Bug fixes by @thatgeeman in https://github.com/thatgeeman/pybx/pull/4

    Full Changelog: https://github.com/thatgeeman/pybx/compare/v0.1.4...v0.2.1

    Source code(tar.gz)
    Source code(zip)
  • v0.1.4(Jan 18, 2022)

    What's Changed

    • implemented IOU for BaseBx and added unittests by @thatgeeman in https://github.com/thatgeeman/pybx/pull/1

    New Contributors

    • @thatgeeman made their first contribution in https://github.com/thatgeeman/pybx/pull/1

    Full Changelog: https://github.com/thatgeeman/pybx/compare/v0.1.3...v0.1.4

    Source code(tar.gz)
    Source code(zip)
Owner
thatgeeman
Physics PhD. Previously @CharlesSadron @CNRS @unistra. Computer Vision.
thatgeeman
A simple configurable bot for sending arXiv article alert by mail

arXiv-newsletter A simple configurable bot for sending arXiv article alert by mail. Prerequisites PyYAML=5.3.1 arxiv=1.4.0 Configuration All config

SXKDZ 21 Nov 09, 2022
Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations)

Graph Neural Networks with Learnable Structural and Positional Representations Source code for the paper "Graph Neural Networks with Learnable Structu

Vijay Prakash Dwivedi 180 Dec 22, 2022
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

Faster R-CNN and Mask R-CNN in PyTorch 1.0 maskrcnn-benchmark has been deprecated. Please see detectron2, which includes implementations for all model

Facebook Research 9k Jan 04, 2023
AntroPy: entropy and complexity of (EEG) time-series in Python

AntroPy is a Python 3 package providing several time-efficient algorithms for computing the complexity of time-series. It can be used for example to e

Raphael Vallat 153 Dec 27, 2022
Facial recognition project

Facial recognition project documentation Project introduction This project is developed by linuxu. It is a face model recognition project developed ba

Jefferson 2 Dec 04, 2022
Official PyTorch Implementation of "Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs". NeurIPS 2020.

Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs This repository is the implementation of SELAR. Dasol Hwang* , Jinyoung Pa

MLV Lab (Machine Learning and Vision Lab at Korea University) 48 Nov 09, 2022
Codes for TIM2021 paper "Anchor-Based Spatio-Temporal Attention 3-D Convolutional Networks for Dynamic 3-D Point Cloud Sequences"

Codes for TIM2021 paper "Anchor-Based Spatio-Temporal Attention 3-D Convolutional Networks for Dynamic 3-D Point Cloud Sequences"

Intelligent Robotics and Machine Vision Lab 4 Jul 19, 2022
A paper using optimal transport to solve the graph matching problem.

GOAT A paper using optimal transport to solve the graph matching problem. https://arxiv.org/abs/2111.05366 Repo structure .github: Files specifying ho

neurodata 8 Jan 04, 2023
[arXiv22] Disentangled Representation Learning for Text-Video Retrieval

Disentangled Representation Learning for Text-Video Retrieval This is a PyTorch implementation of the paper Disentangled Representation Learning for T

Qiang Wang 49 Dec 18, 2022
Deep Learning for Natural Language Processing SS 2021 (TU Darmstadt)

Deep Learning for Natural Language Processing SS 2021 (TU Darmstadt) Task Training huge unsupervised deep neural networks yields to strong progress in

Oliver Hahn 1 Jan 26, 2022
EdiBERT is a generative model based on a bi-directional transformer, suited for image manipulation

EdiBERT, a generative model for image editing EdiBERT is a generative model based on a bi-directional transformer, suited for image manipulation. The

16 Dec 07, 2022
An NLP library with Awesome pre-trained Transformer models and easy-to-use interface, supporting wide-range of NLP tasks from research to industrial applications.

简体中文 | English News [2021-10-12] PaddleNLP 2.1版本已发布!新增开箱即用的NLP任务能力、Prompt Tuning应用示例与生成任务的高性能推理! 🎉 更多详细升级信息请查看Release Note。 [2021-08-22]《千言:面向事实一致性的生

6.9k Jan 01, 2023
CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution

CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution This is the official implementation code of the paper "CondLaneNe

Alibaba Cloud 311 Dec 30, 2022
Code for the SIGIR 2022 paper "Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph Completion"

MKGFormer Code for the SIGIR 2022 paper "Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph Completion" Model Architecture Illu

ZJUNLP 68 Dec 28, 2022
NNR conformation conditional and global probabilities estimation and analysis in peptides or proteins fragments

NNR and global probabilities estimation and analysis in peptides or protein fragments This module calculates global and NNR conformation dependent pro

0 Jul 15, 2021
Combinatorial model of ligand-receptor binding

Combinatorial model of ligand-receptor binding The binding of ligands to receptors is the starting point for many import signal pathways within a cell

Mobolaji Williams 0 Jan 09, 2022
AutoDeeplab / auto-deeplab / AutoML for semantic segmentation, implemented in Pytorch

AutoML for Image Semantic Segmentation Currently this repo contains the only working open-source implementation of Auto-Deeplab which, by the way out-

AI Necromancer 299 Dec 17, 2022
Official Implementation of DDOD (Disentangle your Dense Object Detector), ACM MM2021

Disentangle Your Dense Object Detector This repo contains the supported code and configuration files to reproduce object detection results of Disentan

loveSnowBest 51 Jan 07, 2023
This is the official implementation for the paper "(Almost) Free Incentivized Exploration from Decentralized Learning Agents" in NeurIPS 2021.

Observe then Incentivize Experiments This is the code used for the paper "(Almost) Free Incentivized Exploration from Decentralized Learning Agents",

Cong Shen Research Group 0 Mar 08, 2022
mbrl-lib is a toolbox for facilitating development of Model-Based Reinforcement Learning algorithms.

mbrl-lib is a toolbox for facilitating development of Model-Based Reinforcement Learning algorithms. It provides easily interchangeable modeling and planning components, and a set of utility function

Facebook Research 724 Jan 04, 2023