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
The goal of the exercises below is to evaluate the candidate knowledge and problem solving expertise regarding the main development focuses for the iFood ML Platform team: MLOps and Feature Store development.

The goal of the exercises below is to evaluate the candidate knowledge and problem solving expertise regarding the main development focuses for the iFood ML Platform team: MLOps and Feature Store dev

George Rocha 0 Feb 03, 2022
RTS3D: Real-time Stereo 3D Detection from 4D Feature-Consistency Embedding Space for Autonomous Driving

RTS3D: Real-time Stereo 3D Detection from 4D Feature-Consistency Embedding Space for Autonomous Driving (AAAI2021). RTS3D is efficiency and accuracy s

71 Nov 29, 2022
本步态识别系统主要基于GaitSet模型进行实现

本步态识别系统主要基于GaitSet模型进行实现。在尝试部署本系统之前,建立理解GaitSet模型的网络结构、训练和推理方法。 系统的实现效果如视频所示: 演示视频 由于模型较大,部分模型文件存储在百度云盘。 链接提取码:33mb 具体部署过程 1.下载代码 2.安装requirements.txt

16 Oct 22, 2022
CLIP2Video: Mastering Video-Text Retrieval via Image CLIP

CLIP2Video: Mastering Video-Text Retrieval via Image CLIP The implementation of paper CLIP2Video: Mastering Video-Text Retrieval via Image CLIP. CLIP2

168 Dec 29, 2022
Official repository for the paper "Self-Supervised Models are Continual Learners" (CVPR 2022)

Self-Supervised Models are Continual Learners This is the official repository for the paper: Self-Supervised Models are Continual Learners Enrico Fini

Enrico Fini 73 Dec 18, 2022
Python script that allows you to automatically setup your Growtopia server.

AutoSetup Python script that allows you to automatically setup your Growtopia server. How To Use Firstly, install all the required modules that used i

Aspire 3 Mar 06, 2022
This tutorial repository is to introduce the functionality of KGTK to first-time users

Welcome to the KGTK notebook tutorial The goal of this tutorial repository is to introduce the functionality of KGTK to first-time users. The Knowledg

USC ISI I2 58 Dec 21, 2022
Collection of generative models in Pytorch version.

pytorch-generative-model-collections Original : [Tensorflow version] Pytorch implementation of various GANs. This repository was re-implemented with r

Hyeonwoo Kang 2.4k Dec 31, 2022
Controlling the MicriSpotAI robot from scratch

Project-MicroSpot-AI Controlling the MicriSpotAI robot from scratch Colaborators Alexander Dennis Components from MicroSpot The MicriSpotAI has the fo

Dennis Núñez-Fernández 5 Oct 20, 2022
High-Resolution 3D Human Digitization from A Single Image.

PIFuHD: Multi-Level Pixel-Aligned Implicit Function for High-Resolution 3D Human Digitization (CVPR 2020) News: [2020/06/15] Demo with Google Colab (i

Meta Research 8.4k Dec 29, 2022
Codes accompanying the paper "Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning" (NeurIPS 2021 Spotlight

Implicit Constraint Q-Learning This is a pytorch implementation of ICQ on Datasets for Deep Data-Driven Reinforcement Learning (D4RL) and ICQ-MA on SM

42 Dec 23, 2022
Using Python to Play Cyberpunk 2077

CyberPython 2077 Using Python to Play Cyberpunk 2077 This repo will contain code from the Cyberpython 2077 video series on Youtube (youtube.

Harrison 118 Oct 18, 2022
Measuring if attention is explanation with ROAR

NLP ROAR Interpretability Official code for: Evaluating the Faithfulness of Importance Measures in NLP by Recursively Masking Allegedly Important Toke

Andreas Madsen 19 Nov 13, 2022
Self Governing Neural Networks (SGNN): the Projection Layer

Self Governing Neural Networks (SGNN): the Projection Layer A SGNN's word projections preprocessing pipeline in scikit-learn In this notebook, we'll u

Guillaume Chevalier 22 Nov 06, 2022
pix2pix in tensorflow.js

pix2pix in tensorflow.js This repo is moved to https://github.com/yining1023/pix2pix_tensorflowjs_lite See a live demo here: https://yining1023.github

Yining Shi 47 Oct 04, 2022
Jupyter notebooks for using & learning Keras

deep-learning-with-keras-notebooks 這個github的repository主要是個人在學習Keras的一些記錄及練習。希望在學習過程中發現到一些好的資訊與範例也可以對想要學習使用 Keras來解決問題的同好,或是對深度學習有興趣的在學學生可以有一些方便理解與上手範例

ErhWen Kuo 2.1k Dec 27, 2022
Multimodal Descriptions of Social Concepts: Automatic Modeling and Detection of (Highly Abstract) Social Concepts evoked by Art Images

MUSCO - Multimodal Descriptions of Social Concepts Automatic Modeling of (Highly Abstract) Social Concepts evoked by Art Images This project aims to i

0 Aug 22, 2021
Roadmap to becoming a machine learning engineer in 2020

Roadmap to becoming a machine learning engineer in 2020, inspired by web-developer-roadmap.

Chris Hoyean Song 1.7k Dec 29, 2022
Yolov3 pytorch implementation

YOLOV3 Pytorch实现 在bubbliiing大佬代码的基础上进行了修改,添加了部分注释。 预训练模型 预训练模型来源于bubbliiing。 链接:https://pan.baidu.com/s/1ncREw6Na9ycZptdxiVMApw 提取码:appk 训练自己的数据集 按照VO

4 Aug 27, 2022
An implementation for the loss function proposed in Decoupled Contrastive Loss paper.

Decoupled-Contrastive-Learning This repository is an implementation for the loss function proposed in Decoupled Contrastive Loss paper. Requirements P

Ramin Nakhli 71 Dec 04, 2022