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bob-detection

https://github.com/hsouri/bob-detection

Science Score: 44.0%

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Repository

Basic Info
  • Host: GitHub
  • Owner: hsouri
  • License: apache-2.0
  • Language: Python
  • Default Branch: main
  • Size: 14.8 MB
Statistics
  • Stars: 10
  • Watchers: 1
  • Forks: 2
  • Open Issues: 1
  • Releases: 0
Created over 2 years ago · Last pushed over 2 years ago
Metadata Files
Readme Contributing License Code of conduct Citation

README.md

BoB-Detection

This repository is the official implementation of Object Detection and Instance Segmentation task in the Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks.

:pushpin: Our implementation and instructions are based on mmdetection

Installation

Step 1. Create a conda environment and activate it.

shell conda create --name openmmlab python=3.8 -y conda activate openmmlab

Step 2. Install PyTorch following official instructions, e.g.

On GPU platforms:

shell conda install pytorch==1.13.1 torchvision==0.14.1 torchaudio==0.13.1 pytorch-cuda=11.6 -c pytorch -c nvidia

Step 3. Install MMCV using MIM.

shell pip install -U openmim mim install mmcv-full==1.7.0

Step 4. Install BoB-Detection.

```shell git clone https://github.com/hsouri/bob-detection.git cd bob-detection pip install -v -e .

"-v" means verbose, or more output

"-e" means installing a project in editable mode,

thus any local modifications made to the code will take effect without reinstallation.

```

Step 5. Download COCO (LVIS) and unzip dataset (you can optionally delete downloaded zip files by passing '--delete').

COCO download:

shell python tools/misc/download_dataset.py --dataset-name coco2017 --unzip LVIS download:

shell python tools/misc/download_dataset.py --dataset-name lvis --save-dir data/lvis_v1/ --unzip cd data/lvis_v1/ mkdir annotations mv lvis_v1_train.json annotations/ mv lvis_v1_val.json annotations/

Please refer to Get Started, Dataset Prepare, and Dataset Download for more detailed instructions.

Usage

The config files for all experiments in Battle of the Backbones (BoB) can be found configs/bob.

To train a detector with the existing configs, run:

shell bash ./tools/dist_train.sh <CONFIG_FILE> <GPU_NUM>

Owner

  • Name: Hossein Souri
  • Login: hsouri
  • Kind: user
  • Company: Johns Hopkins University

PhD student at Johns Hopkins University

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
  - name: "MMDetection Contributors"
title: "OpenMMLab Detection Toolbox and Benchmark"
date-released: 2018-08-22
url: "https://github.com/open-mmlab/mmdetection"
license: Apache-2.0

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Dependencies

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