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low-light-enhancement

https://github.com/karthikps84/low-light-enhancement

Science Score: 44.0%

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    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
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    DOI references
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    Academic publication links
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    JOSS paper metadata
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    Scientific vocabulary similarity
    Low similarity (8.2%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: Karthikps84
  • License: apache-2.0
  • Language: Python
  • Default Branch: main
  • Size: 12.5 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created about 1 year ago · Last pushed about 1 year ago
Metadata Files
Readme License Citation

README.md

Towards Light-Agnostic Real-Time Visual Perception

This repository provides a information about installation and running the configs to train and reproduce the results.

Table of Contents

  • Installation
  • Configuration Changes Before Training
  • Datasets
  • Train Model
  • Results ## Installation sh install.sh ## Configuration Changes Before Training Before starting the training process, please make the following changes to the configuration: ### Step 1: Set the Data Path Set the data path to your data directory ### Step 2: Change the Work Directory Change the work directory

Datasets

Datasets can be donwloaded from the following paths:

|Dataset | Link | |:-------:|:----------:| | Exdark | Link | | COCO | Link| | LIS | Link | | Darkface | Link | | Widerface |Link |

Train Model

After setting the datapath, train the model with the below command. python tools/train.py <CONFIG_FILE>

Evaluate Performance

Run the Test Script: Use the tools/test.py script to evaluate the model. For single-GPU testing, execute: ``` python tools/test.py

```

Results:

Object Detection

| Settings | Model |Dataset | Backbone| mAP50 | Config | Checkpoint | |:---------------:|:---------------:|:---------------:|:-----:|:-----:|:------:|:-----------------------:| |Low-light| YOLOV3 | Exdark | Darknet | 80.1 | config | Model | |Light-Agnostic| YOLOV3 | Exdark-COCO | Darknet | 64 | config | Model |

Face Detection

| Settings | Model |Dataset | Backbone| mAP50 | Config | Checkpoint | |:---------------:|:---------------:|:---------------:|:-----:|:-----:|:------:|:-----------------------:| |Low-light| RetinaNet | Darkface | ResNet-50 | 53.7 | config | Model | |Low-light| RetinaNet | Darkface_widerface | ResNet-50 | 59 | config | Model |

Instance Segmentation

| Settings | Model |Dataset | Backbone| mAP | SegAP | Config | Checkpoint | |:---------------:|:---------------:|:---------------:|:-----:|:-----:|:-----:|:------:|:-----------------------:| |Low-light| RTMDet-tiny | LIS | CSPNext | 61.1 | 53.6 | config | Model | |Low-light| RTMDet-tiny | LIS-COCO | CSPNext | 45.2 | 36.6 | config | Model |

Owner

  • Name: Karthik
  • Login: Karthikps84
  • Kind: user

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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  • Public event: 1
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Dependencies

docker/Dockerfile docker
  • pytorch/pytorch ${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel build
docker/serve/Dockerfile docker
  • pytorch/pytorch ${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel build
docker/serve_cn/Dockerfile docker
  • pytorch/pytorch ${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel build
requirements/albu.txt pypi
  • albumentations >=0.3.2
requirements/build.txt pypi
  • cython *
  • numpy *
requirements/docs.txt pypi
  • docutils ==0.16.0
  • myst-parser *
  • sphinx ==4.0.2
  • sphinx-copybutton *
  • sphinx_markdown_tables *
  • sphinx_rtd_theme ==0.5.2
requirements/mminstall.txt pypi
  • mmcv >=2.0.0rc4,<2.1.0
  • mmengine >=0.4.0,<1.0.0
requirements/optional.txt pypi
  • cityscapesscripts *
  • imagecorruptions *
  • scikit-learn *
requirements/readthedocs.txt pypi
  • mmcv >=2.0.0rc1,<2.1.0
  • mmengine >=0.1.0,<1.0.0
  • scipy *
  • torch *
  • torchvision *
requirements/runtime.txt pypi
  • matplotlib *
  • numpy *
  • pycocotools *
  • scipy *
  • six *
  • terminaltables *
requirements/tests.txt pypi
  • asynctest * test
  • cityscapesscripts * test
  • codecov * test
  • flake8 * test
  • imagecorruptions * test
  • instaboostfast * test
  • interrogate * test
  • isort ==4.3.21 test
  • kwarray * test
  • memory_profiler * test
  • onnx ==1.7.0 test
  • onnxruntime >=1.8.0 test
  • parameterized * test
  • protobuf <=3.20.1 test
  • psutil * test
  • pytest * test
  • ubelt * test
  • xdoctest >=0.10.0 test
  • yapf * test
requirements.txt pypi
setup.py pypi