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A state of art detector for densely packed scenes dataset SKU-110K

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Media-Smart/SKU110K-DenseDet

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Introduction

A state of art detector for densely packed scenes dataset SKU-110K.

For more information, please read our technical report.

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License

This project is released under the Apache 2.0 license.

Installation

  1. To clone this project to your own device.

    git clone https://github.com/Media-Smart/SKU110K-DenseDet.git
    
  2. Please refer to INSTALL.md for installation and dataset preparation.

  3. Click here to download the weights.

Get Started

Please go to GETTING_STARTED.md for the basic usage of MMDetection.

Before you are about to run or train, please edit the path in configuration.

Test

python tools/test.py configs/SKU_fusion_bfp_x101_32x4d.py \
    ${YOUR_WEIGHT_PATH} \
    --show

Train

python tools/train.py configs/SKU_fusion_bfp_x101_32x4d.py

Performance

The performance applied on SKU-110k of our best solution.

mAP AP@50 AP@75
Val Set 58.0% 92.0% 66.5%
Test Set 1 58.7% 92.9% 67.3%

For more detail, please browse the configuration.

Contact

This repository is currently maintained by Tianze Rong (@SteelBeamR), Hongxiang Cai (@hxcai), Yichao Xiong (@mileistone).

Credits

The whole project is based on mmcv v0.5.9 and mmdetection v1.0rc1 via open-mmlab.

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A state of art detector for densely packed scenes dataset SKU-110K

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