A state of art detector for densely packed scenes dataset SKU-110K.
For more information, please read our technical report.
This project is released under the Apache 2.0 license.
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To clone this project to your own device.
git clone https://github.com/Media-Smart/SKU110K-DenseDet.git
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Please refer to INSTALL.md for installation and dataset preparation.
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Click here to download the weights.
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.
python tools/test.py configs/SKU_fusion_bfp_x101_32x4d.py \
${YOUR_WEIGHT_PATH} \
--show
python tools/train.py configs/SKU_fusion_bfp_x101_32x4d.py
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.
This repository is currently maintained by Tianze Rong (@SteelBeamR), Hongxiang Cai (@hxcai), Yichao Xiong (@mileistone).
The whole project is based on mmcv v0.5.9 and mmdetection v1.0rc1 via open-mmlab.