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https://github.com/Angzz/fpn-gluon-cv
Feature Pyramid Network for Object Detection
https://github.com/Angzz/fpn-gluon-cv
gluon-cv mxnet object-detection
Last synced: 2 months ago
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Feature Pyramid Network for Object Detection
- Host: GitHub
- URL: https://github.com/Angzz/fpn-gluon-cv
- Owner: Angzz
- License: apache-2.0
- Created: 2019-01-16T10:08:32.000Z (almost 6 years ago)
- Default Branch: master
- Last Pushed: 2022-11-16T10:05:38.000Z (about 2 years ago)
- Last Synced: 2024-08-01T22:40:09.393Z (5 months ago)
- Topics: gluon-cv, mxnet, object-detection
- Language: Python
- Homepage:
- Size: 3.04 MB
- Stars: 9
- Watchers: 3
- Forks: 3
- Open Issues: 1
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Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- Awesome-MXNet - FPN-gluon-cv
README
# Feature Pyramid Network for Object Detection
Paper Link : https://arxiv.org/pdf/1612.03144.pdf### Note : Our code has been merged into official [gluon-cv](https://github.com/dmlc/gluon-cv), we recommend the official version, details can be found: https://github.com/dmlc/gluon-cv/pull/494
This repo is an unofficial implementation of FPN in a [gluon-cv](https://github.com/dmlc/gluon-cv) style, we will follow up with the official code and please refer to the official tutorials for more information.
# Usage
1.Install the mxnet
* pip install mxnet-cu92 --pre --upgrade2.Clone this code and run the script
*# Results
### VOC07
* **e2e_fastercnn_fpn_resnet50_v1b_1x_voc0712** : mAP=0.8035 on VOC07 Test.
* train-log : https://drive.google.com/open?id=1obMRJedBHXrNPZLsahiR6WMQyYJFnli0
* models : https://pan.baidu.com/s/1JrQYMLCPXuWGViSokS1LLg
* **e2e_fastercnn_fpn_resnet101_v1d_1x_voc0712** : mAP=0.8301 on VOC07 Test.
* train-log : https://drive.google.com/open?id=1Z7FeZ7fEuhYi1d4ExBlaLcJLl8RBSfFG
### VOC12
* **e2e_fastercnn_fpn_resnet50_v1d_1x_voc07++12** : Stay tuned!
* train-log : https://drive.google.com/open?id=18NFrME-TM_8cvYTkKwtrqvcPCmZ5L-MG
### COCO17
* **e2e_fastercnn_fpn_resnet50_v1d_2x_coco17** : Stay tuned!# Acknowledgements
Below repos give me a lot of inspiration
* https://github.com/msracver/Deformable-ConvNets
* https://github.com/guoruoqian/FPN_Pytorch
* https://github.com/facebookresearch/Detectron