Yufei ccac9cf800 | 2 years ago | |
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README.md | 2 years ago | |
metafile.yml | 2 years ago | |
ssd300_coco.py | 2 years ago | |
ssd512_coco.py | 2 years ago | |
ssdlite_mobilenetv2_scratch_600e_coco.py | 2 years ago |
@article{Liu_2016,
title={SSD: Single Shot MultiBox Detector},
journal={ECCV},
author={Liu, Wei and Anguelov, Dragomir and Erhan, Dumitru and Szegedy, Christian and Reed, Scott and Fu, Cheng-Yang and Berg, Alexander C.},
year={2016},
}
Backbone | Size | Style | Lr schd | Mem (GB) | Inf time (fps) | box AP | Config | Download |
---|---|---|---|---|---|---|---|---|
VGG16 | 300 | caffe | 120e | 9.9 | 43.7 | 25.5 | config | model | log |
VGG16 | 512 | caffe | 120e | 19.4 | 30.7 | 29.5 | config | model | log |
Backbone | Size | Training from scratch | Lr schd | Mem (GB) | Inf time (fps) | box AP | Config | Download |
---|---|---|---|---|---|---|---|---|
MobileNetV2 | 320 | yes | 600e | 4.0 | 69.9 | 21.3 | config | model | log |
In v2.14.0, PR5291 refactored SSD neck and head for more
flexible usage. If users want to use the SSD checkpoint trained in the older versions, we provide a scripts
tools/model_converters/upgrade_ssd_version.py
to convert the model weights.
python tools/model_converters/upgrade_ssd_version.py ${OLD_MODEL_PATH} ${NEW_MODEL_PATH}
There are some differences between our implementation of MobileNetV2 SSD-Lite and the one in TensorFlow 1.x detection model zoo .
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