Are you sure you want to delete this task? Once this task is deleted, it cannot be recovered.
tyx_neu b3d7e3d993 | 10 months ago | |
---|---|---|
common | 10 months ago | |
data | 10 months ago | |
evaluate | 10 months ago | |
nets | 10 months ago | |
test | 10 months ago | |
training | 10 months ago | |
weights | 10 months ago | |
.gitignore | 10 months ago | |
README.md | 10 months ago | |
requirements.txt | 10 months ago |
Full implementation of YOLOv3 in PyTorch.
[Paper]
[Original Implementation]
git clone https://github.com/BobLiu20/YOLOv3_PyTorch.git
cd YOLOv3_PyTorch
pip3 install -r requirements.txt --user
cd data/
bash get_coco_dataset.sh
darknet53_weights_pytorch.pth
to wegihts
folder in this project.training/params.py
YOUR_WORKING_DIR
to your working directory. Use for save model and tmp file.cd training
python training.py params.py
# please install tensorboard in first
python -m tensorboard.main --logdir=YOUR_WORKING_DIR
official_yolov3_weights_pytorch.pth
to wegihts
folder in this project.cd evaluate
python eval_coco.py params.py
Please download pretrained weights official_yolov3_weights_pytorch.pth
or use yourself checkpoint.
cd test
python test_images.py params.py
You can got result images in output folder.
Please download pretrained weights official_yolov3_weights_pytorch.pth
or use yourself checkpoint.
cd test
python test_fps.py params.py
Imp. | Backbone | Input Size | Batch Size | Inference Time | FPS |
---|---|---|---|---|---|
Paper | Darknet53 | 320 | 1 | 22ms | 45 |
Paper | Darknet53 | 416 | 1 | 29ms | 34 |
Paper | Darknet53 | 608 | 1 | 51ms | 19 |
Our | Darknet53 | 416 | 1 | 28ms | 36 |
Our | Darknet53 | 416 | 8 | 17ms | 58 |
@article{yolov3,
title={YOLOv3: An Incremental Improvement},
author={Redmon, Joseph and Farhadi, Ali},
journal = {arXiv},
year={2018}
}
Dear OpenI User
Thank you for your continuous support to the Openl Qizhi Community AI Collaboration Platform. In order to protect your usage rights and ensure network security, we updated the Openl Qizhi Community AI Collaboration Platform Usage Agreement in January 2024. The updated agreement specifies that users are prohibited from using intranet penetration tools. After you click "Agree and continue", you can continue to use our services. Thank you for your cooperation and understanding.
For more agreement content, please refer to the《Openl Qizhi Community AI Collaboration Platform Usage Agreement》