YOLOF

Tensorflow implement YOLOF(You Only Look One Level Feaature)

Supports and Results

GIOU.
Smooth L1 loss.
Tensorflow pretrained resnetmodel zoo
Tensorboard visualize detection results When training.
Best Result in Pascal VOC(0.66, train and test in VOC07).I guess in COCO will get a better performance?
I have to say this result is not so good as RetinaNet and FCOS, but the author did not provide their result in VOC, So I have no reference to make this code perform better. If anyone has a better result,I'll appreciate it if you share your experience.

GIOU did not converge! So I chose Smooth L1 loss and this code support this two methods to regress boxes. If you find some Error about GIOU in my code or you can find a way make it converge, Welcome to contact me!
Larger resolution may reach a better results, but it decrese the inference speed largely.

If you want to train your own dataset, You can refer FCOS because they have similar code structure or you can contact me.

Name		Name	Last commit message	Last commit date
Latest commit History 25 Commits
data		data
model		model
pb		pb
README.md		README.md
coco_download.sh		coco_download.sh
config.py		config.py
demo.py		demo.py
eval.py		eval.py
evalue.py		evalue.py
export_pb.py		export_pb.py
inference.py		inference.py
ji.py		ji.py
train.py		train.py