yolact-mini's Introduction

You Only Look At CoefficienTs

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A simple, fully convolutional model for real-time instance segmentation. This is the code for our papers:

YOLACT: Real-time Instance Segmentation

Evaluation

Here is the yolact model weight being used

yolact_base_54_800000.pth

yolact_base_54_800000.pth (Mirror)

To evalute the model, put the corresponding weights file in the ./weights directory and run one of the following commands. The name of each config is everything before the numbers in the file name (e.g., yolact_base for yolact_base_54_800000.pth).

Images

# Display qualitative results on the specified image.
python eval.py my_image.png

Citation

If you use YOLACT or this code base in your work, please cite

@inproceedings{yolact-iccv2019,
  author    = {Daniel Bolya and Chong Zhou and Fanyi Xiao and Yong Jae Lee},
  title     = {YOLACT: {Real-time} Instance Segmentation},
  booktitle = {ICCV},
  year      = {2019},
}