Effective trash detection model for AI Grand Challenge 2020 track 3 round 1.
Nuvilabs Solution.
The classes to be detected are:
- combustion
- paper
- steel
- glass
- plastic
- plasticbag
- styrofoam
- food
Download the pretrained model
wget --load-cookies /tmp/cookies.txt "https://docs.google.com/uc?export=download&confirm=$(wget --quiet --save-cookies /tmp/cookies.txt --keep-session-cookies --no-check-certificate 'https://docs.google.com/uc?export=download&id=1LnCw4L8RnM3qM96czxTTsOHn3xAKEpya' -O- | sed -rn 's/.*confirm=([0-9A-Za-z_]+).*/\1\n/p')&id=1LnCw4L8RnM3qM96czxTTsOHn3xAKEpya" -O ./model/model_checkpoint.pth && rm -rf /tmp/cookies.txt
Run inference
python main.py --img_path ./sample_img.jpg
Will return a dictionary with the following format:
{'Annotations': [{'Label': 'steel', 'Bbox': [564, 383, 695, 443], 'Confidence': 0.9856872}]}
The bbox format follows: [xmin, ymin, xmax, ymax]