Off-line Prediction

Prediction

1. Activate the environment.

conda activate phenonet
cd PhenoNet

2. Run predict.py with specified parameters.

python predict.py -i {test_data_directory}

Please click here to download test data.

3. The following options are available for predict.py:

Usage: python predict.py -i infile -o outfile [options]...

  -h                   show this help
  -i test data path        input image directory, defaule=./data
  -m prediction mode       can be 1(single image) or 5 (time series), defaule=1
  -l lstm-weight-path  path to LSTM weight file
  -p phenovit-weight-path         path to Phenovit weight file

4. Inference result