__author__ = 'oliver' import create_dataset import get_predictions import eval_tools.metrics dataset = 'sdyoutube' # dataset = 'youtube2text' algName = '10frames' total_num_samples = 1000 samples_per_video=10 out_dir = 'data/sdyoutube/results' create_dataset.sdyoutube(total_num_samples,samples_per_video,dataset,extract_features=True) get_predictions.run('results_metrics/model_lstm_checkpoint_sdyoutube_oliver-Aurora-R4_baseline_483.67.p',dataset,algName,num_sent=1) # get_predictions.run('cv/model_checkpoint_youtube2text_oliver-Aurora-R4_baseline_10.49.p',dataset,algName) # get_predictions.run('cv/model_checkpoint_youtube2text_oliver-Aurora-R4_baseline_37.54.p',dataset,algName) eval_tools.metrics.run(dataset,algName,out_dir) # get_predictions.run('results_metrics/model_icoupled_checkpoint_sdyoutube_oliver-Aurora-R4_baseline_1.01.p',dataset,algName,num_sent=1) # eval_tools.metrics.run(dataset,algName,out_dir)
__author__ = 'oliver' import create_dataset import get_predictions import eval_tools.metrics dataset = 'youtube2text' algName = '10frames' total_num_samples = 2000 samples_per_video=10 # create_dataset.youtube2text(total_num_samples,samples_per_video,dataset) get_predictions.run('cv/model_checkpoint_youtube2text_oliver-Aurora-R4_baseline_15.26.p',dataset,algName) # get_predictions.run('cv/model_checkpoint_youtube2text_oliver-Aurora-R4_baseline_10.49.p',dataset,algName) # get_predictions.run('cv/model_checkpoint_youtube2text_oliver-Aurora-R4_baseline_37.54.p',dataset,algName) eval_tools.metrics.run(dataset,algName)