Traceback (most recent call last):


 "extraction/project_graph.py", line 123, in main

classification = classifier.classify(collection)


 "extraction/classifiers/type_classifier.py", line 26, in classify

HUMAN = wkp(c, "Human")


 "extraction/classifiers/type_classifier.py", line 14, in wkp

return c.article2id['enwiki/' + name][0][0]


 "src/marisa_trie.pyx", line 578, in marisa_trie.BytesTrie.__getitem__ (src/marisa_trie.cpp:10859)
KeyError: 'enwiki/Human'

Traceback (most recent call last):


 "tools/test_net.py", line 97, in <module>

main()


 "tools/test_net.py", line 91, in main

output_folder=output_folder,


 "/scratch_net/gnarf/tmarta/FCOS/fcos_core/engine/inference.py", line 119, in inference

**extra_args)


 "/scratch_net/gnarf/tmarta/FCOS/fcos_core/data/datasets/evaluation/__init__.py", line 26, in evaluate

return visual_genome_evaluation(**args)


 "/scratch_net/gnarf/tmarta/FCOS/fcos_core/data/datasets/evaluation/visual_genome/__init__.py", line 20, in visual_genome_evaluation

expected_results_sigma_tol=expected_results_sigma_tol,


 "/scratch_net/gnarf/tmarta/FCOS/fcos_core/data/datasets/evaluation/visual_genome/visual_genome_eval.py", line 53, in do_visual_genome_evaluation

dataset, visual_genome_results[iou_type], file_path, iou_type


 "/scratch_net/gnarf/tmarta/FCOS/fcos_core/data/datasets/evaluation/visual_genome/visual_genome_eval.py", line 226, in evaluate_predictions_on_visual_genome

visual_genome_eval.evaluate()


 "/scratch_net/gnarf/tmarta/FCOS/fcos_core/data/datasets/evaluation/visual_genome/vgeval.py", line 130, in evaluate

for imgId in p.imgIds


 "/scratch_net/gnarf/tmarta/FCOS/fcos_core/data/datasets/evaluation/visual_genome/vgeval.py", line 131, in <dictcomp>

for catId in catIds}


 "/scratch_net/gnarf/tmarta/FCOS/fcos_core/data/datasets/evaluation/visual_genome/vgeval.py", line 156, in computeIoU

inds = np.argsort([-d['score'] for d in dt], kind='mergesort')


 "/scratch_net/gnarf/tmarta/FCOS/fcos_core/data/datasets/evaluation/visual_genome/vgeval.py", line 156, in <listcomp>

inds = np.argsort([-d['score'] for d in dt], kind='mergesort')
KeyError: 'score'
