asdf

README.md

@@ -19,23 +19,6 @@ title: Mot Metrics
 # How to Use
 
 ```python {"id":"01HPS3ASFHPCECERTYN7Z4Z7MN"}
->>> import numpy as np
->>> module = evaluate.load("SEA-AI/mot-metrics")
->>> predicted =[[1,1,10,20,30,40,0.85],[2,1,15,25,35,45,0.78],[2,2,55,65,75,85,0.95]]
->>> ground_truth = [[1, 1, 10, 20, 30, 40],[2, 1, 15, 25, 35, 45]]          
->>> results = module._compute(predictions=predicted, references=ground_truth, max_iou=0.5)
->>> results
-{'idf1': 0.8421052631578947, 'idp': 0.8888888888888888,
-'idr': 0.8, 'recall': 0.8, 'precision': 0.8888888888888888,
-'num_unique_objects': 3,'mostly_tracked': 2,
-'partially_tracked': 1, 'mostly_lost': 0,
-'num_false_positives': 1, 'num_misses': 2,
-'num_switches': 0, 'num_fragmentations': 0,
-'mota': 0.7, 'motp': 0.02981870229007634,
-'num_transfer': 0, 'num_ascend': 0,
-'num_migrate': 0}
-
-
 >>> import evaluate
 >>> from seametrics.fo_to_payload.utils import fo_to_payload
 >>> b = fo_to_payload(