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README.md
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@@ -20,8 +20,7 @@ The MOT metrics takes two numeric arrays as input corresponding to the predictio
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>>> import numpy as np
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>>> module = evaluate.load("SEA-AI/mot-metrics")
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>>> 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]]
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>>> ground_truth = [[1, 1, 10, 20, 30, 40],[2, 1, 15, 25, 35, 45]]
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>>> results = module._compute(predictions=predicted, references=ground_truth, max_iou=0.5)
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>>> results
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{'idf1': 0.8421052631578947, 'idp': 0.8888888888888888,
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@@ -76,7 +75,9 @@ The output is a dictionary containing the following metrics:
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title = {A great new module},
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authors={huggingface, Inc.},
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year={2020}}
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@article{milan2016mot16,
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title={MOT16: A benchmark for multi-object tracking},
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author={Milan, Anton and Leal-Taix{\'e}, Laura and Reid, Ian and Roth, Stefan and Schindler, Konrad},
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>>> import numpy as np
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>>> module = evaluate.load("SEA-AI/mot-metrics")
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>>> 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]]
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>>> ground_truth = [[1, 1, 10, 20, 30, 40],[2, 1, 15, 25, 35, 45]]
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>>> results = module._compute(predictions=predicted, references=ground_truth, max_iou=0.5)
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>>> results
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{'idf1': 0.8421052631578947, 'idp': 0.8888888888888888,
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title = {A great new module},
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authors={huggingface, Inc.},
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year={2020}}
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```
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```bibtex
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@article{milan2016mot16,
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title={MOT16: A benchmark for multi-object tracking},
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author={Milan, Anton and Leal-Taix{\'e}, Laura and Reid, Ian and Roth, Stefan and Schindler, Konrad},
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