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update readme

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  1. README.md +0 -6
README.md CHANGED
@@ -88,12 +88,10 @@ Basic usage example. Add predictions and references via `module.add_batch(predic
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  [10, 16, 6, 10]
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  ]
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  ]
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-
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  >>> references = [
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  [[10, 15, 20, 20]],
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  [[30, 30, 5, 6]]
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  ]
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-
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  >>> module.add_batch(predictions=predictions, references=references, predictions_scores=[[0.5,0.3],[0.8, 0.1]])
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  >>> result = module.compute()
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  >>> print(result)
@@ -123,9 +121,7 @@ We can specify different area range levels, at which we would like to compute th
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  ("medium", [6 ** 2, 12 ** 2]),
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  ("large", [12 ** 2, 1e5 ** 2])
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  ]
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-
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  >>> module = evaluate.load("./detection_metric.py", area_ranges_tuples=area_ranges_tuples)
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-
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  >>> predictions = [
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  [
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  [10, 15, 5, 5],
@@ -134,12 +130,10 @@ We can specify different area range levels, at which we would like to compute th
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  [50, 50, 6, 10]
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  ],
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  ]
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-
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  >>> references = [
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  [],
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  [[10, 15, 5, 5]]
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  ]
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-
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  >>> module.add_batch(predictions=predictions, references=references)
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  >>> result = module.compute()
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  >>> print(result)
 
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  [10, 16, 6, 10]
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  ]
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  ]
 
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  >>> references = [
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  [[10, 15, 20, 20]],
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  [[30, 30, 5, 6]]
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  ]
 
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  >>> module.add_batch(predictions=predictions, references=references, predictions_scores=[[0.5,0.3],[0.8, 0.1]])
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  >>> result = module.compute()
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  >>> print(result)
 
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  ("medium", [6 ** 2, 12 ** 2]),
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  ("large", [12 ** 2, 1e5 ** 2])
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  ]
 
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  >>> module = evaluate.load("./detection_metric.py", area_ranges_tuples=area_ranges_tuples)
 
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  >>> predictions = [
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  [
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  [10, 15, 5, 5],
 
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  [50, 50, 6, 10]
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  ],
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  ]
 
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  >>> references = [
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  [],
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  [[10, 15, 5, 5]]
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  ]
 
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  >>> module.add_batch(predictions=predictions, references=references)
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  >>> result = module.compute()
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  >>> print(result)