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Victoria Oberascher
commited on
Commit
•
f3b0d73
1
Parent(s):
2662822
remove default values for height and fov
Browse files- README.md +7 -1
- horizon-metrics.py +5 -4
README.md
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@@ -33,6 +33,12 @@ To get started with horizon-metrics, make sure you have the necessary dependenci
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This is how you can quickly evaluate your horizon prediction models using SEA-AI/horizon-metrics:
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##### Use artifical data for testing
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```python
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@@ -78,7 +84,7 @@ prediction_points = [
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```python
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import evaluate
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module = evaluate.load("SEA-AI/horizon-metrics", roll_threshold=0.5, pitch_threshold=0.1
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module.add(predictions=prediction_points, references=ground_truth_points)
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module.compute()
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This is how you can quickly evaluate your horizon prediction models using SEA-AI/horizon-metrics:
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> [!IMPORTANT]
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> The vertical_fov_degrees and heigt parameters are required. The default value for roll_rehsold is 0.5 and for pitch_threshold it is 0.1.
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> [!IMPORTANT]
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> The horizon metric should be calculated per sequence. Make sure that the vertical_fov and height are consistent across the inputs and do not change.
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##### Use artifical data for testing
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```python
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```python
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import evaluate
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module = evaluate.load("SEA-AI/horizon-metrics", vertical_fov_degrees=25.6, height=512, roll_threshold=0.5, pitch_threshold=0.1)
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module.add(predictions=prediction_points, references=ground_truth_points)
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module.compute()
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horizon-metrics.py
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@@ -66,7 +66,7 @@ Examples:
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[[0.0, 0.523573113510805], [1.0, 0.47642688648919496]]]
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>>> module = evaluate.load("SEA-AI/horizon-metrics", roll_threshold=0.5, pitch_threshold=0.1
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>>> module.add(predictions=ground_truth_points, references=prediction_points)
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>>> module.compute()
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>>> {'average_slope_error': 0.014823194839790999,
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HorizonMetrics is a metric class that calculates horizon prediction metrics.
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Args:
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roll_threshold (float, optional): Threshold for roll angle. Defaults to 0.5.
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pitch_threshold (float, optional): Threshold for pitch angle. Defaults to 0.1.
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vertical_fov_degrees (float, optional): Vertical field of view in degrees. Defaults to 25.6.
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**kwargs: Additional keyword arguments.
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Attributes:
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"""
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def __init__(self,
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roll_threshold=0.5,
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pitch_threshold=0.1,
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vertical_fov_degrees=25.6,
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height=512,
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**kwargs):
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super().__init__(**kwargs)
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[[0.0, 0.523573113510805], [1.0, 0.47642688648919496]]]
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>>> module = evaluate.load("SEA-AI/horizon-metrics", vertical_fov_degrees=25.6, height=512, roll_threshold=0.5, pitch_threshold=0.1)
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>>> module.add(predictions=ground_truth_points, references=prediction_points)
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>>> module.compute()
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>>> {'average_slope_error': 0.014823194839790999,
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HorizonMetrics is a metric class that calculates horizon prediction metrics.
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Args:
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vertical_fov_degrees (float): Vertical field of view in degrees.
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height (int): Height of the image.
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roll_threshold (float, optional): Threshold for roll angle. Defaults to 0.5.
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pitch_threshold (float, optional): Threshold for pitch angle. Defaults to 0.1.
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**kwargs: Additional keyword arguments.
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Attributes:
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"""
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def __init__(self,
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vertical_fov_degrees,
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height,
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roll_threshold=0.5,
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pitch_threshold=0.1,
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**kwargs):
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super().__init__(**kwargs)
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