open-mmlab/mmdetection · error · Exception
iouType not supported
Error message
iouType not supported
What it means
YTVISEvalParams.__init__ only accepts iouType 'segm', 'bbox', or 'keypoints' when selecting parameter presets; anything else raises 'iouType not supported'.
Source
Thrown at mmdet/evaluation/functional/ytviseval.py:620
self.catIds = []
# np.arange causes trouble. the data point on arange
# is slightly larger than the true value
self.iouThrs = np.linspace(
.5, 0.95, int(np.round((0.95 - .5) / .05)) + 1, endpoint=True)
self.recThrs = np.linspace(
.0, 1.00, int(np.round((1.00 - .0) / .01)) + 1, endpoint=True)
self.maxDets = [20]
self.areaRng = [[0**2, 1e5**2], [32**2, 96**2], [96**2, 1e5**2]]
self.areaRngLbl = ['all', 'medium', 'large']
self.useCats = 1
def __init__(self, iouType='segm'):
if iouType == 'segm' or iouType == 'bbox':
self.setDetParams()
elif iouType == 'keypoints':
self.setKpParams()
else:
raise Exception('iouType not supported')
self.iouType = iouType
# useSegm is deprecated
self.useSegm = None
View on GitHub (pinned to cfd5d3a985)
Solutions
- Use one of 'segm', 'bbox', 'keypoints'
- Note that 'keypoints' passes __init__ but later fails in computeIoU (error 72); prefer segm/bbox
Example fix
# before YTVISEval(gt, dt, iouType='poly') # after YTVISEval(gt, dt, iouType='segm')
Defensive patterns
Strategy: validation
Validate before calling
assert iouType in ('segm', 'bbox', 'keypoints') Type guard
def is_valid_iou_type(t) -> bool:
return isinstance(t, str) and t in ('segm', 'bbox', 'keypoints') Prevention
- Validate iouType against the supported set before constructing YTVISEval
- Prefer 'segm' for VIS tasks
When it happens
Trigger: Constructing YTVISEval with iouType='mask', 'poly', or a misspelled value.
Common situations: Typos and adapting other eval APIs; passing the task name ('vis') instead of the iou type.
Related errors
- unknown iouType for iou computation
- Unrecognized mode, only "area" and "11points" are supported
- Please run accumulate() first
- LoadImageFromFile is not found in the test pipeline
- Visualization needs the "visualizer" termdefined in the conf
AI-assisted analysis of open-mmlab/mmdetection@cfd5d3a985 (2026-08-27).
Data as JSON: /api/errors/67761d0acde2e491.
Report an issue: GitHub.