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Adapt inference to multiple datasets #6

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Oct 27, 2021
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11 changes: 7 additions & 4 deletions mmdet/apis/inference.py
Original file line number Diff line number Diff line change
Expand Up @@ -108,14 +108,17 @@ def inference_detector(model, imgs):

cfg = model.cfg
device = next(model.parameters()).device # model device

if isinstance(cfg.data.test, list):
test_pipeline = cfg.data.test[0].pipeline
else:
test_pipeline = cfg.data.test.pipeline

if isinstance(imgs[0], np.ndarray):
cfg = cfg.copy()
# set loading pipeline type
cfg.data.test.pipeline[0].type = 'LoadImageFromWebcam'
test_pipeline[0].type = 'LoadImageFromWebcam'

cfg.data.test.pipeline = replace_ImageToTensor(cfg.data.test.pipeline)
test_pipeline = Compose(cfg.data.test.pipeline)
test_pipeline = pipelines.Compose(replace_ImageToTensor(test_pipeline))

datas = []
for img in imgs:
Expand Down