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@tilt tilt commented Jan 24, 2018

Allows for deriving predictions of multiple images at a time in "test"-mode.

This can be tested in the demo-notebook when stacking multiple input tensors, e.g. replacing xx = Variable(x.unsqueeze(0)) by xx = Variable(torch.stack(input_tensors)) where input_tensors is a list of preprocessed images.

tilt added 2 commits January 24, 2018 10:43
Suppress all but the top_k most confident predictions. Formerly only the least confident `top_k` were filtered out in the final "detect" step.
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tilt commented Jan 27, 2018

Part of this is redundant to an earlier PR I just noticed.

@tilt tilt closed this Jan 28, 2018
@tilt tilt reopened this Jan 28, 2018
@amdegroot amdegroot merged commit 4701d83 into amdegroot:master Feb 15, 2018
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Thanks for doing this. Sorry it took so long to get around to reviewing it.

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2 participants