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Render image volumes for bias investigation #79

Closed wrgr closed 8 years ago

wrgr commented 8 years ago

Render N volumes with low density and N with high density for human assessment to check for bias.
Will human label (without detections, but with masks) as high or low density in future weeks across ~200 volumes)

jovo commented 8 years ago

:ok_hand:

On Wed, Jul 27, 2016 at 9:34 AM, William Gray Roncal < notifications@github.com> wrote:

Render N volumes with low density and N with high density for human assessment to check for bias.

Will human label (without detections, but with masks) as high or low density in future weeks across ~200 volumes)

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wrgr commented 8 years ago

Almost there on this - turned out to be hard.

I have gifs rendering for arbitrary clips and numpy arrays - but having trouble with rendering with overlays. Think I've found a good way around this and a backup plan just in case.

Estimated completion: Friday 8/5.

jovo commented 8 years ago

ok

On Thu, Aug 4, 2016 at 6:10 AM, William Gray Roncal < notifications@github.com> wrote:

Almost there on this - turned out to be hard.

I have gifs rendering for arbitrary clips and numpy arrays - but having trouble with rendering with overlays. Think I've found a good way around this and a backup plan just in case.

Estimated completion: Friday 8/5.

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wrgr commented 8 years ago

can now make these volumes, so closing this issue. we need to talk through exactly how many and how to blind. i will proceed with my best idea if we don't get a chance to chat.

jovo commented 8 years ago

i thought we said 100 of each? though open to other suggestions.

On Sun, Aug 7, 2016 at 9:40 PM, William Gray Roncal < notifications@github.com> wrote:

Closed #79 https://github.com/neurodata/ndpaper/issues/79.

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wrgr commented 8 years ago

just want to be explicit:

yah?

jovo commented 8 years ago

good start. WWW: who, what, by when. we got who & what. by when though?

On Sun, Aug 7, 2016 at 11:09 PM, William Gray Roncal < notifications@github.com> wrote:

just want to be explicit:

  • 100 volumes of each mean +/- 1 stddev
  • do in a way that presentation is blind to will, which might mean someone else generates labels or will figures out how to do where he can't see values (ever).
  • will creates a 200x1 vector of high/low values (binary)
  • joshua or someone evaluates and sees how good will is at this
  • we decide how to proceed

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