Closed wrgr closed 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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the glass is all full: half water, half air. neurodata.io, jovo calendar https://calendar.google.com/calendar/embed?src=joshuav%40gmail.com&ctz=America/New_York
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.
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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the glass is all full: half water, half air. neurodata.io, jovo calendar https://calendar.google.com/calendar/embed?src=joshuav%40gmail.com&ctz=America/New_York
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.
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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the glass is all full: half water, half air. neurodata.io, jovo calendar https://calendar.google.com/calendar/embed?src=joshuav%40gmail.com&ctz=America/New_York
just want to be explicit:
yah?
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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the glass is all full: half water, half air. neurodata.io, jovo calendar https://calendar.google.com/calendar/embed?src=joshuav%40gmail.com&ctz=America/New_York
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)