Dennis Richardson 4SkyNet

## NIPS2016.md

      
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                artsobolev
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    Note: I'm updating this gist as I encounter new reviews, so make sure you're reading the latest revision!
Just as the previous year I collected (and keep doing so) links to various summaries and takeaways from this year's NIPS.

NIPS 2016 Symposium on People and machines: Public views on machine learning, and what this means for machine learning researchers. (Notes and panel discussion) by /u/gcr
NIPS 2016 summary, wrap up, and links to slides by /u/beamsearch
Post NIPS Reflections by Neil Lawrence
[Some general take aways from #NIPS2016](https://medium.com/@IgorCarron/some-general-take-aways-from-ni


## rgb2lab.py
from PIL import Image, ImageCms

im = Image.open(image_path)
if im.mode != "RGB":
  im = im.convert("RGB")

srgb_profile = ImageCms.createProfile("sRGB")
lab_profile  = ImageCms.createProfile("LAB")

rgb2lab_transform = ImageCms.buildTransformFromOpenProfiles(srgb_profile, lab_profile, "RGB", "LAB")
	from PIL import Image, ImageCms

	im = Image.open(image_path)
	if im.mode != "RGB":
	im = im.convert("RGB")

	srgb_profile = ImageCms.createProfile("sRGB")
	lab_profile = ImageCms.createProfile("LAB")

	rgb2lab_transform = ImageCms.buildTransformFromOpenProfiles(srgb_profile, lab_profile, "RGB", "LAB")