Great notebooks! While looking at the "cornell_box_pt_numpy.ipynb" one I noticed a few things odd: - The input colours to the walls are scaled by somehow arbit

Great notebooks! While looking at the "cornell_box_pt_numpy.ipynb" one I noticed a few things odd: - The input colours to the walls are scaled by somehow arbitrary values and they don't seem to match the spectral reflectance distributions converted to, for example, sRGB: White ----- Jupyter Notebook : [255, 239, 196] / 255 sRGB (Scene-Referred Linear) : [ 0.73825082 0.73601591 0.73883266] sRGB (Output-Referred) : [ 0.87468844 0.87351472 0.87499367] Green ----- Jupyter Notebook : [.117, .4125, .115] * 1.5 sRGB (Scene-Referred Linear) : [ 0.06816358 0.39867395 0.08645648] sRGB (Output-Referred) : [ 0.28953442 0.66418933 0.32540958] Red --- Jupyter Notebook : [.611, .0555, .062] * 1.5 sRGB (Scene-Referred Linear) : [ 0.49389675 0.04880702 0.05120209] sRGB (Output-Referred) : [ 0.73132279 0.24476901 0.2508128 ] The correct values, assuming a sRGB working space, would be the middle rows, i.e. sRGB (Scene-Referred Linear). - The final image does not seem to be encoded for Output/Display, i.e. there is no gamma correction thus it is not displayed correctly.