how to render

[Calsia]

hi， your work is so beautiful!and thks for your code. i want to know what should i do to use the result in blender? thks for any reply

[Calsia]

The lighting estimaiton performance is evaluated by using the predicted illumination map as the environment light in Blender. i see this in readme.md，but i can't understand

[Calsia]

by the way, i try to test it use my own jpg .something wrong happened. self.fc = nn.Linear(8208, 1024) doesn't match. is there any limit for input shape?

[fnzhan]

The lighting estimaiton performance is evaluated by using the predicted illumination map as the environment light in Blender. i see this in readme.md，but i can't understand

Hi, you should replace the environment map in blender with the predicted illumination map .

[fnzhan]

Of course, the default size should be 256 * 192.

[Calsia]

thanks a lot. one more question( i wish). in RegressionNetwork/test.py, u set ln is 42. but the model ouput the distribution_pred with size 96. how could i fix them

[fnzhan]

You may just change ln to 96.

[Calsia]

Of course, i have tried. but the dirs will not match, which is used to generate a .exr in your code.

[Calsia]

[fnzhan]

I have updated the code, should replace util.polyhedron(1) with util.sphere_points(ln) https://github.com/fnzhan/Illumination-Estimation/blob/b0b7832a842c7450539c0b338a4f194e06a3a1dc/RegressionNetwork/test.py#L59

[Calsia]

that's totally what i do. finally, i want use the .exr(i think is the illumination map mentioned above) as light to render my own scene. but how could i align it with my scene model?

[Calsia]

by the way，these are my input and result .it seems not very good. do u have any suggestions to improve it?

[fnzhan]

The model is trained on Laval Indoor datasets, which only contains 2000 panoramas. Thus, it is hard to generalized to other scenes.

[Calsia]

thks a lot for your reply