[BUG]: normals are all 0.5

[tensorflowi]

Describe the bug
The normals are all 0.5.

General Information

1. Which BlenderProc version are you using?
   2.3.0

2. On which operating system are you?
   ubuntu 22

3. Have you checked the issue tracker to see if a similar issue has been opened?
   yes

4. Have you changed BlenderProc in any way besides the config file? If yes, are you sure that this change does not affect the problem you are having?
   yes

To Reproduce
Steps to reproduce the behavior:

bproc.init()

obj = bproc.loader.load_blend("test.blend", obj_types="mesh")

bproc.renderer.enable_depth_output(activate_antialiasing=False,convert_to_distance=False)
bproc.renderer.set_max_amount_of_samples(100)
bproc.renderer.set_light_bounces(transmission_bounces=200, transparent_max_bounces=200, max_bounces=200, glossy_bounces=200, volume_bounces=5, diffuse_bounces=200)
bproc.renderer.set_output_format(enable_transparency=False)
bproc.renderer.enable_normals_output()
bproc.renderer.set_denoiser(None)

data = bproc.renderer.render()
data.update(bproc.renderer.render_segmap(map_by=["class"]))

filename_rgb = filename_base + "color.jpg"
cv2.imwrite(filename_rgb, data["normals"][0])

filename_normals = filename_base + "normals.jpg"
cv2.imwrite(filename_normals, data["normals"][0])

print(normals.min()) # is 0.5
print(normals.max()) # is 0.5

3. Provide a link to all 3D models you used, if they are from one of the publicly available supported datasets, provide the name or path so that it is possible to reproduce the error.
   https://easyupload.io/dovng0

Screenshots
color:

depth:

normals:

Additional context
Any idea why my normals are all 0.5?

[cornerfarmer]

Hey @tensorflowi,

your given minimal example is not working, however I suspect that your problem is caused by the fact that you are calling bproc.renderer.enable_normals_output() before adding the camera poses.
The bproc.renderer.enable_normals_output() needs the camera poses, as every normal image should be in camera coords.
Maybe we should add a warning when it is called before creating the camera poses.

Let me know if that solves your issue.