yinyunie / depth_renderer Goto Github PK

Hi, thanks for your helpful work. I would like to ask if there is a convenient way of outputing correspondence relationships between pixels on the rendered image and points on the corresponding 3D model. I notice that "visualization/draw_pc_from_depth.py" can generate partial point clouds from specific viewpoints. Is there any function to obtain such "pixel-point" mapping? Look forward to your reply as soon as possible!

Hi author! Thank you for this repo!
Using the code, I succesfully get the rendered png images with black backgrounds. What if I want to have transparent background?
I try the following code but it dosen't seem to work. Could you please help?
if g_background_image_path == 'TRANSPARENT':
if bpy.app.version < (2, 80, 0):
bpy.context.scene.render.alpha_mode = 'TRANSPARENT'
bpy.context.scene.render.image_settings.color_mode = 'RGBA' #
else:
bpy.context.scene.render.image_settings.color_mode = 'RGBA' # blender 2.8
bpy.context.scene.render.film_transparent = True # 0 for "SKY"; 1 for "TRANSPARENT

Hi,

thanks for open-sourcing this project. I have used it to render some of the shapenet models but have observed that the 3D point do not lie exactly on the surface once back-projected to 3D. The cloud2mesh distance lie in the range of 0.002.

Have you maybe observed the same? Do you know if this is an inherent precision of Blender depth rendering or if there is maybe some precision loss occurring at some point?

Zan

Hi, thanks for the great work, I'm wondering how to add lights from all directions.

Hi!

I might have noticed a typo in the render_all.py script.

You set the tile_x in line 78 and also in line 79 leaving tile_y out.

Would it be possible to add an option to render out surface normal images from Blender, in addition to the RGB and depth images?

`(renderer) root@VGG-V100-LZ-2:~/lkq/depth_renderer# python depth_fusion.py
Traceback (most recent call last):
File "depth_fusion.py", line 9, in
from external import pyfusion

File "/root/lkq/depth_renderer/external/pyfusion/init.py", line 8, in
from cyfusion import *
ModuleNotFoundError: No module named 'cyfusion'`
many thanks for your great work. I follow the install step, but can not run the code. can you give me some help?

Thanks a lot for the awesome work from the authors. But I am a bit confused with data preprocessing. I noticed that in the dataset attached each object has two folders which are respectively image and model. But in the original dataset, each object only has one file which is called XXX.obj. How could I change the XXX.obj to the form of the current dataset?