Black Image when rendering color

[abrar-khan-368]

While rendering the objects, i am getting the black image for RGB images, is there anything wrong am i doing? Followed the instructions mentioned on the readme file.

[Mrguanglei]

First of all, the dataset I used is glb, is your dataset yes?

[abrar-khan-368]

yes consists glb files.

[abrar-khan-368]

can i know which blender version are you using, i used 3.2.0

[Mrguanglei]

I installed blender directly with pip, blender=1.4

[abrar-khan-368]

`def save_images(object_file: str) -> None: os.makedirs(args.output_dir, exist_ok=True) reset_scene() load_object(object_file) object_uid = os.path.basename(object_file).split(".")[0] normalize_scene(box_scale=2) add_lighting(option='random') camera, cam_constraint = setup_camera()

empty = bpy.data.objects.new("Empty", None)
scene.collection.objects.link(empty)
cam_constraint.target = empty

img_dir = os.path.join(args.output_dir, object_uid)
os.makedirs(img_dir, exist_ok=True)

# Prepare to save camera parameters
cam_params = {
    "intrinsics": get_calibration_matrix_K_from_blender(camera.data, return_principles=True),
    "poses": []
}

bpy.context.scene.use_nodes = True
tree = bpy.context.scene.node_tree
links = tree.links

for n in tree.nodes:
    tree.nodes.remove(n)

bpy.context.scene.view_layers["ViewLayer"].use_pass_normal = True
bpy.context.scene.view_layers["ViewLayer"].use_pass_z = True
rl = tree.nodes.new(type='CompositorNodeRLayers')
composite = tree.nodes.new(type='CompositorNodeComposite')
links.new(rl.outputs['Image'], composite.inputs['Image'])
image_save = tree.nodes.new(type='CompositorNodeOutputFile')
links.new(rl.outputs['Image'], image_save.inputs['Image'])

# 设置深度节点
depth = tree.nodes.new(type="CompositorNodeMapValue")
depth.offset = [-0.7]
depth.size = [0.7]
depth.use_min = True
depth.min = [0]
depth.use_max = True
depth.max = [255]
links.new(rl.outputs['Depth'], depth.inputs[0])

depth_out = tree.nodes.new(type="CompositorNodeComposite")
links.new(depth.outputs[0], depth_out.inputs[0])
depth_save = tree.nodes.new(type="CompositorNodeOutputFile")
links.new(rl.outputs['Depth'], depth_save.inputs['Image'])

# 设置法线节点
normal = tree.nodes.new(type="CompositorNodeNormalize")
links.new(rl.outputs['Normal'], normal.inputs[0])
normal_out = tree.nodes.new(type="CompositorNodeComposite")
links.new(normal.outputs[0], normal_out.inputs[0])
normal_save = tree.nodes.new(type="CompositorNodeOutputFile")
links.new(rl.outputs['Normal'], normal_save.inputs['Image'])

for i in range(args.num_images):
    render_path = os.path.join(img_dir, f"{i:03d}.png")
    image_save.base_path = img_dir
    image_save.file_slots[0].path= f"{i:03d}_image.png"
    image_save.format.file_format='PNG'

    depth_save.base_path = img_dir
    depth_save.file_slots[0].path= f"{i:03d}_depth.png"
    depth_save.format.file_format='PNG'

    normal_save.base_path = img_dir
    normal_save.file_slots[0].path= f"{i:03d}_normal.png"
    normal_save.format.file_format='PNG'

    # Set the camera position
    camera_option = 'random' if i > 0 else 'front'
    camera = set_camera_location(camera, option=camera_option)
    bpy.ops.render.render(write_still=True)

    # # Render the color image
    # render_path = os.path.join(img_dir, f"{i:03d}.png")
    # scene.render.filepath = render_path
    # bpy.ops.render.render(write_still=True)

    # # Save camera RT matrix (C2W)
    # location, rotation = camera.matrix_world.decompose()[0:2]
    # RT = compose_RT(rotation.to_matrix(), np.array(location))
    # cam_params["poses"].append(RT)

    # # Render the normal image
    # bpy.context.scene.view_layers["ViewLayer"].use_pass_normal = True
    # #bpy.context.view_layer.use_pass_normal = True
    # normal_path = os.path.join(img_dir, f"{i:03d}_normal.png")
    # scene.render.filepath = normal_path
    # bpy.ops.render.render(write_still=True)
    # bpy.context.scene.view_layers["ViewLayer"].use_pass_normal = False
    # #bpy.context.view_layer.use_pass_normal = False

    # # Render the depth image
    # bpy.context.scene.view_layers["ViewLayer"].use_pass_z = True
    # #bpy.context.view_layer.use_pass_z = True
    # depth_path = os.path.join(img_dir, f"{i:03d}_depth.png")
    # scene.render.filepath = depth_path
    # bpy.ops.render.render(write_still=True)
    # bpy.context.scene.view_layers["ViewLayer"].use_pass_z = False
    # #bpy.context.view_layer.use_pass_z = False

# Save camera intrinsics and poses
np.savez(os.path.join(img_dir, 'camera.npz'), **cam_params)`

**Solved the issue by modifying the code in save_images**

[abrar-khan-368]

Also, i need help in training the instant mesh with my own data. I prepared the data with your script but there's a requirement for filtered_obj_name.json. I checked the paper, it said following criteria: (i) objects without texture maps, (ii) objects with rendered images occupying less than 10% of the view from any angle, (iii) including multiple separate objects, (iv) objects with no caption information provided by the Cap3D dataset, and (v) low-quality objects

i m not sure the json format of this file, can you share any information about this?

[ustbzgn]

Hello, I use your google drive glb data to test your render script, but i got black RGB and black depth image. I use following installation: pip install blender==1.4 pip install bpy==2.91a0 && bpy_post_install

[ShuaibZyx]

I meet the same issue, the RGB and depth image are black. I use blender 2.9.0-linux, please hlep, thank you! @Mrguanglei