Hello,
I am trying to visualize, with visualization.Visualizer, depth data frames from an Analog Devices camera continuously. I figure I cannot do that because in python you do not give access to changing the data from Image buffers.
In cpp, I can do that with: std::vector<uint8_t> data_, but I see no possibility in python.
Is there any way I can modify data from an Image without transforming it in np.array and copying in another Image. I want to do it in the same Image.
Thank you
Hello,
Here is an example of code that does not work properly. I create a visualizer window where I want to display frame to frame 3 pictures. When displayed it only shows the first image.
I attach the 3 images I trying to display: 
Hello,
Does anyone had time to look into this?
Thank you
Hi, one way to access raw buffer is using np.array(depth_image). I will check how to update it in a rendering loop properly and be back.
Hello,
Yes, I used np.array(depth_image) for accessing the data, for view or for copy in another Image. My problem is that I cannot change the data directly in my Image.
Please let me know if you succeed with the rendering loop.
Thank you,
Hello,
Did you have some time to look into the rendering loop problem?
Thank you
Sorry for coming back late. Attached is a code snippet that works for me.
Press SPACE to load next image; press ESC to exit; I didn’t add border check in this simple file (like file not found).
Please let me know if you have further problems.
import open3d as o3d
import numpy as np
class ImLoader:
def __init__(self, base_path, base_index=0):
# path to the indexed files
self.path = base_path
self.index = base_index
def next(self):
self.index += 1
# Or other format you desire
return o3d.io.read_image('{}/{}.png'.format(self.path, self.index))
class Visualizer:
def __init__(self, imloader):
# Global flags
self.flag_exit = False
self.flag_next = False
self.imloader = imloader
self.curr_im = imloader.next()
def escape_callback(self, vis):
self.flag_exit = True
return False
def space_callback(self, vis):
lhs = np.asarray(self.curr_im)
rhs = np.asarray(imloader.next())
lhs[:] = rhs[:]
return False
def run(self):
glfw_key_escape = 256
glfw_key_space = 32
vis = o3d.visualization.VisualizerWithKeyCallback()
vis.register_key_callback(glfw_key_escape, self.escape_callback)
vis.register_key_callback(glfw_key_space, self.space_callback)
vis.create_window('recorder', 1920, 540)
vis.add_geometry(self.curr_im)
vis_geometry_added = False
while not self.flag_exit:
vis.update_geometry(self.curr_im)
vis.poll_events()
vis.update_renderer()
if __name__ == '__main__':
imloader = ImLoader('.')
vis = Visualizer(imloader)
vis.run()