Pointcloud, how remove background?

[RarDay]

I get pointcloud from my depth camera. And I want to remove extra points that are far away, how do I put a condition in the code?

Required Info
Camera Model	D435i
Operating System & Version	Windows 10
Language	Python 3.7

My code for save pointcloud:

import pyrealsense2 as rs


pipe = rs.pipeline()
config = rs.config()
config.enable_stream(rs.stream.depth)
pipe.start(config)
colorizer = rs.colorizer()

try:

    frames = pipe.wait_for_frames()
    colorized = colorizer.process(frames)

    ply = rs.save_to_ply("1.ply")
    ply.set_option(rs.save_to_ply.option_ply_binary, False)
    ply.set_option(rs.save_to_ply.option_ply_normals, True)

    print("Saving to 1.ply...")
    ply.process(colorized)
    print("Done")
finally:
    pipe.stop()

And i have code to remove background:

import pyrealsense2 as rs
import numpy as np
import cv2


pipeline = rs.pipeline()
config = rs.config()
config.enable_stream(rs.stream.depth, 640, 480, rs.format.z16, 30)
config.enable_stream(rs.stream.color, 640, 480, rs.format.bgr8, 30)
pipeline.start(config)

align_to = rs.stream.color
align = rs.align(align_to)

try:
    while True:

        frames = pipeline.wait_for_frames()
        aligned_frames = align.process(frames)

        aligned_depth_frame = aligned_frames.get_depth_frame()
        color_frame = aligned_frames.get_color_frame()

        depth_image = np.asanyarray(aligned_depth_frame.get_data())
        color_image = np.asanyarray(color_frame.get_data())

        depth_image_3d = np.dstack((depth_image, depth_image, depth_image))
        bg_removed = np.where((depth_image_3d > 0.5 / 0.0007) | (depth_image_3d <= 0), 155, color_image)

        cv2.imshow('Align Example', depth_image_3d)

        key = cv2.waitKey(1)

        if key & 0xFF == ord('q') or key == 27:
            cv2.destroyAllWindows()
            break

finally:
    pipeline.stop()

[MartyG-RealSense]

Hi @RarDay You can apply a Threshold Filter to set a minimum and maximum depth distance. Data outside of the defined range is excluded from the image. The threshold filter's programming reference for pyrealsense2 is linked to below.

https://intelrealsense.github.io/librealsense/python_docs/_generated/pyrealsense2.threshold_filter.html

[RarDay]

@MartyG-RealSense hmm yes, i find this func but i dont understand where i must put it

<...>
thre = rs.threshold_filter(0.1, 0.7)

try:
    frames = pipe.wait_for_frames()
    aligned_frames = align.process(frames)
    colorized = colorizer.process(aligned_frames)

    ply = rs.save_to_ply("1.ply")

    ply.set_option(rs.save_to_ply.option_ply_threshold, True)
    ply.process(colorized)
<...>

[MartyG-RealSense]

The above script reference about threshold refers to the export of point cloud data to a ply file.

There is very little information available in regard to scripting for implementing a minimum-maximum depth threshold filter in a Python program. The best guidance that I found is in the link below:

#3002 (comment)

[acbuynak]

Hello! I'm interested in a similar application of threshold_filter and wanted to share my progress. Note: I had stumbled across option_range, but was unable to implement.

The below application successfully filtered the point cloud to under the configured distance option (1). The units seem to be in meters. I don't know what defines this, but assume it ties back to option.depth_units. Further, the filter would only accept the frames type and not a frames.get_depth_frame() type. I'm still new to rs and cannot explain why.

pc = rs.pointcloud()
points = rs.points()
pipe = rs.pipeline()

config = rs.config()
config.enable_stream(rs.stream.depth)

pipe.start(config)

threshold_filter = rs.threshold_filter()
threshold_filter.set_option(rs.option.max_distance, 1)

try:
  frames = pipe.wait_for_frames()
  frames_filtered = threshold_filter.process(frames)

[RarDay]

@acbuynak It's that i found, thanks!
If you are interested, I want to take the points of the face and record them in the database to then recognize people. Something like "face recognition".

[MartyG-RealSense]

Thanks so much @acbuynak for sharing your code :)

[iPsych]

@acbuynak It's that i found, thanks! If you are interested, I want to take the points of the face and record them in the database to then recognize people. Something like "face recognition".

Hi, did you succeed to remove background and save recorded data (in my case, it's .bag, but can be easily converted to .ply)?