disparity-view 0.0.16

depth npy file viewer

disparity-view

viewer for disparity data in npy file format

checked environment

• NVIDIA Jetson AGX orin
• Ubuntu 20
• python3.8
• Optional:
  • ZED SDK 4.1 (StereoLabs)

Install in docker environment

pip install is executed in Dockerfile.

docker_build.sh
docker_run.sh

# now you can  execute inside docker environment
zed_capture -h
disparity_viewer -h

Install without docker

python3 -m pip install .[dev]

tools

$ view_npy -h
usage: view_npy [-h] [--vmax VMAX] [--vmin VMIN] [--disp3d] [--outdir OUTDIR] [--gray] [--jet] [--inferno] [--normal] npy_file

np file viewer

positional arguments:
  npy_file         npy_file to view

optional arguments:
  -h, --help       show this help message and exit
  --vmax VMAX      max disparity [pixel]
  --vmin VMIN      min disparity [pixel]
  --disp3d         display 3D
  --outdir OUTDIR  save colored or ply

colormap:
  --gray           gray colormap
  --jet            jet colormap
  --inferno        inferno colormap
  --normal         normal mapping

view_npy --normal  --outdir normal test/test-imgs/disparity-IGEV/left_motorcycle.npy
view_npy --jet  --outdir jet test/test-imgs/disparity-IGEV/left_motorcycle.npy

script version

python3 scripts/view_npy.py -h

reproject to 2D

$ python3 project.py -h
usage: project.py [-h] [--axis AXIS] [--gif] [--outdir OUTDIR] disparity left json

reprojector

positional arguments:
  disparity        disparity npy file
  left             left image file
  json             json file for camera parameter

optional arguments:
  -h, --help       show this help message and exit
  --axis AXIS      axis to shift(0: to right, 1: to upper, 2: to far)
  --gif            git animation
  --outdir OUTDIR  output folder

depth_to_normal

• Depth image is not easy to recognize fine structure.
• Ported depth_to_normal from following github.

python3 scripts/depth_to_normal_map.py -h
usage: depth_to_normal_map.py [-h] [--outdir OUTDIR] input

Convert depth map to normal map

positional arguments:
  input            Path to depth map gray image

optional arguments:
  -h, --help       show this help message and exit
  --outdir OUTDIR  Output directory for normal map image (default: output)

$ python3 depth_overlay.py -h
usage: depth_overlay.py [-h] [--outdir OUTDIR] [--jet] [--inferno] disparity left

overlay depth image to left image

positional arguments:
  disparity        disparity npy file
  left             left image file

optional arguments:
  -h, --help       show this help message and exit
  --outdir OUTDIR  output folder

colormap:
  --jet            jet colormap
  --inferno        inferno colormap

generate ply file

$ python3 gen_ply.py -h
usage: gen_ply.py [-h] [--outdir OUTDIR] disparity left json

generate ply file

positional arguments:
  disparity        disparity npy file
  left             left image file
  json             json file for camera parameter

optional arguments:
  -h, --help       show this help message and exit
  --outdir OUTDIR  output folder

optional tool (with ZED SDK)

If you have ZED2i or ZED_X by StereoLabs, You can use following command to capture stereo images and disparity npy files. Access here for more information. https://www.stereolabs.com/en-jp

$ zed_capture -h
usage: zed_capture [-h] [--input_svo_file INPUT_SVO_FILE] [--ip_address IP_ADDRESS] [--resolution RESOLUTION] [--confidence_threshold CONFIDENCE_THRESHOLD] [--outdir OUTDIR]

capture stereo pairs

optional arguments:
  -h, --help            show this help message and exit
  --input_svo_file INPUT_SVO_FILE
                        Path to an .svo file, if you want to replay it
  --ip_address IP_ADDRESS
                        IP Adress, in format a.b.c.d:port or a.b.c.d, if you have a streaming setup
  --resolution RESOLUTION
                        Resolution, can be either HD2K, HD1080, HD720, SVGA or VGA
  --confidence_threshold CONFIDENCE_THRESHOLD
                        depth confidence_threshold(0 ~ 100)
  --outdir OUTDIR       image pair output

After zed_capture execution, you will have following folders.

./outdir
./outdir/left
./outdir/right
./outdir/zed-disparity

Note on StereoLabs ZED2i Camera

• You can get stereo rectified left, right image pairs with timestamp.
• You can retrieve depth data and point cloud by zed sdk.

how to make whl file

inside docker environment if you are using docker

make whl

will generate

dist/disparity_view-0.0.1-py3-none-any.whl
dist/disparity_view-0.0.1.tar.gz

THANKS

https://github.com/cobanov/depth2normal.git