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Openpose with Infrared Images #2283

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OliviaNocentini opened this issue Feb 20, 2024 · 1 comment
Open

Openpose with Infrared Images #2283

OliviaNocentini opened this issue Feb 20, 2024 · 1 comment

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@OliviaNocentini
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    • Check the FAQ section, other GitHub issues, and general documentation before posting. E.g., low-speed, out-of-memory, output format, 0-people detected, installation issues, ...).
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  2. Fill all the Your System Configuration section if you are facing an error or unexpected behavior. Some posts (e.g., feature requests) might not require it.
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Issue Summary

Hi, I've been using openpose with RGB images and now I would like to use openpose with Infrared images from Realsense D435. When I run the infrared videos with openpose I got the skeleton on the person but sometimes it got confused with the rest of the environment and the skeleton appears far away from the person. Could be possible to change some parameters like brightness or contrast to obtain better skeleton detection with Infrared cameras? Is there any other suggestion you can give me to run a proper skeleton detection with IR images? Than you.

Executed Command (if any)

./build/examples/openpose/openpose.bin --video /home/zotac/Desktop/Olivia/test1_infrared.mp4 --number_people_max 1 --render_pose 2

OpenPose Output (if any)

Errors (if any)

Type of Issue

Select the topic(s) on your post, delete the rest:

  • Help wanted
  • Question

Your System Configuration

  1. Whole console output (if errors appeared), paste the error to PasteBin and then paste the link here: LINK

  2. OpenPose version: Latest GitHub code? Or specific commit (e.g., d52878f)? Or specific version from Release section (e.g., 1.2.0)?

  3. General configuration:

    • Installation mode: CMake, sh script, manual Makefile installation, ... (Ubuntu); CMake, ... (Windows); ...?
    • Operating system (lsb_release -a in Ubuntu):
    • Operating system version (e.g., Ubuntu 16, Windows 10, ...):
    • Release or Debug mode? (by default: release):
    • Compiler (gcc --version in Ubuntu or VS version in Windows): 5.4.0, ... (Ubuntu); VS2015 Enterprise Update 3, VS2017 community, ... (Windows); ...?
  4. Non-default settings:

    • 3-D Reconstruction module added? (by default: no):
    • Any other custom CMake configuration with respect to the default version? (by default: no):
  5. 3rd-party software:

    • Caffe version: Default from OpenPose, custom version, ...?
    • CMake version (cmake --version in Ubuntu):
    • OpenCV version: pre-compiled apt-get install libopencv-dev (only Ubuntu); OpenPose default (only Windows); compiled from source? If so, 2.4.9, 2.4.12, 3.1, 3.2?; ...?
  6. If GPU mode issue:

    • CUDA version (cat /usr/local/cuda/version.txt in most cases):
    • cuDNN version:
    • GPU model (nvidia-smi in Ubuntu):
  7. If CPU-only mode issue:

    • CPU brand & model:
    • Total RAM memory available:
  8. If Python API:

    • Python version: 2.7, 3.7, ...?
    • Numpy version (python -c "import numpy; print numpy.version.version" in Ubuntu):
  9. If Windows system:

    • Portable demo or compiled library?
  10. If speed performance issue:

@hiibolt
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hiibolt commented Apr 4, 2024

Raising exposure significantly and adding a black and white filter could potentially help, or perhaps creating a filter that as best as possible “reverses” the thermal effect.

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