gazebo_aruco_box
eulerian-remote-heartrate-detection
gazebo_aruco_box | eulerian-remote-heartrate-detection | |
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1 | 4 | |
6 | 292 | |
- | - | |
10.0 | 1.8 | |
almost 2 years ago | over 1 year ago | |
Python | Python | |
MIT License | - |
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gazebo_aruco_box
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Problem with capturing ArUco Markers
When I tried putting both together I was able to see only the coke can whether I kept it in front or behind the aruco marker box(I am using this as I had forgottenly deleted the prism one). I got this from a github repo (https://github.com/FabianReister/gazebo_aruco_box). Here is the image of the latter case,
eulerian-remote-heartrate-detection
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Computer Vision Project: Heart Rate Detection using Eulerian Magnification (Source Code link in the comment section)
Source/Code: https://github.com/rohintangirala/eulerian-remote-heartrate-detection
- [PROJECT]Heart Rate Detection using Eulerian Magnification
What are some alternatives?
aruco-estimator - Automatic Scale Factor Estimation of 3D Reconstruction in COLMAP Utilizing Aruco Marker
pyVHR - Python framework for Virtual Heart Rate
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heartbeat - Desktop implementation of Remote Photoplethysmography – Measuring heart rate using facial video.
AS-One - Easy & Modular Computer Vision Detectors, Trackers & SAM - Run YOLOv9,v8,v7,v6,v5,R,X in under 10 lines of code.
NeuroKit - NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing
multi-object-tracker - Multi-object trackers in Python
image_feature_extraction - A collection of python classes for feature extractions. The features are calculated inside a Region of Interest (ROI) and not for the whole image: the image is trully a polygon!
caer - High-performance Vision library in Python. Scale your research, not boilerplate.
open-mcr - :pencil: Exam bubble sheet scorer. Created with OpenCV and Python.
Dask - Parallel computing with task scheduling
data-science-ipython-notebooks - Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.