gazebo_aruco_box
caer
gazebo_aruco_box | caer | |
---|---|---|
1 | 8 | |
6 | 749 | |
- | - | |
10.0 | 0.0 | |
almost 2 years ago | 7 months ago | |
Python | Python | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
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,
caer
- Show HN: Caer – A lightweight GPU-accelerated Vision library in Python
- I wrote a lightweight GPU-accelerated Vision library in Python
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Jetson nano python3 illegal instruction problem
I think it may have. If you look at line 10 of https://github.com/jasmcaus/caer/blob/master/configs.ini, you’ll see that caer has numpy and opencv-contrib-python dependencies that get referenced in its setup.py. If I recall correctly, pip on the nano doesn’t pick up the default numpy and opencv-python system installs, so when you go to install something like caer that has them as dependencies, it will install new copies except the wheel files that it grabs are incompatible. The solution I have found to work is to run something similar to the command above: “pip3 install —no-binary caer —no-binary numpy—no-binary opencv-contrib-python —no-binary typing-extensions —no-binary mypy —force-reinstall caer”. Some of those —no-binary options may not be necessary but they’ll at least ensure pip grabs the source for each of the dependencies and rebuilds it locally rather than using an imcompatible version. This command will take awhile! But you only should have to do it once.
- jasmcaus/caer Modern Computer Vision on the Fly
- Caer: High-performance Vision Library in Python (faster than Torchvision)
- Caer – A GPU-accelerated Computer Vision library (faster than Torchvision)
- jasmcaus/caer lightweight, scalable Computer Vision library for high-performance AI research
- Caer – A GPU-Accelerated Computer Vision Library in Python
What are some alternatives?
aruco-estimator - Automatic Scale Factor Estimation of 3D Reconstruction in COLMAP Utilizing Aruco Marker
fiftyone - The open-source tool for building high-quality datasets and computer vision models
Traffic-Signal-Violation-Detection-System - A Computer Vision based Traffic Signal Violation Detection System from video footage using YOLOv3 & Tkinter. (GUI Included)
img2table - img2table is a table identification and extraction Python Library for PDF and images, based on OpenCV image processing
eulerian-remote-heartrate-detection - Remote heart rate detection through Eulerian magnification of face videos
opencv - Haskell binding to OpenCV-3.x
AS-One - Easy & Modular Computer Vision Detectors and Trackers - Run YOLO-NAS,v8,v7,v6,v5,R,X in under 20 lines of code.
Single-Image-Dehazing-Python - python implementation of the paper: "Efficient Image Dehazing with Boundary Constraint and Contextual Regularization"
multi-object-tracker - Multi-object trackers in Python
instant-ngp - Instant neural graphics primitives: lightning fast NeRF and more
moviepy - Video editing with Python
RobustVideoMatting - Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX, CoreML!