caer
tsdf-fusion-python
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caer | tsdf-fusion-python | |
---|---|---|
8 | 2 | |
749 | 1,087 | |
- | - | |
0.0 | 0.0 | |
7 months ago | about 1 year ago | |
Python | Python | |
MIT License | BSD 2-clause "Simplified" License |
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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
tsdf-fusion-python
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TSDF integration with disparity maps?
i found this https://github.com/andyzeng/tsdf-fusion-python but it uses depth maps in mm which is not what i need
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From Azure Kinect To Hololens2
First, I would suggest looking into https://github.com/andyzeng/tsdf-fusion-python and it’s parent project https://github.com/andyzeng/3dmatch-toolbox as they are pretty good KinectFusion implementations that are under active development and support the Azure Kinect v4.
What are some alternatives?
fiftyone - The open-source tool for building high-quality datasets and computer vision models
tinysfm - Structure From Motion in 50 lines using OpenCV
img2table - img2table is a table identification and extraction Python Library for PDF and images, based on OpenCV image processing
Meshroom - 3D Reconstruction Software
opencv - Haskell binding to OpenCV-3.x
consistent_depth - We estimate dense, flicker-free, geometrically consistent depth from monocular video, for example hand-held cell phone video.
Single-Image-Dehazing-Python - python implementation of the paper: "Efficient Image Dehazing with Boundary Constraint and Contextual Regularization"
quanfima - Quanfima (Quantitative Analysis of Fibrous Materials)
instant-ngp - Instant neural graphics primitives: lightning fast NeRF and more
CPPE-Dataset - Code for our paper CPPE - 5 (Medical Personal Protective Equipment), a new challenging object detection dataset
moviepy - Video editing with Python
PaddleHub - Awesome pre-trained models toolkit based on PaddlePaddle. (400+ models including Image, Text, Audio, Video and Cross-Modal with Easy Inference & Serving)