Fingerprint-Enhancement-Python
caer
| Fingerprint-Enhancement-Python | caer | |
|---|---|---|
| 1 | 8 | |
| 207 | 749 | |
| - | - | |
| 2.6 | 0.0 | |
| about 2 months ago | 7 months ago | |
| Python | Python | |
| BSD 2-clause "Simplified" License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
Fingerprint-Enhancement-Python
caer
- Show HN: Caer – A lightweight GPU-accelerated Vision library in Python
- I wrote a lightweight GPU-accelerated Vision library in Python
-
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?
Fingerprint-Feature-Extraction - Extract minutiae features from fingerprint images
fiftyone - The open-source tool for building high-quality datasets and computer vision models
dandere2x-tremx - Dandere2x Tremx implementation / flavor. Unmaintained and broken WONTFIX, my focus is on my other project MMV. Please use akai-katto's mainstream dandere2x instead, it's better in many aspects. This was my first serious Python project, learned a lot from it.
img2table - img2table is a table identification and extraction Python Library for PDF and images, based on OpenCV image processing
ncappzoo - Contains examples for the Movidius Neural Compute Stick.
opencv - Haskell binding to OpenCV-3.x
video-to-ascii - It is a simple python package to play videos in the terminal using characters as pixels
Single-Image-Dehazing-Python - python implementation of the paper: "Efficient Image Dehazing with Boundary Constraint and Contextual Regularization"
Automatic-License-Plate-Recognition - Automatic License Plate Recognition is implemented using Python, OpenCV and Tesseract to recognize Indian license plates and store the data in a CSV file.
instant-ngp - Instant neural graphics primitives: lightning fast NeRF and more
multi-object-tracker - Multi-object trackers in Python
moviepy - Video editing with Python