Implicit-Internal-Video-Inpainting
caer
| Implicit-Internal-Video-Inpainting | caer | |
|---|---|---|
| 4 | 8 | |
| 239 | 749 | |
| - | - | |
| 0.0 | 0.0 | |
| almost 2 years ago | 7 months ago | |
| Python | Python | |
| - | MIT License |
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Implicit-Internal-Video-Inpainting
- HKUST AI Researchers Propose A Novel Neural Framework For Video Inpainting By Overfitting A CNN (Convolutional Neural Network) Without Explicit Guidance
- [R] HKUST AI Researchers Propose A Novel Neural Framework For Video Inpainting By Overfitting A CNN (Convolutional Neural Network) Without Explicit Guidance
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?
WebmGenerator - UI and Automation to cut, filter and join high quality webms, mp4s or gifs.
fiftyone - The open-source tool for building high-quality datasets and computer vision models
DeepMosaics - Automatically remove the mosaics in images and videos, or add mosaics to them.
img2table - img2table is a table identification and extraction Python Library for PDF and images, based on OpenCV image processing
Robo-Semantic-Segmentation - Just a simple semantic segmentation library that I developed to speed up the image segmentation pipeline
opencv - Haskell binding to OpenCV-3.x
PEN-Net-for-Inpainting - [CVPR'2019] PEN-Net: Learning Pyramid-Context Encoder Network for High-Quality Image Inpainting
Single-Image-Dehazing-Python - python implementation of the paper: "Efficient Image Dehazing with Boundary Constraint and Contextual Regularization"
ProPainter - [ICCV 2023] ProPainter: Improving Propagation and Transformer for Video Inpainting
instant-ngp - Instant neural graphics primitives: lightning fast NeRF and more
StableVideo - [ICCV 2023] StableVideo: Text-driven Consistency-aware Diffusion Video Editing
moviepy - Video editing with Python