PaddleHub
caer
PaddleHub | caer | |
---|---|---|
9 | 8 | |
12,520 | 749 | |
0.4% | - | |
1.9 | 0.0 | |
7 months ago | 7 months ago | |
Python | Python | |
Apache License 2.0 | 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.
PaddleHub
-
Where are all the multi-modal models?
China: All of the ERNIE 260B cross-modal stuff.
-
[R] ERNIE-ViLG 2.0: Improving Text-to-Image Diffusion Model with Knowledge-Enhanced Mixture-of-Denoising-Experts + Gradio Demo
Hmm, is the code published? The thing on github just makes requests to a remote server.
-
PaddleHub ERNIE-ViLG
PaddleHub has many interesting model, I have starred it. https://github.com/PaddlePaddle/PaddleHub
-
[R] ERNIE-ViLG, a state-of-the-art text-to-image model that generates images from Chinese text
Was someone able to find out how big the model is and what hardware you need to run it? That info seems to be missing here.
- Baidu ERNIE-ViLG, output comparable to Stable Diffusion, better in anime
-
ERNIE-ViLG, a state-of-the-art text-to-image model that generates images from Chinese text
note this is an updated version, more info here (in chinese): https://github.com/PaddlePaddle/PaddleHub/tree/develop/modules/image/text_to_image/ernie_vilg
-
A text-to-image web app for ERNIE-ViLG is available, with output at 1024x1024 pixels. Example: "a beautiful chipmunk iceskating" (translated to Simplified Chinese by Google Translate). Links are in a comment.
GitHub repo.
-
[P] PaddleHub: An awesome and easy-to-use pre-trained models toolkit
code:https://github.com/PaddlePaddle/PaddleHub
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?
HDR-Multi-Tool - A graphical user interface for parsing HDR10+ and Dolby Vision
fiftyone - The open-source tool for building high-quality datasets and computer vision models
spleeter - Deezer source separation library including pretrained models.
img2table - img2table is a table identification and extraction Python Library for PDF and images, based on OpenCV image processing
allennlp - An open-source NLP research library, built on PyTorch.
opencv - Haskell binding to OpenCV-3.x
stanford-tensorflow-tutorials - This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
Single-Image-Dehazing-Python - python implementation of the paper: "Efficient Image Dehazing with Boundary Constraint and Contextual Regularization"
deepdrive - Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving
instant-ngp - Instant neural graphics primitives: lightning fast NeRF and more
best-of-ml-python - 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
moviepy - Video editing with Python