ADNS3080
Example code for the ADNS-3080 optical flow sensor (by Lauszus)
VQGAN-CLIP-Video
Traditional deepdream with VQGAN+CLIP and optical flow. Ready to use in Google Colab. (by robobeebop)
| ADNS3080 | VQGAN-CLIP-Video | |
|---|---|---|
| 1 | 1 | |
| 51 | 22 | |
| - | - | |
| 0.0 | 1.8 | |
| about 1 year ago | about 2 years ago | |
| Python | Python | |
| - | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
ADNS3080
Posts with mentions or reviews of ADNS3080.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Need help debugging code
The full project is up here if you need more context. I'd appreciate any help (or a clue as to how exactly the image data bytes are being converted to pixel color)
VQGAN-CLIP-Video
Posts with mentions or reviews of VQGAN-CLIP-Video.
We have used some of these posts to build our list of alternatives
and similar projects.
What are some alternatives?
When comparing ADNS3080 and VQGAN-CLIP-Video you can also consider the following projects:
frame-interpolation - FILM: Frame Interpolation for Large Motion, In ECCV 2022.
optical.flow.demo - A project that uses optical flow and machine learning to detect aimhacking in video clips.
vqgan-clip-app - Local image generation using VQGAN-CLIP or CLIP guided diffusion
feed_forward_vqgan_clip - Feed forward VQGAN-CLIP model, where the goal is to eliminate the need for optimizing the latent space of VQGAN for each input prompt
moviepy - Video editing with Python
AI-Art - PyTorch (and PyTorch Lightning) implementation of Neural Style Transfer, Pix2Pix, CycleGAN, and Deep Dream!