LAVIS VS ImageMagick

For multimodal, there's China (*many), then Salesforce.

Been trying for all day to get a working inference for this example: https://github.com/salesforce/LAVIS/tree/main/projects/instructblip

There's also been big breakthroughs in computer vision. Not that long ago it was hard to recognize if a photo contained a bird; that's solved now by models like CLIP, Yolo, or Segment Anything. Now research has moved on to generating 3D scenes from images or interactively answering questions about images.

The new hotness is multimodal vision-language models like InstructBLIP that can interactively answer questions about images. Check out the examples in the github repo, I would not have thought this was possible a few years ago.

Salesforce’s BLIP family has a new member– InstructBLIP, a vision-language instruction-tuning framework using BLIP-2 models. It has achieved state-of-the-art zero-shot generalization performance on a wide range of vision-language tasks, substantially outperforming BLIP-2 and Flamingo. (Source)

Github

Most of my workflows are self-made. For captioning I used Blip-2 in a custom script I made that automates the process by going into directories and their sub-directories and creates a .txt file beside each image. This way I can keep my images organized in their proper directories, without having to put dump them all in a single place.

To tie all this together, we made an org profile for our GitHub organization page. There are some great examples of these, like Microsoft and PayPal. For Fastly's, we wanted something friendly and human so we used Imagemagick to create a montage of all the avatars of the Fastly team members who have contributed to the open source projects in our org:

Python has become a popular programming language for different applications, including data science, artificial intelligence, and web development. But, did you know creating and rendering fully customized videos with Python is also possible? At Stack Builders, we have successfully used Python libraries such as MoviePy, SciPy, and ImageMagick to generate videos with animations, text, and images. In this article, we will look closer at how Python can be used for video generation and explore some of the powerful libraries and tools that make it possible.

ImageMagick is the main tool and can do most conversions and image operations. For example to resize a whole folder of photos and convert to WebP you can do this:

Lack of open governance explains the fork in 2002. [0] The github commit history shows it's still a largely one-person-band. [1] The problems with this include a lack of succession planning, a lack of ability to scale bandwidth, and a narrower pool of ideas. The documentation website is really out-of-date as it mentions using a Borland compiler.

Alternatives to IM:

- https://www.libvips.org

- http://www.graphicsmagick.org (IM fork)

0. https://marc.info/?l=imagemagick-developer&m=104777007831767...

1. https://github.com/ImageMagick/ImageMagick

You can rotate it using https://imagemagick.org