blackjack-basic-strategy VS sidekiq

It’s an easy to use inference server for computer vision models.

The end result is a Docker container that serves a standardized API as a microservice that your application uses to get predictions from computer vision models (though there is also a native Python interface).

It’s backed by a bunch of component pieces:

* a server (so you don’t have to reimplement things like image processing & prediction visualization on every project)

* standardized APIs for computer vision tasks (so switching out the model weights and architecture can be done independently of your application code)

* model architecture implementations (which implement the tensor parsing glue between images & predictions) for supervised models that you've fine-tuned to perform custom tasks

* foundation model implementations (like CLIP & SAM) that tend to chain well with fine-tuned models

* reusable utils to make adding support for new models easier

* a model registry (so your code can be independent from your model weights & you don't have to re-build and re-deploy every time you want to iterate on your model weights)

* data management integrations (so you can collect more images of edge cases to improve your dataset & model the more it sees in the wild)

* ecosystem (there are tens of thousands of fine-tuned models shared by users that you can use off the shelf via Roboflow Universe[1])

Additionally, since it's focused specifically on computer vision, it has specific CV-focused features (like direct camera stream input) and makes some different tradeoffs than other more general ML solutions (namely, optimized for small-fast models that run at the edge & need support for running on many different devices like NVIDIA Jetsons and Raspberry Pis in addition to beefy cloud servers).

[1] https://universe.roboflow.com

* Most of the time I find Roboflow extremely handy, I used it to merge datasets, augmentate, read tutorials and that kind of thing. Basically you just create your dataset with roboflow and focus on other aspects.

For computer vision, there are 100k+ open source classification, object detection, and segmentation datasets available on Roboflow Universe: https://universe.roboflow.com

Solid website and app overall for learning more about computer vision, discovering datasets, and keeping up with advancements in the field: * https://roboflow.com/learn * https://universe.roboflow.com (datasets) | https://blog.roboflow.com/computer-vision-datasets-and-apis/ * https://blog.roboflow.com

If you're lacking training images, you can also use [Roboflow Universe](https://universe.roboflow.com) to obtain them (over 100 million labeled images available)

Roboflow | Multiple Roles | Full-time (Remote) | https://roboflow.com/careers

Roboflow is the fastest way to use computer vision in production. We help developers give their software the sense of sight. Our end-to-end platform[1] provides tooling for image collection, annotation, dataset exploration and curation, training, and deployment.

Over 100k engineers (including engineers from 2/3 Fortune 100 companies) build with Roboflow. And we now host the largest collection[2] of open source computer vision datasets and pre-trained models[3].

We have several openings available, but are primarily looking for strong technical generalists who want to help us democratize computer vision and like to wear many hats and have an outsized impact. (We especially love hiring past and future founders.)

We're hiring 3 full-stack engineers this quarter and we're also looking for an infrastructure engineer with Elasticsearch experience.

[1]: https://docs.roboflow.com

[2]: https://blog.roboflow.com/computer-vision-datasets-and-apis/

[3]: https://universe.roboflow.com

Based on what I do/use when I prepare models: A good framework for creating and improving this dataset faster is to use Roboflow Universe and search “flowers” and “bouquets of flowers” in the search bar (it’s like Google Images for CV Datasets). You can search images by subject, or metadata, and clone them directly into a free public workspace (they house up to 10k images without charge). * https://universe.roboflow.com/ * https://universe.roboflow.com/search?q=flowers * https://universe.roboflow.com/search?q=bouqets

Lots of ideas will come to mind if you look and search through open source datasets: https://universe.roboflow.com/

Open source datasets: https://universe.roboflow.com/ Model training: https://docs.roboflow.com/train Model deployment: https://docs.roboflow.com/inference/hosted-api

Here's some info if you're considering Render. Node docs, and you might also be interested in connecting to MongoDB Atlas. Or you can deploy an instance of MongoDB yourself.

Django is fun! Not sure how helpful this might be, but I work at Render and we have a tutorial on deploying Django as well as an in-depth walk-through for using Django with Saleor for e-commerce. Looking at those might give you some good context and example structures to work with. Good luck!

Ok so i m trying to deploy my app on render.com but i am getting the following error:

- https://render.com/

Render

Cloud Application Hosting for Developers | Render

I understand why you might want to find a free solution, but I wanted to share that Render (where I work) has managed Postgres. You can use it for free for 90 days before deciding if you want to upgrade to a paid plan. I'd recommend a managed instance for a production environment.

I've tried to deploy to render.com on free tier, but it seems that each deploy resets the db.sqlite3 file, and I'd need it to persist.

Not sure if cpanel has this capability but railway.app, render.com, cleavr + aws or digital ocean droplet, coolify(open source) has the capability to set this up for you automatically. If you want to self host ssr manually, you'll need a aws ec2, digital ocean droplet, vultr server or linode server, then install nginx and nodejs, then setup your nuxt server.

Recently, I came to know that Heroku is going to stop supporting free services. I have almost all the projects running in Heroku and I never tried any services. Many people pointed out that Render is the best free alternative to the Heroku. So I am giving it a try by hosting a FastAPI application. Render seems to directly support python frameworks like Flask, Django etc as their documentation mentions them. But we should be able to host FastAPI app as it supports building any python app, we just need to change the starting command. Let's get into it without wasting another minute.