fast-data-dev VS yolov7

I liked https://lenses.io/ Lots of capabilities but it's not free as I know.

Lenses

For Kafka Dev I use https://github.com/lensesio/fast-data-dev

Currently I'm using Lenses:https://lenses.io/ as UI tool, but while turning on kafka-start-server server.properties and launch the UI on localhost, it failed to connect:

Oh thats sad to hear ... lenses.io is so powerful I am not sure how I would have gotten by to this point without it!

In Addition to the more critical replys from others, why Kafka still makes sense imo: - you could organist everything with custom pipeline/services at your scale. The cost of maintaining those and keep the technology up to date is growing exponentially with every new Service. Kafka offers ansinge Plattform with a couple components which need to be kept up to date. - deploying, managing and monitoring those service is also a big task and does not come for free. - unless your using Kubernetes underneath, scaling is not easy with services. - peer to peer communications of microservices should be avoided because your building a „deathstar“-like architecture where everything is linked and effectively you’ll end up with a distributed monolith. A message broker or message queue helps to avoid this, Kafka is a good tool for that. - I heard that those aws Kafka replacements are not 100% Kafka as one might expect, you should be careful there. But confluent or other providers probably offer hosted solutions on aws too. - https://lenses.io/ helped us a lot when we started with Kafka to see how everything works together, create stream processor’s with sql and easily deploy Kafka connect workers. The tool costs money though but is worth it in the end in my opinion. (Disclaimer: I don’t work for confluent or lenses, we’re running open source Kafka with strimzi and lenses)

https://github.com/lensesio/fast-data-dev is a really cool option for a Kafka development environment based on docker and/or kubernetes.

Yes: - https://lenses.io/ (use the Lenses box, it’s free) - https://github.com/lensesio/fast-data-dev - https://github.com/provectus/kafka-ui

If you want something off-the-shelf, try YoloV7.

The current dictionary is still in a beta state and has only been trained on 80 words (e.g. 'man', 'dog', 'car', 'keyboard', 'book', etc.; see list of words, see dataset). I used the object detection model Yolov7 (paper, all credits to them).

(Please note, this is a re-post of my original question here, I think this subreddit might be more appropriate for asking this question)At work, we use Unity, we have a project that needs object detection and classification. We decided to use this YOLO7 model (for non-technical reasons, It had to be the exact same model as the company does have pre-trained weights for this exact model). However, Unity only supports ONNX so I exported the model as an ONNX model, using the code provided in the repo:

Github Projects offering pretrained weights and train / run scripts. Example

The only project I found is this one that implements Yolov7

I'm wondering if there's an efficient way to visualize the image augmentations from the Yolov7 hyperparameters list here

yolov7: https://github.com/WongKinYiu/yolov7#performance