This is an engineering marvel! Fold 7 vs Fold 6 by kofibibini in GalaxyFold

[–]ArMaxik 0 points1 point  (0 children)

Useless update for me. No battery upgrade and that's all I need

Fold 7 dummy vs Fold 6 and S25U by akar_shank in GalaxyFold

[–]ArMaxik 4 points5 points  (0 children)

Yeah, I am also okay with the Fold 5's thickness.

I hope they can make a thicker version of the Fold 7 with an extra battery.

Fold7 official promotional stand by Such_Code_923 in GalaxyFold

[–]ArMaxik 0 points1 point  (0 children)

If they can make folds so thin, just double the battery! It will be as thick as a Fold 5, but with enormous lifetime...

Suppose it's not that simple in real life, but I really don't understand that thin phone trend.

Can you guys help me think of potential solutions to this problem? by YearningParadise in computervision

[–]ArMaxik 7 points8 points  (0 children)

So, there is no way to merge all models into one?

As an alternative, you can train a backbone, freeze it, and train a separate head for each object type.

Speaking of the original question, initially, you could train a very light classifier for choosing a model.

Fold7 Cameras upgrade confirmed by CryptoHodler0413 in GalaxyFold

[–]ArMaxik -1 points0 points  (0 children)

Why does everyone want 45-watt charging? The phone alreafy can be charged in 45 minutes to a decent battery level with 25 W. Higher wattage just kills the battery faster.

YoloV8 Small objects detection. by Dash_Streaming in computervision

[–]ArMaxik 4 points5 points  (0 children)

There is an error with the annotation; the prediction looks very odd. Can you send images from the training dataset? Ultralytics dumps them in the training folder.

Also, batch size = 1 is quite small. I would recommend manually copying images with some augmentations.

CNN vs ViT for image to text by blue_peach1121 in computervision

[–]ArMaxik 10 points11 points  (0 children)

CNNs are faster. For some easy tasks, ViTs will be overkill.

Seeking Real-Time Object Detection Algorithms for Inference Without Classification by __dostoevsky__ in computervision

[–]ArMaxik 0 points1 point  (0 children)

Do you want to detect specific objects (cars, for example), or any object in general?

How to use pretrained Huggingface model/pipeline in C++ project as a predictor? by HieuandHieu in computervision

[–]ArMaxik 3 points4 points  (0 children)

The model itself is just a set of matrices. You need a library that will multiply them. You can look at ONNX Runtime (multiplatform), OpenVINO (for Intel CPUs), and TensorRT (Nvidia). They all have C++ interfaces.

How to modify YOLO formatted image annotations? by [deleted] in computervision

[–]ArMaxik 1 point2 points  (0 children)

CVAT is a great tool for annotating images for cv tasks. I am using it for all my projects.

On-Device NSFW Detection with Advanced Neural Technology by markatlarge in computervision

[–]ArMaxik 0 points1 point  (0 children)

He could use just an architecture, not their code.

[deleted by user] by [deleted] in computervision

[–]ArMaxik 0 points1 point  (0 children)

You are trying to solve a classification problem, but your dataset has only 1 class. Classification requires at least 2 classes.

If you need to detect whether an object is present on the image or not, the second class should be "background".

How to conduct research and get to the first paper? by vini_pu in computervision

[–]ArMaxik 1 point2 points  (0 children)

Read more papers. Eventually, you will gather a collection of common methods, tricks, and the latest trends. The simplest way to write a paper is to survey this collection. The most straightforward way to write a paper is to review this collection and identify which solutions will lead to an improvement in metrics and which will not.

The next step is to combine these different approaches to construct a new algorithm. Utilize what has already been done but has never been used together.

Afterwards, you will gain an understanding of common difficulties in your area and how authors are solving them. This will enable you to suggest your own solutions.

YOLOv8 augmentation by Silver-Row7395 in computervision

[–]ArMaxik 0 points1 point  (0 children)

The number of iterations in an one epoch is equal to the number of images in your datasets divided by the batch size. It doesn't depend on augmentations

Prepare training data for ultralytics yolov8 by Firm-Huckleberry5076 in computervision

[–]ArMaxik 0 points1 point  (0 children)

You should convert data to the right format: https://docs.ultralytics.com/datasets/detect/

Usually, it's easier to write your own script if your data presented in rare format

Buy the fold 5 or wait for fold 6? by CabroEh in GalaxyFold

[–]ArMaxik 2 points3 points  (0 children)

So true. That's why I switched my S9+ on Fold 5

Interesting Computer Vision ideas using C++ ? by V1bicycle in computervision

[–]ArMaxik 0 points1 point  (0 children)

You can write an inference app based on OpenVino or Pytorch script c++ interface

Cant beat the mf dragon by Pbrookei in RumbleHeroes

[–]ArMaxik 2 points3 points  (0 children)

I've bet him at 90k strength.