Blog

Piotr Skalski

ML Growth Engineer @ Roboflow | Owner @ github.com/SkalskiP/make-sense (2.4k stars) | Blogger @ skalskip.medium.com/ (4.5k followers)

Latest Posts by Piotr Skalski

How to Estimate Speed with Computer Vision

19 Jan 2024 • 6 min read

How to Estimate Speed with Computer Vision

In this blog post, we delve into the process of estimating vehicle speed using computer vision, covering the steps from object detection to tracking and addressing challenges like perspective distortion with OpenCV.

cogvlm on aws

20 Dec 2023 • 4 min read

How to Deploy CogVLM on AWS

Guide on deploying a CogVLM Inference Server with 4-bit quantization on Amazon Web Services, covering setup of EC2 instances, configuring hardware and software requirements, and starting the inference server with Docker.

Multimodal Maestro: Advanced LMM Prompting

29 Nov 2023 • 3 min read

Multimodal Maestro: Advanced LMM Prompting

Learn how to expand the range of LMMs' capabilities using Multimodal Maestro

GPT-4 Vision Alternatives

23 Nov 2023 • 7 min read

GPT-4 Vision Alternatives

Explore alternatives to GPT-4 Vision with Large Multimodal Models such as Qwen-VL and CogVLM, and fine-tuned detection models.

visual GPT-4 prompt injection

16 Oct 2023 • 5 min read

GPT-4 Vision Prompt Injection

In this article, we explore what prompt injection is and the techniques people have been using to perform prompt injection attacks on GPT-4.

First Impressions with LLaVA-1.5

10 Oct 2023 • 6 min read

First Impressions with LLaVA-1.5

In this guide, we share our first impressions testing LLaVA-1.5.

GPT-4 with Vision: Complete Guide and Evaluation

27 Sep 2023 • 11 min read

GPT-4 with Vision: Complete Guide and Evaluation

In this guide, we share findings experimenting with GPT-4 with Vision, released by OpenAI in September 2023.

How to Train RTMDet on a Custom Dataset

9 Aug 2023 • 8 min read

How to Train RTMDet on a Custom Dataset

Learn how to train a RTMDet computer vision model on a custom dataset.

ChatGPT Code Interpreter for Computer Vision

12 Jul 2023 • 7 min read

ChatGPT Code Interpreter for Computer Vision

In this article, we share the results of our experimentation with ChatGPT's code interpreter feature on various computer vision tasks.

How to Train YOLO-NAS on a Custom Dataset

16 May 2023 • 7 min read

How to Train YOLO-NAS on a Custom Dataset

YOLO-NAS is the latest state-of-the-art real-time object detection model. Learn how to train YOLO-NAS on your custom data.

Leveraging Embeddings and Clustering Techniques in Computer Vision

1 May 2023 • 6 min read

Leveraging Embeddings and Clustering Techniques in Computer Vision

Explore the world of image embeddings in computer vision, as we dive into clustering, dataset assessment, and detecting image duplication. Discover dimensionality reduction techniques like t-SNE and UMAP. Use CLIP embeddings for analyzing image class distribution and identifying similar images.

Zero-Shot Image Annotation with Grounding DINO and SAM - A Notebook Tutorial

21 Apr 2023 • 5 min read

Zero-Shot Image Annotation with Grounding DINO and SAM - A Notebook Tutorial

In this comprehensive tutorial, discover how to speed up your image annotation process using Grounding DINO and Segment Anything Model. Learn how to convert object detection datasets into instance segmentation datasets, and use these models to automatically annotate your images.

Grounding DINO : SOTA Zero-Shot Object Detection

30 Mar 2023 • 6 min read

Grounding DINO : SOTA Zero-Shot Object Detection

Most object detection models are trained to identify a narrow predetermined collection of classes. Zero-shot detectors like Grounding DINO want to break this status quo by making it possible to detect new objects without re-training a model.

Build Computer Vision Applications Faster with Supervision

27 Mar 2023 • 2 min read

Build Computer Vision Applications Faster with Supervision

Learn how Supervision, a new Python package with utilities for building computer vision apps, can help you work through your computer vision projects faster than ever.

How to Code Non-Maximum Suppression (NMS) in Plain NumPy

8 Mar 2023 • 4 min read

How to Code Non-Maximum Suppression (NMS) in Plain NumPy

SUMMARY Double detection, where an object detection model fires multiple overlapping bounding boxes on the same object, is a common issue that breaks downstream analytics like counting and tracking. Non-Maximum Suppression (NMS) resolves this by computing Intersection over Union (IoU) across all predicted boxes and discarding lower-confidence duplicates

Track and Count Objects Using YOLOv8

1 Feb 2023 • 4 min read

Track and Count Objects Using YOLOv8

Counting moving objects is one of the most popular use cases in computer vision. It is used, among other things, in traffic analysis and as part of the automation of manufacturing processes. That is why understanding how to do it well is crucial for any CV engineer.

How to Train YOLOv7 Instance Segmentation on a Custom Dataset

29 Dec 2022 • 11 min read

How to Train YOLOv7 Instance Segmentation on a Custom Dataset

In this article, we're going to walk through how to detect concrete cracks using instance segmentation.

Track Football Players with Computer Vision

9 Dec 2022 • 4 min read

Track Football Players with Computer Vision

In this post, we use a YOLOv5 detection model and state-of-the-art tracker ByteTRACK to track football players.

Use Docker to Deploy Computer Vision Models

17 Nov 2022 • 4 min read

Use Docker to Deploy Computer Vision Models

SUMMARY Deploying a computer vision model involves far more than training it: managing Python packages, CUDA versions, system-level dependencies, and hardware differences all create friction before a single inference runs in production. Docker addresses this by packaging an application and all its dependencies into a portable container image, which

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