Computer Vision Stream
Computer Vision Stream
  • Видео 18
  • Просмотров 4 450
Send DeepStream object detection metadata to Kafka
In this video we will learn a minimal setup of deepstream object detection pipeline and sending this metadata to kafka broker.
Book deepstream consultation: dorozhko-anton.github.io/valuestream
#Startups #Development #Technology #Innovation #Programming #C++ #Python
Code: github.com/Dorozhko-Anton/ComputerVisionStreams/tree/main/DeepStream_7_KafkaMetadata
🔗 Connect with me:
Follow me on social media for more exciting updates and insights:
X: dorozhkoa
LinkedIn: www.linkedin.com/in/dorozhko-anton/
Просмотров: 23

Видео

Achieve better infernce performance with triton inference server
Просмотров 4814 дней назад
Setup Triton Inference Server with Prometheus Grafana dashboard. Book a consultation: dorozhko-anton.github.io/valuestream #Startups #Development #Technology #Innovation #Programming #C #Python Code: github.com/Dorozhko-Anton/ComputerVisionStreams/tree/main/TritonInferenceServer 🔗 Connect with me: Follow me on social media for more exciting updates and insights: X: dorozhkoa LinkedI...
The most important tool for DeepStream pipeline optimization
Просмотров 17021 день назад
Learn how to find all video processing pipeline bottlenecks using Nvidia Nsight, and improve the performance of your DeepStream pipelines. 🔔 Don't forget to like, subscribe, and hit the notification bell to stay updated with our latest videos! #Startups #Development #Technology #Innovation #Programming #C #Python Code: github.com/Dorozhko-Anton/ComputerVisionStreams/tree/main/DeepStream_Profili...
Video Summarization with VILA and LLama3.2 on Jetson
Просмотров 204Месяц назад
Learn how to rewrite Jetson services Video Summarization from GPT4 to llama3.2 hosted by OLLAMA. we will find a classical video processing pipeline bug in the Nvidia sample explaining why VLM recognized blue school bust instead of yellow. 🔔 Don't forget to like, subscribe, and hit the notification bell to stay updated with our latest videos! #Startups #Development #Technology #Innovation #Progr...
Object detection on Jetson without training data (zero-shot detection on Jetson)
Просмотров 155Месяц назад
Zero-shot detection with NanoOWL on Jetson devices. In this video, we cover a video processing pipeline to deploy open-vocabulary object detection that can handle even objects for which you don't have training data. 🔔 Don't forget to like, subscribe, and hit the notification bell to stay updated with our latest videos! #Startups #Development #Technology #Innovation #Programming #C #Python Code:...
You Won't Believe How Easy RTSP Streams Are with NVIDIA NVstreamer!
Просмотров 106Месяц назад
Generate RTSP streams from video files to test your video processing pipelines or setup a live demo for your clients. 🔔 Don't forget to like, subscribe, and hit the notification bell to stay updated with our latest videos! #Startups #Development #Technology #Innovation #Programming #C #Python Code: github.com/Dorozhko-Anton/ComputerVisionStreams/tree/main/CreateRTSPStream 🔗 Connect with me: Fol...
Avoid DEPENDENCY HELL and save time with Semantic Versioning 2.0.0
Просмотров 335 месяцев назад
In this video, we explore Semantic Versioning (SemVer)-a systematic approach to versioning software that helps developers manage dependencies, ensure compatibility, and communicate changes effectively. We’ll break down the MAJOR.MINOR.PATCH format, explain how it signals the impact of updates, and demonstrate how SemVer simplifies release planning and automation in software development. Whether...
DeepStream MultiObject Tracking Evaluation
Просмотров 2205 месяцев назад
In this video, we demonstrate how to extract tracking metadata in KITTI format, convert it to MOT format, and apply tracking evaluation to compute key multi-object tracking (MOT) metrics. Starting with a DeepStream pipeline that processes a video file, runs object detection, and utilizes an NVIDIA tracker, we walk through the process of adding a probe to dump tracking information. We guide you ...
Enhancing Performance: Measuring DeepStream Latency
Просмотров 1195 месяцев назад
In this video, we explore how to measure elements latency within a DeepStream pipeline. You'll learn the importance of latency monitoring in real-time AI applications and how to utilize Gstreamer tracing capabilities to accurately track and optimize your pipeline's performance. Whether you're working on object detection, video analytics, or any other AI-powered solution, understanding latency i...
Nvidia's DeepStream 7.0 Service Maker : Simplifying computer vision app development.
Просмотров 4066 месяцев назад
Are you a DeepStream developer looking to leverage GStreamer but find the learning curve too steep? We've got fantastic news for you! NVIDIA is excited to introduce a groundbreaking feature in the DeepStream technology suite: DeepStream Service Maker. This innovative addition is designed to simplify the development process by abstracting the complexities of GStreamer, allowing you to build C ob...
Best 35$ investment for every software engineer!
Просмотров 212Год назад
Modern Software Engineering Book: www.amazon.com/Modern-Software-Engineering-Discipline-Development/dp/0137314914 Also highly recommend David Farley's YT channel: Continuous Delivery @ContinuousDelivery 🔗 Connect with me: Follow me on social media for more exciting updates and insights: X: dorozhkoa LinkedIn: www.linkedin.com/in/dorozhko-anton/
(Part 4/5) 50 Computer Vision Applications for Smart City
Просмотров 51Год назад
🔍 What's Inside: In the first part of this series, we unveil the next 10 out of 50 remarkable computer vision applications shaping the cities of tomorrow. Discover how AI-powered cameras, sensors, and data analysis drive innovation across various urban life aspects. From real-time traffic optimization to intelligent waste management, each application brings us one step closer to the cities of o...
50 Comupter Vision Applications for Smart City (Part 3)
Просмотров 36Год назад
🔍 What's Inside: In the first part of this series, we unveil the next 13 out of 50 remarkable computer vision applications shaping the cities of tomorrow. Discover how AI-powered cameras, sensors and data analysis drive innovation across various urban life aspects. From real-time traffic optimization to intelligent waste management, each application brings us one step closer to the cities of ou...
50 Computer Vision Applications for Smart City (part 2)
Просмотров 69Год назад
🔍 What's Inside: In the first part of this series, we unveil the next 12 out of 50 remarkable computer vision applications shaping the cities of tomorrow. Discover how AI-powered cameras, sensors and data analysis drive innovation across various urban life aspects. From real-time traffic optimization to intelligent waste management, each application brings us one step closer to the cities of ou...
50 Computer Vision Applications for Smart City (Part 1)
Просмотров 164Год назад
🔍 What's Inside: In the first part of this series, we unveil the first 5 out of 50 remarkable computer vision applications that are shaping the cities of tomorrow. Discover how AI-powered cameras, sensors, and data analysis are driving innovation across various aspects of urban life. From real-time traffic optimization to intelligent waste management, each application brings us one step closer ...
Consume any video source in OpenCV with GStreamer
Просмотров 1,7 тыс.Год назад
Consume any video source in OpenCV with GStreamer
Level Up Your Computer Vision Skills with GStreamer: An Introductory Tutorial
Просмотров 605Год назад
Level Up Your Computer Vision Skills with GStreamer: An Introductory Tutorial
Master the Art of Testing Computer Vision with Real-World Streams
Просмотров 197Год назад
Master the Art of Testing Computer Vision with Real-World Streams

Комментарии

  • @rafaeldesantis7580
    @rafaeldesantis7580 6 часов назад

    could you make a tutorial on how to detect theft and shoplifting in retail enviroments using computer vision ?

    • @ComputerVisionStream
      @ComputerVisionStream 3 часа назад

      I will add this request to the list, but before that there are quite a few topics that I would like to process.

  • @SalvadorSScardua
    @SalvadorSScardua 27 дней назад

    Thank you for share.

    • @ComputerVisionStream
      @ComputerVisionStream 27 дней назад

      Thanks for watching and subscription. Hope my video will bring you and your clients measurable value.

  • @nitinrai6093
    @nitinrai6093 5 месяцев назад

    Hi Anton, the audio seems to be distorted, this happens when you speedup the video during editing. Instead you can use ffmpeg on the final rendered video to avoid such issues. Here is the command that worked for me. This speedups by 1.3x ffmpeg -i input.mp4 -vf "setpts=(PTS-STARTPTS)/1.3" -crf 18 -af atempo=1.3 speedup.mp4

  • @amireshaq
    @amireshaq 6 месяцев назад

    Audio is not clear - at least to me

    • @ComputerVisionStream
      @ComputerVisionStream 6 месяцев назад

      Thanks for the comment, will improve in the next video.

  • @amireshaq
    @amireshaq 6 месяцев назад

    dont stop, this is good stuff

    • @ComputerVisionStream
      @ComputerVisionStream 6 месяцев назад

      Thank you so much for the encouragement, Amir! Will definitely share more interesting videos about computer vision.

  • @cabaracabara
    @cabaracabara Год назад

    In my OpenCV built using python Gstreamer is "NO" and I do have Gstreamer installed. How I can gstreamer building in opencv??

    • @ComputerVisionStream
      @ComputerVisionStream 11 месяцев назад

      You can try to rebuild opencv from source and activate gstreamer support with cmake flags

    • @DheerajSharma-sv1im
      @DheerajSharma-sv1im 3 месяца назад

      ​@@ComputerVisionStream Did this but still it says no to gstreamer

  • @evglenka1
    @evglenka1 Год назад

    Great video! Keep going 👍

  • @IgorSamenko
    @IgorSamenko Год назад

    Amazing!

  • @sergears9780
    @sergears9780 Год назад

    Keep doing what you are doing bro!

  • @arturavazov4599
    @arturavazov4599 Год назад

    Very interesting ! Thank you

  • @ЮрийЖелезняков-ч5м

    Nice insight into CV in practice 👍