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    answered Mar 23, 2021 at 19:34

    there's already an explanation on how to use the command line, especially to save result in .txt format, the link:

    https://github.com/AlexeyAB/darknet#how-to-use-on-the-command-line

    to save time, i will provide the point which is might be helpful:

    • To process a list of images data/train.txt and save results of detection to result.txt use:

    • darknet.exe detector test cfg/coco.data cfg/yolov4.cfg yolov4.weights -dont_show -ext_output < data/train.txt > result.txt

    might be late but maybe helpful to the others.

    Content Under CC-BY-SA license
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  4. YOLOv4 Object Detection Tutorial with Image and …

    WebJul 17, 2021 · Learn how to use YOLOv4, a powerful object detector model, for images and videos on Google Colab. Follow the steps to set up the environment, download the pre-trained model, and run the Darknet CLI …

  5. WebNov 12, 2018 · Learn how to use YOLO, a fast and accurate deep learning-based object detector, to detect objects in images and videos using OpenCV and Python. This tutorial covers the YOLO model architecture, …

  6. People also ask
    What is yolov4 model?It is an easy-to-use multi-purpose model which can be used for the detection, classification, and segmentation of day-to-day objects. We will have a brief introduction to the YOLOv4 model and then explain to you how to use YOLOv4 for object detection in images and videos. What is YOLOv4?
    How does yolov4 work?The architecture of YOLOv4 includes CSPDarknet53 as the backbone, PANet as the neck, and YOLOv3 as the detection head. This design allows YOLOv4 to perform object detection at an impressive speed, making it suitable for real-time applications. YOLOv4 also excels in accuracy, achieving state-of-the-art results in object detection benchmarks.
    How to download Yolo V4?You can download the YOLO v4 using following command Yolo v4 Github You can build the YOLO v4 using Make and CMake command. In this tutorial, I have setup YOLO v4 in my PC with the following configuration.
    What is the best Yolo model?Scaled YOLOv4, YOLOX, PP-YOLO, YOLOv6, and YOLOv7 are some of the prominent among them. After YOLOv3, Ultralytics also released YOLOv5 which was even better, faster, and easier to use than all other YOLO models. As of now (January 2023), Ultralytics published YOLOv8 under the ultralytics repository which is perhaps the best YOLO model till date.
  7. WebMay 1, 2020 · Learn the basics of object detection and the latest version of YOLO (You Only Look Once) in Ubuntu 20.04. Follow the steps to install, test and run YOLO v4 on images, videos and webcam.

  8. WebThis repository contains neural networks for object detection using Darknet framework. It includes pre-trained models, requirements, datasets, instructions and comparisons for Yolo v4, v3 and v2.

  9. Introduction to the YOLO Family - PyImageSearch

    WebApr 4, 2022 · Learn about the history and evolution of YOLO, a single-stage object detection algorithm. This tutorial covers all the YOLO variants, from YOLOv1 to YOLOX, and their features, advantages, and challenges.

  10. Comprehensive Guide to State Of The Art Object …

    WebJan 10, 2023 · YOLOv8 is the latest family of YOLO based Object Detection models from Ultralytics providing state-of-the-art performance. Leveraging the previous YOLO versions, the YOLOv8 model is faster and more …

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  13. python - How to save output of darknet YOLOv4 video in a txt file …

  14. Home - Ultralytics YOLOv8 Docs

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