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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.

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  2. Predict - Ultralytics YOLOv8 Docs

     
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  4. 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.
    Which Yolo model is used in darknet?YOLOv4 (by Alexey et al.) was the last YOLO model to be written in Darknet. After that, there have been many YOLO object detections. Scaled YOLOv4, YOLOX, PP-YOLO, YOLOv6, and YOLOv7 are some of the prominent among them.
    Where can I download yolov8 models?YOLOv8 Detect, Segment and Pose models pretrained on the COCO dataset are available here, as well as YOLOv8 Classify models pretrained on the ImageNet dataset. Track mode is available for all Detect, Segment and Pose models. All Models download automatically from the latest Ultralytics release on first use.
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    WebJan 10, 2023 · Learn how to use YOLOv8, the latest family of YOLO models from Ultralytics, for object detection, segmentation, and classification. See examples of inference results on videos and images using the CLI and …

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    WebApr 4, 2022 · Learn about the history and evolution of YOLO, a single-stage object detection algorithm, from YOLOv1 to YOLOv5. Compare the features, performance, and applications of different YOLO variants and their …

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    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, …

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