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Explore Official YOLO v7 COMPLETE Object Detection Tutorial | Windows & Linux with 50,686 views, 755 likes, and 110 comments. Experience the impact of this video content that has captured audience attention.

YOLO v7 object detection tutorial for Windows and Linux. This is a complete tutorial and covers all variations of the YOLO v7 object detector. YOLO v7 has just been released and exhibits a performance and speed boost over its predecessors. This tutorial is focused on running pre-trained YOLO v7 models (all seven variants). YOLO v7 surpasses all known object detectors in both speed and accuracy in the range from 5 FPS to 160 FPS and has the highest accuracy 56.8% AP among all known real-time object detectors with 30 FPS or higher on GPU V100. ** Code is available for our Patreon Supporters** https://www.patreon.com/TheCodingBug --------------------------------------------- ► Time Stamps: Introduction: (0:00) Download YOLOv7 Repository: (0:35) Setting up Environment: (1:15) Run YOLOv7: (5:09) Change Font and BBOX size: (7:25) --------------------------------------------- ► Links: https://github.com/WongKinYiu/yolov7 https://pytorch.org/get-started/previous-versions/ --------------------------------------------- ► Commands: (For saving the result on hard drive) python detect.py --weights yolov7.pt --conf 0.4 --img-size 640 --source yourvideo.mp4 (For showing the results in real-time) python detect.py --weights yolov7.pt --conf 0.4 --img-size 640 --source street2.mp4 --nosave --view-img (For creating a virtual environment in native python) python -m venv name_of_virtualenv --------------------------------------------- Want to discuss more? ►Join my discord: https://discord.gg/kUUvTQTTau #TheCodingBug --------------------------------------------- ► My Other Tutorials: ○ YOLOv7 Custom Object Detection (Win, Linux): https://youtu.be/-QWxJ0j9EY8 ○ YOLOv7 Complete Tutorial (Colab): https://youtu.be/_CkXDjmT8dc ○ TensorFlow Object Detection Complete Tutorial: https://youtu.be/2yQqg_mXuPQ ○ Realtime Object Detection Using OpenCV Python ON CPU: https://youtu.be/hVavSe60M3g ○ DETECTRON2 Custom Object Detection, Custom Instance Segmentation Tutorial: Part 2 (Training Models): https://youtu.be/GoItxr16ae8 ○ DETECTRON2 Custom Object Detection, Custom Instance Segmentation Tutorial: Part 1 (Preparing Data): https://youtu.be/ffTURA0JM1Q ○ Detectron2 on Colab: https://youtu.be/bjay7fT934Y ○ Instance Segmentation as Rendering: https://youtu.be/gnXlE9BO0lo ○ Detectron2 Complete Tutorial: https://youtu.be/Pb3opEFP94U ○ YOLOv4 On Android Using TFLite: https://youtu.be/YzAjAS6Os8c ○ Custom YOLOv4 Object Detection with TensorFlow and TFLite : https://youtu.be/vzTCJM18uoM ○ Darknet YOLOv4 Custom Object Detection: Part 2 (Training YOLOv4 Darknet): https://youtu.be/-NEB5P-SLi0 ○ Darknet YOLOv4 Custom Object Detection: Part 1 (Preparing Custom Dataset): https://youtu.be/sKDysNtnhJ4 ○ YOLOv4 Object Detection with TensorFlow, TFLite and TensorRT: https://youtu.be/tCmC7nyfJp8 ○ Darknet YOLOv4 Object Detection for Windows 10 on Images, Videos, and Webcams: https://youtu.be/FE2GBeKuqpc ○ Real-Time Object Detection on Webcam and Videos Using OpenCV With YOLOv3 and YOLOv4 | Windows Linux: https://youtu.be/FjyF03uawsA ○ Real-time Multiple Object Tracking with YOLOv4 TensorFlow and Deep Sort | Linux, Windows: https://youtu.be/GagII5PAeKg --------------------------------------------- ► Follow us on Twitter: https://twitter.com/BugCodingThe ► Support us on Patreon: https://www.patreon.com/TheCodingBug --------------------------------------------- DISCLAIMER: Links included in this description might be affiliate links. If you purchase a product or service with the links that I provide I may receive a small commission. There is no additional charge to you!

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