Run Official YOLOv7 Object Detection on Images, Video & WebCam in Google Colab| 4K

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Learn how to get YOLOv7 Object Detection running in the Cloud with Google Colab. YOLOv7 is brand new and boasts many performance and speed upgrades over its predecessors. YOLOv7 is one of the world's fastest and most accurate object detection systems. Let's Walk-through the steps to run yolov7 with all models in the cloud and harness its vast power and speed. ALL WITH FREE GPU! This tutorial covers inference on Images, Videos, and WEBCAM!

Want to Learn YOLOv7 and solve real-world problems?

✅YOLOv7 surpasses all known object detectors (speed & accuracy)
✅56 FPS V100, 55.9% AP
✅120% faster than YOLOv5
✅State-of-the-Art

YOLOv7 outperforms PP-YOLOE, YOLOR, YOLOX, Scaled-YOLOv4, YOLOv5, DETR, Deformable DETR, DINO-5scale-R50, ViT-Adapter-B, and many other object detectors in speed and accuracy.

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#yolov7 #objectdetection #cloud

0:00 About YOLOv7
1:26 4 Steps Implementation
2:10 Downloading Project
2:46 Google Colab
3:26 Setting up Dependencies
6:12 Inference on single image
7:20 Inference on video
9:30 Inference on webcam
10:38 Summary
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Want to Learn YOLOv7 and solve real-world problems?

Augmented_AI
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Wow, thank you for publishing this video!

i_am_rajee
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Thank you very much for making this video! It was very easy to implement and it was a wonderful experience of learning something new! I really appreciate your efforts!😀

aryashinde
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Wow. This is really great. thanks for sharing 🙂

deepanjan
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Thanks for sharing this tutorial Ritesh!!
Best wishes from Mexico!

matematicasuniversitariasc
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Hi
Thanks much for the video. It really helped me a lot for my project

kavyaseeramsetty
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Thank you very much for your videos, they are very good! One question, YoloV7 will continue to be very fast and precise, even if there are only a few (6) objects to detect ?

rsalazar
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Hi, I am interested in the backbone of the yolov7 model, i believe it is called E-ELAN in the paper. Im trying to find the point where the image first goes into the backbone and then the output from the backbone. Any chance you would make a video of a step-by step of the code flow? or hint of how i can do it mayself?

azjargalnaranbaatar
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THANK U OH MY GOD. U REALLY SAVE MY LIFE

IOOOFatihAdjiWidjanarko
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Great! Is it possiable to run this in raspberry PI 3 ?

jackyhuang
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Can you please zoom in a bit from the next time?
Its really hard for us users to read your large monitor on our small screens : (

pathikghugare
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Hello, you made an error. I test your code and when you use non_max_suppression, "classes" is static and set to 17. 17 correspond to "horses".
Your code permit to detect only horse. Please change classes=[17] by classes=classes and remove the condition "if classes:"

maximeentsi
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My output.mp4 file has not been created..
Can you acknowledge what to

abhishekbaranwal
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Thank for sharing good content. It helps a lot.
I have one doubt after lunching the webcam Frame by Frame taking time, Not going smoothly as normal video. How to over come this delay?
Please let me know any suggestions.

shaikidur
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Hello, thank you so much for the video! I'm having a problem running 1.4 Helper code for inference. It says ModuleNotFoundError: No module named 'models'. do you know how can I fix this? thank you very much!

LASZREN
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Hello, what kind of changes should be made in the code only for human detect? (in the classes part)

beyzanuryavas
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Great video! can you please zoom in the code next time it's hard to see for small screen hehe thankss

feeldulfo
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Heyy!!! The 4th part that is the web cam isn't working..Do I need to use an external Webcam or the cam in my laptop will work?
Also the error shown is name error

salehazaman
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hi, why he detect only horses? please

quentinphan
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[Beginner] I tried testing set of images for face detection using yolov7 but I am not able to figure out how bounding box and image is processed before lables.txt is made

pratyusk