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Distance Detector (People) with Yolov7

License: Apache License 2.0

Python 1.29% Shell 0.01% Jupyter Notebook 98.70% Dockerfile 0.01%

distance-detection distance-measures object-counting object-detection object-recognition yolov7 artificial-intelligence computer-vision deep-learning machine-learning

yolov7-object-counter-v1.2's Introduction

Yolov7-Close-People-CounterV1.2

Track Counter:

YOLOV7_Object_Counter_Trim21_Trim.mp4

Social Distance with Yolov7

Count all objetcs by classes and works perfetcly on every image or on a video
Code can run on Both (CPU & GPU)
Video/WebCam/External Camera/IP Stream Supported

Sample Videos:

https://www.youtube.com/watch?v=nB8L54-ejgQ

https://www.youtube.com/watch?v=vANr6aC7QOY

Ready-To-Use Google Colab:

https://colab.research.google.com/drive/1URG1BruRkVQawZGqCJ1ibV_SeYhEBdKd?usp=sharing

How to run Code:

clone the repository:
!git clone https://github.com/DoganK01/YOLOV7-OBJECT-COUNTER-V1.2.git
cd /content/YOLOV7-OBJECT-COUNTER-V1.2

Upgrade pip with the mentioned command below.

pip install --upgrade pip

Install requirements

!pip install -r requirements.txt

Weights get

%%bash
wget -P /content/YOLOV7-OBJECT-COUNTER-V1.2/weights https://github.com/WongKinYiu/yolov7/releases/download/v0.1/yolov7.pt
wget -P /content/YOLOV7-OBJECT-COUNTER-V1.2/weights https://github.com/WongKinYiu/yolov7/releases/download/v0.1/yolov7x.pt
wget -P /content/YOLOV7-OBJECT-COUNTER-V1.2/weights https://github.com/WongKinYiu/yolov7/releases/download/v0.1/yolov7-w6.pt
wget -P /content/YOLOV7-OBJECT-COUNTER-V1.2/weights https://github.com/WongKinYiu/yolov7/releases/download/v0.1/yolov7-e6.pt
wget -P /content/YOLOV7-OBJECT-COUNTER-V1.2/weights https://github.com/WongKinYiu/yolov7/releases/download/v0.1/yolov7-d6.pt
wget -P /content/YOLOV7-OBJECT-COUNTER-V1.2/weights https://github.com/WongKinYiu/yolov7/releases/download/v0.1/yolov7-e6e.pt
NOTE: You can use any of these. If one doesn't work, try the other.

Upgrade pyyaml

!pip install --upgrade pyyaml==5.3.1

Using Codes:

For Close People with Red Lines:
!python detect.py --weights /content/Yolov7-Close-People-Counter/weights/yolov7x.pt --source /content/Yolov7-Close-People-Counter/inference/images/bus.jpg --no-trace
For Close People "Counter":
!python counter.py --weights /content/Yolov7-Close-People-Counter/weights/yolov7x.pt --source /content/Yolov7-Close-People-Counter/inference/images/bus.jpg --no-trace
For Object Counter:
!python detect_and_count.py --weights /content/Yolov7-Close-People-Counter/weights/yolov7x.pt --source /content/Yolov7-Close-People-Counter/inference/images/bus.jpg --no-trace

Results

Test.23._Trim.mp4

Test.21._Trim2.mp4

Real-ESRGAN

Saving people who break the social distance by increasing the resolution from real-video: (Real-ESRGAN):

Rec.0005.mp4

References

yolov7-object-counter-v1.2's People

Contributors

Stargazers

Watchers

yolov7-object-counter-v1.2's Issues

detect.py

On the arg classes if I am just after people only, would it make my platform run faster? Its a bit lagy but it works really well just curious if it would speed things up at all?

weapons on detect.py

Is it possible to add in weapons to the model? Or would one of the models do weapons? I downloaded 4 images from a Google search:

py detect.py --weights /content/Yolov7-Close-People-Counter/weights/yolov7x.pt --source C:\Users\Administrator\Desktop\YOLOV7-OBJECT-COUNTER-V1.2\inference\images\gun1.PNG --no-trace

detect.py inference

when you run inference on detect.py what information is returned on the model output?

I know its just an array of data but what all is contained in that array? Hopefully that makes sense.....am trying to connect the dots on how the bounding boxes are drawn around multiple images in one picture.

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