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WeaponDetectionYoloV5

Weapon detection model using YOLOv5 in pytorch

YOLOv5 github

Images Dataset

https://github.com/ari-dasci/OD-WeaponDetection

Data Preprocessing

Has two classes: Knife and Pistol

Images were labelled and split into Test (75%), Validation (10%) and Training set (15%)

Training the Model

Model trained using the YOLOv5 model on Google Colab

YOLOv5 repository was cloned into the cloud machine and train.py was run with the following parameters:

img 256, epochs 100, batch-size 32

Training stats

Class Images Labels P R [email protected] [email protected]:.95: 100%
all 697 799 0.92 0.839 0.91 0.618
knife 697 320 0.917 0.884 0.936 0.589
pistol 697 479 0.922 0.793 0.884 0.647

Deepstream Installation

Deepstream was installed on Jetson Nano

Detailed steps for installation

Deepstream YOLO usage

The trained .pt model was converted to .wts and .cfg file using the following:

https://github.com/marcoslucianops/DeepStream-Yolo#basic-usage

The .wts and .cfg files are moved to Jetson Nano and the model was run

Inference

knife knife

pistol

Pistol.detection.mp4

weapon-detection-yolov5's People

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