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yolov3_mask_detect's Introduction

YOLOv3-face-mask-detection

Face mask detection using YOLOv3 on Google colab

Photo

image

Video

image

Data

  1. Mask_Dataset

    put Mask_Dataset into yolo directory (/content/darknet/Mask/yolo)

  2. weights

    create weight directory, put weights into weights directory (/content/darknet/weights)

Usage

train

./darknet detector train "/content/darknet/Mask/obj.data" "/content/darknet/Mask/yolov3_mask.cfg" "/content/darknet/weights/darknet53.conv.74" -dont_show

detect photo

./darknet detect Mask/yolov3_mask.cfg weights/yolov3_mask_last.weights Mask/demo/Mask_121.jpg

detect video

./darknet detector demo /content/darknet/Mask/obj.data Mask/yolov3_mask.cfg /content/darknet/weights/yolov3_mask_last.weights -dont_show /content/darknet/Mask/demo/Mask_2.mp4 -i 0 -out_filename predictions.avi

Reference

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yolov3_mask_detect's Issues

Pre-Trained YOLOv3 Tiny PRN (~20 MB)

Thank you very much for providing the dataset and the pre-trained weights. I have re-trained the dataset with the YOLOv3 Tiny PRN architecture to achieve similar results with less performance and memory requirements.

Here you find the model & weights to download in the cansik/yolo-mask-detection repository.

question about darknet location

I think you are using two darknet.

/content/gdrive/My\ Drive/Python/darknet and ./darknet

I already know ./darknet but I don't know /content/gdrive/My\ Drive/Python/darknet

Can u tell me the answer..?

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