Big data final project
load image noteboook is to load the images and convert the labels into yolov5 format and packed as a tar file ROI_detection_yolo_training notebook is to run the training at Azure.
Open your terminal and make a new directory named finalproject (or any other name of your choice). Switch into the directory and then clone the yolo repository from GitHub:
git clone https://github.com/ultralytics/yolov5
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copy deploy_yolo_training、Load_imgs.ipynb、ROI_detection_yolo_training.ipynb、util.py it to the folder and download the UW_Boeing_data.zip from canvas, unzip it
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conda activate yolov5 -
open load_image.ipynb run the codes upload the tar file to Azure dataset
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switch to ROI_detection_yolo_training.ipynb change to your own subscription etc..