#!/usr/bin/env bash # New VM rm -rf yolov3 weights coco git clone https://github.com/ultralytics/yolov3 bash yolov3/weights/download_yolov3_weights.sh && cp -r weights yolov3 bash yolov3/data/get_coco_dataset.sh git clone https://github.com/cocodataset/cocoapi && cd cocoapi/PythonAPI && make && cd ../.. && cp -r cocoapi/PythonAPI/pycocotools yolov3 sudo shutdown # Re-clone rm -rf yolov3 # Warning: remove existing git clone https://github.com/ultralytics/yolov3 # master # git clone -b test --depth 1 https://github.com/ultralytics/yolov3 test # branch cp -r cocoapi/PythonAPI/pycocotools yolov3 cp -r weights yolov3 && cd yolov3 # Train python3 train.py # Resume python3 train.py --resume # Detect python3 detect.py # Test python3 test.py --save-json # Git pull git pull https://github.com/ultralytics/yolov3 # master git pull https://github.com/ultralytics/yolov3 test # branch # Test Darknet training python3 test.py --weights ../darknet/backup/yolov3.backup # Copy latest.pt TO bucket gsutil cp yolov3/weights/latest1gpu.pt gs://ultralytics # Copy latest.pt FROM bucket gsutil cp gs://ultralytics/latest.pt yolov3/weights/latest.pt wget https://storage.googleapis.com/ultralytics/yolov3/latest_v1_0.pt -O weights/latest_v1_0.pt wget https://storage.googleapis.com/ultralytics/yolov3/best_v1_0.pt -O weights/best_v1_0.pt # Reproduce tutorials rm results*.txt # WARNING: removes existing results python3 train.py --nosave --data data/coco_1img.data && mv results.txt results0r_1img.txt python3 train.py --nosave --data data/coco_10img.data && mv results.txt results0r_10img.txt python3 train.py --nosave --data data/coco_100img.data && mv results.txt results0r_100img.txt #python3 train.py --nosave --data data/coco_100img.data --transfer && mv results.txt results3_100imgTL.txt python3 -c "from utils import utils; utils.plot_results()" gsutil cp results*.txt gs://ultralytics gsutil cp results.png gs://ultralytics sudo shutdown # Reproduce mAP python3 test.py --save-json --img-size 608 python3 test.py --save-json --img-size 416 python3 test.py --save-json --img-size 320 sudo shutdown # Unit tests python3 detect.py # detect 2 persons, 1 tie python3 test.py --data data/coco_32img.data # test mAP = 0.8 python3 train.py --data data/coco_32img.data --epochs 5 --nosave # train 5 epochs python3 train.py --data data/coco_1cls.data --epochs 5 --nosave # train 5 epochs python3 train.py --data data/coco_1img.data --epochs 5 --nosave # train 5 epochs # AlexyAB Darknet ./darknet detector train ../supermarket2/supermarket2.data cfg/yolov3-spp-sm2.cfg darknet53.conv.74 # train ./darknet detector train ../supermarket2/supermarket2.data cfg/yolov3-spp.cfg backup/yolov3-spp_last.weights # resume python3 test.py --data ../supermarket2/supermarket2.data --weights ../darknet/backup yolov3-spp_3000.weights # test # Debug/Development python3 train.py --evolve --data data/coco_1k5k.data --epochs 30 --img-size 320 gsutil cp evolve.txt gs://ultralytics sudo shutdown