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car-detection-bayes
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updates

This commit is contained in:
Glenn Jocher 2019-05-23 12:27:46 +02:00
parent 463dc56f31
commit e67cee4a0c
2 changed files with 11 additions and 11 deletions
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20
train.py
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@ -11,15 +11,15 @@ from utils.datasets import *
from utils.utils import *
# Hyperparameters: train.py --evolve --epochs 2 --img-size 320, Metrics: 0.204 0.302 0.175 0.234 (square smart)
hyp = {'xy': 0.167, # xy loss gain
'wh': 0.09339, # wh loss gain
'cls': 0.03868, # cls loss gain
'conf': 4.546, # conf loss gain
'iou_t': 0.2454, # iou target-anchor training threshold
'lr0': 0.000198, # initial learning rate
'lrf': -5., # final learning rate = lr0 * (10 ** lrf)
'momentum': 0.95, # SGD momentum
'weight_decay': 0.0007838} # optimizer weight decay
hyp = {'xy': 0.2, # xy loss gain
'wh': 0.1, # wh loss gain
'cls': 0.04, # cls loss gain
'conf': 4.5, # conf loss gain
'iou_t': 0.5, # iou target-anchor training threshold
'lr0': 0.001, # initial learning rate
'lrf': -4., # final learning rate = lr0 * (10 ** lrf)
'momentum': 0.90, # SGD momentum
'weight_decay': 0.0005} # optimizer weight decay
# Hyperparameters: Original, Metrics: 0.172 0.304 0.156 0.205 (square)
@ -310,7 +310,7 @@ if __name__ == '__main__':
parser.add_argument('--cfg', type=str, default='cfg/yolov3-spp.cfg', help='cfg file path')
parser.add_argument('--data-cfg', type=str, default='data/coco_32img.data', help='coco.data file path')
parser.add_argument('--multi-scale', action='store_true', help='random image sizes per batch 320 - 608')
parser.add_argument('--img-size', type=int, default=320, help='inference size (pixels)')
parser.add_argument('--img-size', type=int, default=416, help='inference size (pixels)')
parser.add_argument('--resume', action='store_true', help='resume training flag')
parser.add_argument('--transfer', action='store_true', help='transfer learning flag')
parser.add_argument('--num-workers', type=int, default=4, help='number of Pytorch DataLoader workers')

2
utils/gcp.sh
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@ -71,7 +71,7 @@ gsutil cp -r gs://sm4/supermarket2 . # dataset from bucket
rm -rf darknet && git clone https://github.com/AlexeyAB/darknet && cd darknet && wget -c https://pjreddie.com/media/files/darknet53.conv.74 # sudo apt install libopencv-dev && make
./darknet detector train ../supermarket2/supermarket2.data cfg/yolov3-spp-sm2-1cls.cfg darknet53.conv.74 -map -dont_show # train
./darknet detector train ../supermarket2/supermarket2.data cfg/yolov3-spp-sm2-1cls.cfg backup/yolov3-spp-sm2-1cls_last.weights # resume
python3 train.py --data ../supermarket2/supermarket2.data --cfg cfg/yolov3-spp-sm2-1cls.cfg # test
python3 train.py --data ../supermarket2/supermarket2.data --cfg cfg/yolov3-spp-sm2-1cls.cfg --epochs 100 --num-workers 8 --img-size 320 --nosave # train ultralytics
python3 test.py --data ../supermarket2/supermarket2.data --weights ../darknet/backup/yolov3-spp-sm2-1cls_5000.weights --cfg cfg/yolov3-spp-sm2-1cls.cfg # test
gsutil cp -r backup/*.weights gs://sm4/weights # weights to bucket