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car-detection-bayes
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updates

This commit is contained in:
Glenn Jocher 2019-12-31 12:07:31 -08:00
parent 6290f9fdb7
commit 935bbfcc2b
1 changed files with 6 additions and 5 deletions
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utils/utils.py
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@ -735,7 +735,8 @@ def coco_single_class_labels(path='../coco/labels/train2014/', label_class=43):
shutil.copyfile(src=img_file, dst='new/images/' + Path(file).name.replace('txt', 'jpg')) # copy images
def kmean_anchors(path='../coco/train2017.txt', n=12, img_size=(320, 640)): # from utils.utils import *; kmean_anchors()
def kmean_anchors(path='data/coco64.txt', n=12, img_size=(320, 640)):
# from utils.utils import *; _ = kmean_anchors(n=9)
# Produces a list of target kmeans suitable for use in *.cfg files
from utils.datasets import LoadImagesAndLabels
from scipy import cluster
@ -763,10 +764,10 @@ def kmean_anchors(path='../coco/train2017.txt', n=12, img_size=(320, 640)): # f
# Measure IoUs
iou = wh_iou(torch.Tensor(wh), torch.Tensor(k))
max_iou = iou.max(1)[0] # best IoU
min_iou = iou.min(1)[0] # worst IoU
print('Best Possible Recall (BPR): %.3f' % (max_iou > 0.225).float().mean()) # BPR (best possible recall)
print('Mean anchors over threshold: %.3f' % ((iou > 0.225).float().mean() * n)) # BPR (best possible recall)
min_iou, max_iou = iou.min(1)[0], iou.max(1)[0]
for x in [0.10, 0.15, 0.20, 0.25, 0.30, 0.35]: # iou thresholds
print('%.2f iou_thr: %.3f best possible recall, %.3f anchors > thr' %
(x, (max_iou > x).float().mean(), (iou > x).float().mean() * n)) # BPR (best possible recall)
# Print
print('kmeans anchors (n=%g, img_size=%s, IoU=%.2f/%.2f/%.2f-min/mean/best): ' %