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car-detection-bayes
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updates

This commit is contained in:
Glenn Jocher 2019-06-21 11:57:26 +02:00
parent 3223c0171a
commit 1a9aa30efc
1 changed files with 5 additions and 3 deletions
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8
train.py
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@ -253,6 +253,10 @@ def train(
t = time.time()
print(s)
# Report time
dt = (time.time() - t0) / 3600
print('%g epochs completed in %.3f hours.' % (epoch - start_epoch + 1, dt))
# Calculate mAP (always test final epoch, skip first 5 if opt.nosave)
if not (opt.notest or (opt.nosave and epoch < 10)) or epoch == epochs - 1:
with torch.no_grad():
@ -292,8 +296,6 @@ def train(
# Delete checkpoint
del chkpt
dt = (time.time() - t0) / 3600
print('%g epochs completed in %.3f hours.' % (epoch - start_epoch + 1, dt))
return results
@ -313,7 +315,7 @@ if __name__ == '__main__':
parser.add_argument('--batch-size', type=int, default=8, help='batch size')
parser.add_argument('--accumulate', type=int, default=8, help='number of batches to accumulate before optimizing')
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_64img.data', help='coco.data file path')
parser.add_argument('--data-cfg', type=str, default='data/coco_1000img.data', help='coco.data file path')
parser.add_argument('--single-scale', action='store_true', help='train at fixed size (no multi-scale)')
parser.add_argument('--img-size', type=int, default=416, help='inference size (pixels)')
parser.add_argument('--resume', action='store_true', help='resume training flag')