Bienqq
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car-detection-bayes
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updates

This commit is contained in:
Glenn Jocher 2019-04-17 17:42:17 +02:00
parent 4107315afe
commit bf966d177f
1 changed files with 4 additions and 4 deletions
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8
train.py
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@ -113,7 +113,7 @@ def train(
# Dataloader
dataloader = DataLoader(dataset,
batch_size=batch_size,
num_workers=num_workers,
num_workers=0,
shuffle=True,
pin_memory=True,
collate_fn=dataset.collate_fn,
@ -198,8 +198,8 @@ def train(
dataset.img_size = random.choice(range(10, 20)) * 32
print('multi_scale img_size = %g' % dataset.img_size)
# Calculate mAP
if not (opt.notest or (opt.nosave and epoch < 2)) or epoch == epochs - 1: # always test final epoch
# Calculate mAP (always test final epoch, skip first 5 if opt.nosave)
if not (opt.notest or (opt.nosave and epoch < 5)) or epoch == epochs - 1:
with torch.no_grad():
results = test.test(cfg, data_cfg, batch_size=batch_size, img_size=img_size, model=model,
conf_thres=0.1)
@ -246,7 +246,7 @@ if __name__ == '__main__':
parser.add_argument('--batch-size', type=int, default=16, help='size of each image batch')
parser.add_argument('--accumulate', type=int, default=1, help='accumulate gradient x batches 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.data', help='coco.data file path')
parser.add_argument('--data-cfg', type=str, default='data/coco_1img.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=416, help='pixels')
parser.add_argument('--resume', action='store_true', help='resume training flag')