Bienqq
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car-detection-bayes
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updates

This commit is contained in:
Glenn Jocher 2019-08-23 13:31:32 +02:00
parent fd653eca8a
commit 081cd17007
1 changed files with 4 additions and 4 deletions
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train.py
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@ -250,7 +250,7 @@ def train():
imgs = F.interpolate(imgs, size=ns, mode='bilinear', align_corners=False) imgs = F.interpolate(imgs, size=ns, mode='bilinear', align_corners=False)
# Plot images with bounding boxes # Plot images with bounding boxes
if epoch == 0 and i == 0: if ni == 0:
fname = 'train_batch%g.jpg' % i fname = 'train_batch%g.jpg' % i
plot_images(imgs=imgs, targets=targets, paths=paths, fname=fname) plot_images(imgs=imgs, targets=targets, paths=paths, fname=fname)
if tb_writer: if tb_writer:
@ -284,7 +284,7 @@ def train():
loss.backward() loss.backward()
# Accumulate gradient for x batches before optimizing # Accumulate gradient for x batches before optimizing
if (i + 1) % accumulate == 0 or (i + 1) == nb: if ni % accumulate == 0:
optimizer.step() optimizer.step()
optimizer.zero_grad() optimizer.zero_grad()
@ -305,7 +305,7 @@ def train():
img_size=opt.img_size, img_size=opt.img_size,
model=model, model=model,
conf_thres=0.001 if final_epoch and epoch > 0 else 0.1, # 0.1 for speed conf_thres=0.001 if final_epoch and epoch > 0 else 0.1, # 0.1 for speed
save_json=final_epoch and 'coco.data' in data) save_json=final_epoch and epoch > 0 and 'coco.data' in data)
# Write epoch results # Write epoch results
with open('results.txt', 'a') as file: with open('results.txt', 'a') as file:
@ -366,7 +366,7 @@ if __name__ == '__main__':
parser.add_argument('--accumulate', type=int, default=2, help='batches to accumulate before optimizing') parser.add_argument('--accumulate', type=int, default=2, help='batches to accumulate before optimizing')
parser.add_argument('--cfg', type=str, default='cfg/yolov3-spp.cfg', help='cfg file path') parser.add_argument('--cfg', type=str, default='cfg/yolov3-spp.cfg', help='cfg file path')
parser.add_argument('--data', type=str, default='data/coco.data', help='*.data file path') parser.add_argument('--data', type=str, default='data/coco.data', help='*.data file path')
parser.add_argument('--multi-scale', action='store_true', help='train at (1/1.5)x - 1.5x sizes') parser.add_argument('--multi-scale', action='store_true', help='adjust (67% - 150%) img_size every 10 batches')
parser.add_argument('--img-size', type=int, default=416, help='inference size (pixels)') parser.add_argument('--img-size', type=int, default=416, help='inference size (pixels)')
parser.add_argument('--rect', action='store_true', help='rectangular training') parser.add_argument('--rect', action='store_true', help='rectangular training')
parser.add_argument('--resume', action='store_true', help='resume training from last.pt') parser.add_argument('--resume', action='store_true', help='resume training from last.pt')