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car-detection-bayes
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move image size report

This commit is contained in:
Glenn Jocher 2020-04-15 22:03:51 -07:00
parent 6566f37cdc
commit c3edf8daf4
1 changed files with 1 additions and 1 deletions
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train.py
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@ -73,7 +73,6 @@ def train():
imgsz_max //= 0.667 imgsz_max //= 0.667
grid_min, grid_max = imgsz_min // gs, imgsz_max // gs grid_min, grid_max = imgsz_min // gs, imgsz_max // gs
imgsz_min, imgsz_max = grid_min * gs, grid_max * gs imgsz_min, imgsz_max = grid_min * gs, grid_max * gs
print('Image sizes %g - %g train, %g test' % (imgsz_min, imgsz_max, imgsz_test))
img_size = imgsz_max # initialize with max size img_size = imgsz_max # initialize with max size
# Configure run # Configure run
@ -219,6 +218,7 @@ def train():
# torch.autograd.set_detect_anomaly(True) # torch.autograd.set_detect_anomaly(True)
results = (0, 0, 0, 0, 0, 0, 0) # 'P', 'R', 'mAP', 'F1', 'val GIoU', 'val Objectness', 'val Classification' results = (0, 0, 0, 0, 0, 0, 0) # 'P', 'R', 'mAP', 'F1', 'val GIoU', 'val Objectness', 'val Classification'
t0 = time.time() t0 = time.time()
print('Image sizes %g - %g train, %g test' % (imgsz_min, imgsz_max, imgsz_test))
print('Using %g dataloader workers' % nw) print('Using %g dataloader workers' % nw)
print('Starting training for %g epochs...' % epochs) print('Starting training for %g epochs...' % epochs)
for epoch in range(start_epoch, epochs): # epoch ------------------------------------------------------------------ for epoch in range(start_epoch, epochs): # epoch ------------------------------------------------------------------