Bienqq
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car-detection-bayes
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updates

This commit is contained in:
Glenn Jocher 2019-08-24 21:39:25 +02:00
parent 1064c37600
commit 70be0d5d14
2 changed files with 2 additions and 2 deletions
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2
train.py
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@ -330,7 +330,7 @@ def train():
# Report time # Report time
plot_results() # save as results.png plot_results() # save as results.png
print('%g epochs completed in %.3f hours.' % (epoch - start_epoch + 1, (time.time() - t0) / 3600)) print('%g epochs completed in %.3f hours.\n' % (epoch - start_epoch + 1, (time.time() - t0) / 3600))
dist.destroy_process_group() if torch.cuda.device_count() > 1 else None dist.destroy_process_group() if torch.cuda.device_count() > 1 else None
torch.cuda.empty_cache() torch.cuda.empty_cache()
return results return results

2
utils/utils.py
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@ -555,7 +555,7 @@ def get_yolo_layers(model):
def print_model_biases(model): def print_model_biases(model):
# prints the bias neurons preceding each yolo layer # prints the bias neurons preceding each yolo layer
print('\nModel Output-Bias Summary::') print('\nModel output-bias Summary:')
for l in model.yolo_layers: # print pretrained biases for l in model.yolo_layers: # print pretrained biases
b = model.module_list[l - 1][0].bias.view(3, -1) # bias 3x85 b = model.module_list[l - 1][0].bias.view(3, -1) # bias 3x85
print('regression: %.2f+/-%.2f, ' % (b[:, :4].mean(), b[:, :4].std()), print('regression: %.2f+/-%.2f, ' % (b[:, :4].mean(), b[:, :4].std()),