@ -190,9 +190,11 @@ def _predict_one_epoch(dataset: tf.data.Dataset,
|
|||||||
for _ in range(forward_passes_per_image):
|
for _ in range(forward_passes_per_image):
|
||||||
result = np.array(ssd(inputs))
|
result = np.array(ssd(inputs))
|
||||||
decoded_predictions_batch.append(result)
|
decoded_predictions_batch.append(result)
|
||||||
|
del result
|
||||||
else:
|
else:
|
||||||
result = np.array(ssd(inputs))
|
result = np.array(ssd(inputs))
|
||||||
decoded_predictions_batch.append(result)
|
decoded_predictions_batch.append(result)
|
||||||
|
del result
|
||||||
|
|
||||||
# save predictions batch-wise to prevent memory problems
|
# save predictions batch-wise to prevent memory problems
|
||||||
if nr_digits is not None:
|
if nr_digits is not None:
|
||||||
@ -203,6 +205,7 @@ def _predict_one_epoch(dataset: tf.data.Dataset,
|
|||||||
|
|
||||||
with open(filename, 'wb') as file:
|
with open(filename, 'wb') as file:
|
||||||
decoded_predictions_batch_np = np.array(decoded_predictions_batch)
|
decoded_predictions_batch_np = np.array(decoded_predictions_batch)
|
||||||
|
del decoded_predictions_batch
|
||||||
np.save(file, decoded_predictions_batch_np, allow_pickle=False, fix_imports=False)
|
np.save(file, decoded_predictions_batch_np, allow_pickle=False, fix_imports=False)
|
||||||
|
|
||||||
counter += 1
|
counter += 1
|
||||||
|
|||||||
Reference in New Issue
Block a user