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Commit 2af4fb2e authored by tomrink's avatar tomrink
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...@@ -763,11 +763,11 @@ class SRCNN: ...@@ -763,11 +763,11 @@ class SRCNN:
preds = np.concatenate(self.test_preds) preds = np.concatenate(self.test_preds)
print(labels.shape, preds.shape) print(labels.shape, preds.shape)
if label_param != 'cloud_probability': # if label_param != 'cloud_probability':
labels_denorm = denormalize(labels, label_param, mean_std_dct) # labels_denorm = denormalize(labels, label_param, mean_std_dct)
preds_denorm = denormalize(preds, label_param, mean_std_dct) # preds_denorm = denormalize(preds, label_param, mean_std_dct)
return labels_denorm, preds_denorm return labels, preds
def do_evaluate(self, data, ckpt_dir): def do_evaluate(self, data, ckpt_dir):
...@@ -815,9 +815,10 @@ class SRCNN: ...@@ -815,9 +815,10 @@ class SRCNN:
def run_restore_static(directory, ckpt_dir, out_file=None): def run_restore_static(directory, ckpt_dir, out_file=None):
nn = SRCNN() nn = SRCNN()
labels_denorm, preds_denorm = nn.run_restore(directory, ckpt_dir) labels, preds = nn.run_restore(directory, ckpt_dir)
if out_file is not None: if out_file is not None:
np.save(out_file, [np.squeeze(labels_denorm), preds_denorm.argmax(axis=3)]) np.save(out_file,
[np.squeeze(labels), preds.argmax(axis=3), preds[:, :, :, 0], preds[:, :, :, 1], preds[:, :, :, 2]])
def run_evaluate_static(in_file, out_file, ckpt_dir): def run_evaluate_static(in_file, out_file, ckpt_dir):
......
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