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Commit 3b64c0c1 authored by tomrink's avatar tomrink
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modules/deeplearning/srcnn_l1b_l2.py
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...@@ -718,12 +718,14 @@ def run_evaluate_static(in_file, out_file, ckpt_dir): ...@@ -718,12 +718,14 @@ def run_evaluate_static(in_file, out_file, ckpt_dir):
grd_a = get_grid_values_all(h5f, 'temp_11_0um_nom') grd_a = get_grid_values_all(h5f, 'temp_11_0um_nom')
grd_a = grd_a[y_0:y_0+sub_y, x_0:x_0+sub_x] grd_a = grd_a[y_0:y_0+sub_y, x_0:x_0+sub_x]
grd_a = grd_a[slc_y_2, slc_x_2] grd_a = grd_a[slc_y_2, slc_x_2]
bt = grd_a
grd_a = normalize(grd_a, 'temp_11_0um_nom', mean_std_dct) grd_a = normalize(grd_a, 'temp_11_0um_nom', mean_std_dct)
grd_a = resample_2d_linear_one(x_2, y_2, grd_a, t, s) grd_a = resample_2d_linear_one(x_2, y_2, grd_a, t, s)
grd_b = get_grid_values_all(h5f, 'refl_0_65um_nom') grd_b = get_grid_values_all(h5f, 'refl_0_65um_nom')
grd_b = grd_b[y_0:y_0+sub_y, x_0:x_0+sub_x] grd_b = grd_b[y_0:y_0+sub_y, x_0:x_0+sub_x]
grd_b = grd_b[slc_y_2, slc_x_2] grd_b = grd_b[slc_y_2, slc_x_2]
refl = grd_b
grd_b = normalize(grd_b, 'refl_0_65um_nom', mean_std_dct) grd_b = normalize(grd_b, 'refl_0_65um_nom', mean_std_dct)
grd_b = resample_2d_linear_one(x_2, y_2, grd_b, t, s) grd_b = resample_2d_linear_one(x_2, y_2, grd_b, t, s)
...@@ -744,7 +746,7 @@ def run_evaluate_static(in_file, out_file, ckpt_dir): ...@@ -744,7 +746,7 @@ def run_evaluate_static(in_file, out_file, ckpt_dir):
if out_file is not None: if out_file is not None:
np.save(out_file, out_sr) np.save(out_file, out_sr)
else: else:
return out_sr return out_sr, bt, refl
def run_evaluate_static_2(in_file, out_file, ckpt_dir): def run_evaluate_static_2(in_file, out_file, ckpt_dir):
......
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