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Commit 659c950c authored by tomrink's avatar tomrink
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modules/deeplearning/cnn_cld_frac.py
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...@@ -268,16 +268,16 @@ class CNN: ...@@ -268,16 +268,16 @@ class CNN:
data_norm = [] data_norm = []
for param in data_params: for param in data_params:
idx = params.index(param) idx = params.index(param)
tmp = input_data[:, idx, y_128_2, x_128_2] tmp = input_data[:, idx, y_128, x_128]
tmp = normalize(tmp, param, mean_std_dct, add_noise=add_noise, noise_scale=noise_scale) tmp = normalize(tmp, param, mean_std_dct, add_noise=add_noise, noise_scale=noise_scale)
tmp = resample_2d_linear(x_64, y_64, tmp, t, s) # tmp = resample_2d_linear(x_64, y_64, tmp, t, s)
data_norm.append(tmp) data_norm.append(tmp)
# -------------------------- # --------------------------
param = 'refl_0_65um_nom' param = 'refl_0_65um_nom'
idx = params.index(param) idx = params.index(param)
tmp = input_data[:, idx, y_128_2, x_128_2] tmp = input_data[:, idx, y_128, x_128]
tmp = normalize(tmp, param, mean_std_dct, add_noise=add_noise, noise_scale=noise_scale) tmp = normalize(tmp, param, mean_std_dct, add_noise=add_noise, noise_scale=noise_scale)
tmp = resample_2d_linear(x_64, y_64, tmp, t, s) # tmp = resample_2d_linear(x_64, y_64, tmp, t, s)
data_norm.append(tmp) data_norm.append(tmp)
# -------- # --------
tmp = input_data[:, label_idx, y_128, x_128] tmp = input_data[:, label_idx, y_128, x_128]
......
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