From d1a08abcb52434a42915a0cceb2a1bea7b28793a Mon Sep 17 00:00:00 2001
From: tomrink <rink@ssec.wisc.edu>
Date: Tue, 9 May 2023 11:24:15 -0500
Subject: [PATCH] snapshot...
---
.../deeplearning/cloud_fraction_fcn_abi.py | 35 +++----------------
1 file changed, 4 insertions(+), 31 deletions(-)
diff --git a/modules/deeplearning/cloud_fraction_fcn_abi.py b/modules/deeplearning/cloud_fraction_fcn_abi.py
index 4dc56d72..9b535ca3 100644
--- a/modules/deeplearning/cloud_fraction_fcn_abi.py
+++ b/modules/deeplearning/cloud_fraction_fcn_abi.py
@@ -71,25 +71,13 @@ print('data_params_full: ', data_params_full)
print('label_param: ', label_param)
KERNEL_SIZE = 3
-N_X = N_Y = 1
X_LEN = Y_LEN = 64
if KERNEL_SIZE == 3:
- slc_x = slice(0, int((N_X*X_LEN)/4) + 2)
- slc_y = slice(0, int((N_Y*Y_LEN)/4) + 2)
- x_64 = slice(4, N_X*X_LEN + 4)
- y_64 = slice(4, N_Y*Y_LEN + 4)
-# elif KERNEL_SIZE == 5: These no longer apply here
-# slc_x = slice(3, 135)
-# slc_y = slice(3, 135)
-# slc_x_2 = slice(2, 137, 2)
-# slc_y_2 = slice(2, 137, 2)
-# x_128 = slice(5, 133)
-# y_128 = slice(5, 133)
-# t = np.arange(1, 67, 0.5)
-# s = np.arange(1, 67, 0.5)
-# x_2 = np.arange(68)
-# y_2 = np.arange(68)
+ slc_x = slice(0, int(X_LEN/4) + 2)
+ slc_y = slice(0, int(Y_LEN/4) + 2)
+ x_64 = slice(4, X_LEN + 4)
+ y_64 = slice(4, Y_LEN + 4)
# ----------------------------------------
@@ -342,21 +330,6 @@ class SRCNN:
tmp = normalize(tmp, 'refl_0_65um_nom', mean_std_dct)
data_norm.append(tmp)
- # for param in data_params_full:
- # idx = params_i.index(param)
- # tmp = input_label[:, idx, :, :]
- #
- # lo, hi, std, avg = get_min_max_std(tmp)
- # lo = normalize(lo, param, mean_std_dct)
- # hi = normalize(hi, param, mean_std_dct)
- # # avg = normalize(avg, param, mean_std_dct)
- #
- # data_norm.append(lo[:, slc_y, slc_x])
- # data_norm.append(hi[:, slc_y, slc_x])
- # data_norm.append(std[:, slc_y, slc_x])
- # ---------------------------------------------------
- # If next uncommented, take out get_grid_cell_mean
- # tmp = input_data[:, label_idx, :, :]
tmp = input_label[:, label_idx_i, :, :]
tmp = get_grid_cell_mean(tmp)
tmp = tmp[:, slc_y, slc_x]
--
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