more versions, adding more images in the results plot

explore_data15.py

@@ -1755,7 +1755,7 @@ if __name__ == "__main__":
     test_corrs = []
 #1527257933_150165-ML_DATA-32B-O-FZ0.05-MAIN-RND2.00000.tiff  
 #/home/eyesis/x3d_data/data_sets/test_mlr32_18a/1527257933_150165/v04/mlr32_18c/1527257933_150165-ML_DATA-32B-O-FZ0.05-MAIN.tiff
-
+    '''
     test_sets = [
     "/data_ssd/lwir_sets/lwir_test2/1562390202_933097/v01/ml32", # andrey /empty
     "/data_ssd/lwir_sets/lwir_test2/1562390225_269784/v01/ml32", # andrey /empty
@@ -1777,8 +1777,19 @@ if __name__ == "__main__":
     "/data_ssd/lwir_sets/lwir_test3/1562390409_661607/v01/ml32", # lena, 2 far moving cars
     "/data_ssd/lwir_sets/lwir_test3/1562390435_873048/v01/ml32", # 2 parked cars, lena
     "/data_ssd/lwir_sets/lwir_test3/1562390456_842237/v01/ml32", # near trees
-    "/data_ssd/lwir_sets/lwir_test3/1562390460_261151/v01/ml32"] # near trees, olga
-
+    "/data_ssd/lwir_sets/lwir_test3/1562390460_261151/v01/ml32",  # near trees, olga
+    ]
+    '''
+    
+    test_sets = [
+    "/data_ssd/lwir_sets/lwir_test6/1562390317_693673/v01/ml32", # andrey + olga
+    "/data_ssd/lwir_sets/lwir_test6/1562390318_833313/v01/ml32", # andrey + olga 
+    "/data_ssd/lwir_sets/lwir_test6/1562390326_354823/v01/ml32", # andrey + olga
+    "/data_ssd/lwir_sets/lwir_test6/1562390331_483132/v01/ml32", # andrey + olga
+    "/data_ssd/lwir_sets/lwir_test6/1562390333_192523/v01/ml32", # lena
+    ]
+    
+    
     #Parameters to generate neighbors data. Set radius to 0 to generate single-tile
     TEST_SAME_LENGTH_AS_TRAIN = False # True # make test to have same number of entries as train ones
     FIXED_TEST_LENGTH =  102 # None # put number of test scenes to output (used when making test only from few or single test file     

explore_data16.py

@@ -1657,27 +1657,28 @@ if __name__ == "__main__":
     test_corrs = []
 
     test_sets = [
-    "/data_ssd/lwir_sets/lwir_test2/1562390202_933097/v01/ml32", # andrey /empty
-    "/data_ssd/lwir_sets/lwir_test2/1562390225_269784/v01/ml32", # andrey /empty
-    "/data_ssd/lwir_sets/lwir_test2/1562390225_839538/v01/ml32", # andrey /empty
-    "/data_ssd/lwir_sets/lwir_test2/1562390243_047919/v01/ml32", # 2 trees
-    "/data_ssd/lwir_sets/lwir_test2/1562390251_025390/v01/ml32", # empty space
-    "/data_ssd/lwir_sets/lwir_test2/1562390257_977146/v01/ml32", # first 3
-    "/data_ssd/lwir_sets/lwir_test2/1562390260_370347/v01/ml32", # all 3
-    "/data_ssd/lwir_sets/lwir_test2/1562390260_940102/v01/ml32", # all 3
+    "/data_ssd/lwir_sets/lwir_test2/1562390202_933097/v01/ml32b", # andrey /empty
+    "/data_ssd/lwir_sets/lwir_test2/1562390225_269784/v01/ml32b", # andrey /empty
+    "/data_ssd/lwir_sets/lwir_test2/1562390225_839538/v01/ml32b", # andrey /empty
+    "/data_ssd/lwir_sets/lwir_test2/1562390243_047919/v01/ml32b", # 2 trees
     
-    "/data_ssd/lwir_sets/lwir_test6/1562390317_693673/v01/ml32", # andrey + olga
-    "/data_ssd/lwir_sets/lwir_test6/1562390318_833313/v01/ml32", # andrey + olga 
-    "/data_ssd/lwir_sets/lwir_test6/1562390326_354823/v01/ml32", # andrey + olga
-    "/data_ssd/lwir_sets/lwir_test6/1562390331_483132/v01/ml32", # andrey + olga
-    "/data_ssd/lwir_sets/lwir_test6/1562390333_192523/v01/ml32", # lena
+    "/data_ssd/lwir_sets/lwir_test6/1562390251_025390/v01/ml32b", # empty space
+    "/data_ssd/lwir_sets/lwir_test6/1562390257_977146/v01/ml32b", # first 3
+    "/data_ssd/lwir_sets/lwir_test6/1562390260_370347/v01/ml32b", # all 3
+    "/data_ssd/lwir_sets/lwir_test2/1562390260_940102/v01/ml32b", # all 3
     
-    "/data_ssd/lwir_sets/lwir_test3/1562390402_254007/v01/ml32", # near moving car
-    "/data_ssd/lwir_sets/lwir_test3/1562390407_382326/v01/ml32", # near moving car
-    "/data_ssd/lwir_sets/lwir_test3/1562390409_661607/v01/ml32", # lena, 2 far moving cars
-    "/data_ssd/lwir_sets/lwir_test3/1562390435_873048/v01/ml32", # 2 parked cars, lena
-    "/data_ssd/lwir_sets/lwir_test3/1562390456_842237/v01/ml32", # near trees
-    "/data_ssd/lwir_sets/lwir_test3/1562390460_261151/v01/ml32"] # near trees, olga
+    "/data_ssd/lwir_sets/lwir_test6/1562390317_693673/v01/ml32",  # andrey + olga
+    "/data_ssd/lwir_sets/lwir_test6/1562390318_833313/v01/ml32",  # andrey + olga 
+    "/data_ssd/lwir_sets/lwir_test6/1562390326_354823/v01/ml32",  # andrey + olga
+    "/data_ssd/lwir_sets/lwir_test6/1562390331_483132/v01/ml32",  # andrey + olga
+    "/data_ssd/lwir_sets/lwir_test6/1562390333_192523/v01/ml32",  # lena
+    
+    "/data_ssd/lwir_sets/lwir_test6/1562390402_254007/v01/ml32b", # near moving car
+    "/data_ssd/lwir_sets/lwir_test6/1562390407_382326/v01/ml32b", # near moving car
+    "/data_ssd/lwir_sets/lwir_test6/1562390409_661607/v01/ml32b", # lena, 2 far moving cars
+    "/data_ssd/lwir_sets/lwir_test6/1562390435_873048/v01/ml32b", # 2 parked cars, lena
+    "/data_ssd/lwir_sets/lwir_test6/1562390456_842237/v01/ml32b", # near trees
+    "/data_ssd/lwir_sets/lwir_test6/1562390460_261151/v01/ml32b"] # near trees, olga
 
     #Parameters to generate neighbors data. Set radius to 0 to generate single-tile
     TEST_SAME_LENGTH_AS_TRAIN = False # True # make test to have same number of entries as train ones

nn_ds_neibs31.py

@@ -3,7 +3,7 @@ __copyright__ = "Copyright 2018-2019, Elphel, Inc."
 __license__   = "GPL-3.0+"
 __email__     = "andrey@elphel.com"
 
-#python3 nn_ds_neibs31.py /data_ssd/lwir_sets/conf/qcstereo_lwir05.xml /data_ssd/lwir_sets/
+#python3 nn_ds_neibs31.py /data_ssd/lwir_sets/conf/qcstereo_lwir21.xml /data_ssd/lwir_sets/
 #tensorboard --logdir="nn_ds_neibs30_graph13-9RNSWLAM0.5SLAM0.1SCLP0.2_nG_nI_HF_CP0.3_S0.03" --port=7001
 
 import os

qcstereo_network.py

@@ -110,21 +110,21 @@ def network_sub(input_tensor,
                         fc_sym.append(slim.fully_connected(inp8[j],    num_sym8, activation_fn=lrelu, scope= scp,     reuse = reuse_this))
                         if not reuse_this:
                             with tf.compat.v1.variable_scope(scp,reuse=True) : # tf.AUTO_REUSE):
-                                inp_weights.append(tf.get_variable('weights')) # ,shape=[inp.shape[1],num_outs])) 
+                                inp_weights.append(tf.compat.v1.get_variable('weights')) # ,shape=[inp.shape[1],num_outs])) 
                     if num_non_sum > 0:
                         reuse_this = reuse
                         scp = 'g_fc_sub'+str(i)+"r"
                         fc_sym.append(slim.fully_connected(inp,     num_non_sum, activation_fn=lrelu, scope=scp, reuse = reuse_this))    
                         if not reuse_this:
                             with tf.compat.v1.variable_scope(scp,reuse=True) : # tf.AUTO_REUSE):
-                                inp_weights.append(tf.get_variable('weights')) # ,shape=[inp.shape[1],num_outs])) 
+                                inp_weights.append(tf.compat.v1.get_variable('weights')) # ,shape=[inp.shape[1],num_outs])) 
                     fc.append(tf.concat(fc_sym, 1, name='sym_input_layer'))
                 else:
                     scp = 'g_fc_sub'+str(i)
                     fc.append(slim.fully_connected(inp,    num_outs, activation_fn=lrelu, scope= scp, reuse = reuse))
                     if not reuse:
                         with tf.compat.v1.variable_scope(scp, reuse=True) : # tf.AUTO_REUSE):
-                            inp_weights.append(tf.get_variable('weights')) # ,shape=[inp.shape[1],num_outs])) 
+                            inp_weights.append(tf.compat.v1.get_variable('weights')) # ,shape=[inp.shape[1],num_outs])) 
            
     return fc[-1], inp_weights