Loading nn_ds_inmem4_tmp.py +6 −4 Original line number Original line Diff line number Diff line Loading @@ -239,7 +239,8 @@ def network_fc_simple(input, arch = 0): if (i==3): if (i==3): # red border # red border grid = tf.constant([255,100,100],dtype=tf.float32,name="GRID") grid = tf.constant([0.1,-0.1,-0.1],dtype=tf.float32,name="GRID") #grid = tf.constant([255,100,100],dtype=tf.float32,name="GRID") # (325,32) # (325,32) wimg_1 = w wimg_1 = w Loading Loading @@ -268,7 +269,7 @@ def network_fc_simple(input, arch = 0): gtiles2 = tf.concat([gtiles1,tf.expand_dims(10*[grid],1)],axis=1) gtiles2 = tf.concat([gtiles1,tf.expand_dims(10*[grid],1)],axis=1) tmp2.append(gtiles2) tmp2.append(gtiles2) ts = tf.concat(tmp2,axis=2) ts = tf.concat(tmp2,axis=1) tmp1.append(ts) tmp1.append(ts) image_summary_op2 = tf.concat(tmp1,axis=0) image_summary_op2 = tf.concat(tmp1,axis=0) Loading @@ -281,8 +282,9 @@ def network_fc_simple(input, arch = 0): #tf.summary.image("wimgo1",tf.reshape(wimgo1,[1,32*(9+1),(9+1)*4, 3])) #tf.summary.image("wimgo1",tf.reshape(wimgo1,[1,32*(9+1),(9+1)*4, 3])) #tf.summary.image("wimgo2",tf.reshape(wimgo2,[1,32*(9+1),(9+1)*4, 3])) #tf.summary.image("wimgo2",tf.reshape(wimgo2,[1,32*(9+1),(9+1)*4, 3])) tf.summary.image("SWEIGTS",tf.reshape(gtiles2,[1,10,10,3])) #tf.summary.image("TILE",tf.reshape(gtiles2,[1,10,10,3])) tf.summary.image("WEIGTS",tf.reshape(image_summary_op2,[1,320,40,3])) #tf.summary.image("STRIPE",tf.reshape(ts,[1,10,40,3])) tf.summary.image("W8S",tf.reshape(image_summary_op2,[1,320,40,3])) # borders # borders #for mi in range(0,wimg_res.shape[0],10): #for mi in range(0,wimg_res.shape[0],10): Loading Loading
nn_ds_inmem4_tmp.py +6 −4 Original line number Original line Diff line number Diff line Loading @@ -239,7 +239,8 @@ def network_fc_simple(input, arch = 0): if (i==3): if (i==3): # red border # red border grid = tf.constant([255,100,100],dtype=tf.float32,name="GRID") grid = tf.constant([0.1,-0.1,-0.1],dtype=tf.float32,name="GRID") #grid = tf.constant([255,100,100],dtype=tf.float32,name="GRID") # (325,32) # (325,32) wimg_1 = w wimg_1 = w Loading Loading @@ -268,7 +269,7 @@ def network_fc_simple(input, arch = 0): gtiles2 = tf.concat([gtiles1,tf.expand_dims(10*[grid],1)],axis=1) gtiles2 = tf.concat([gtiles1,tf.expand_dims(10*[grid],1)],axis=1) tmp2.append(gtiles2) tmp2.append(gtiles2) ts = tf.concat(tmp2,axis=2) ts = tf.concat(tmp2,axis=1) tmp1.append(ts) tmp1.append(ts) image_summary_op2 = tf.concat(tmp1,axis=0) image_summary_op2 = tf.concat(tmp1,axis=0) Loading @@ -281,8 +282,9 @@ def network_fc_simple(input, arch = 0): #tf.summary.image("wimgo1",tf.reshape(wimgo1,[1,32*(9+1),(9+1)*4, 3])) #tf.summary.image("wimgo1",tf.reshape(wimgo1,[1,32*(9+1),(9+1)*4, 3])) #tf.summary.image("wimgo2",tf.reshape(wimgo2,[1,32*(9+1),(9+1)*4, 3])) #tf.summary.image("wimgo2",tf.reshape(wimgo2,[1,32*(9+1),(9+1)*4, 3])) tf.summary.image("SWEIGTS",tf.reshape(gtiles2,[1,10,10,3])) #tf.summary.image("TILE",tf.reshape(gtiles2,[1,10,10,3])) tf.summary.image("WEIGTS",tf.reshape(image_summary_op2,[1,320,40,3])) #tf.summary.image("STRIPE",tf.reshape(ts,[1,10,40,3])) tf.summary.image("W8S",tf.reshape(image_summary_op2,[1,320,40,3])) # borders # borders #for mi in range(0,wimg_res.shape[0],10): #for mi in range(0,wimg_res.shape[0],10): Loading