Loading test_nn_feed.py +4 −6 Original line number Diff line number Diff line Loading @@ -322,22 +322,20 @@ for epoch in range(lastepoch,lastepoch+len(tlist)): #print(input_patch) #print(gt_patch) gt_patch[gt_patch==-256] = np.nan gt_patch[np.isnan(gt_patch)] = 0 #gt_patch[gt_patch==-256] = np.nan #gt_patch[np.isnan(gt_patch)] = 0 input_patch[np.isnan(input_patch)] = 0 skip_iteration = False if values[i,j,0]==-256 and values[i,j,1]==-256: print("Have to SKIP!") skip_iteration = True # if nan skip run! if np.isnan(np.sum(gt_patch)): print("GT has NaNs") skip_iteration = True if np.isnan(np.sum(input_patch)): print("Patch has NaNs") skip_iteration = True Loading Loading
test_nn_feed.py +4 −6 Original line number Diff line number Diff line Loading @@ -322,22 +322,20 @@ for epoch in range(lastepoch,lastepoch+len(tlist)): #print(input_patch) #print(gt_patch) gt_patch[gt_patch==-256] = np.nan gt_patch[np.isnan(gt_patch)] = 0 #gt_patch[gt_patch==-256] = np.nan #gt_patch[np.isnan(gt_patch)] = 0 input_patch[np.isnan(input_patch)] = 0 skip_iteration = False if values[i,j,0]==-256 and values[i,j,1]==-256: print("Have to SKIP!") skip_iteration = True # if nan skip run! if np.isnan(np.sum(gt_patch)): print("GT has NaNs") skip_iteration = True if np.isnan(np.sum(input_patch)): print("Patch has NaNs") skip_iteration = True Loading