constants_crunchy that works with new obj loss/fine_tune with decayed lr

constants_crunchy.py

@@ -5,7 +5,7 @@ def mkdir_if_not_exists(dir_name):
     if not os.path.exists(dir_name):
         os.mkdir(dir_name)
         
-experiment_name = 'obj_atr_through_none'
+experiment_name = 'obj_atr_through_none_trial'
 
 ##########################################################################
 #                    Machine Specific Paths                              #
@@ -156,7 +156,7 @@ region_eval_on = 'test' # One of {'test','train_held_out','train_subset'}
 region_model_to_eval = region_model + '-' + '7000'
 
 # Path to results
-visualize_object_predictions = False
+visualize_object_predictions = True
 
 # Path to results
 region_pred_vis_dirname = os.path.join(
@@ -253,7 +253,7 @@ answer_mil_loss_wt = 0.0
 num_regions_with_labels = 100
 
 # Answer fine tune params
-answer_fine_tune_from_iter = 29500
+answer_fine_tune_from_iter = 500
 answer_fine_tune_from = answer_model + '-' + str(answer_fine_tune_from_iter)
 
 ##########################################################################
@@ -270,7 +270,7 @@ model_accuracies_txt = os.path.join(
 
 # Answer eval params
 answer_eval_on = 'val'
-answer_model_to_eval = answer_model + '-7000'
+answer_model_to_eval = answer_model + '-1000'
 
 vqa_results_dir = os.path.join(
     answer_output_dir,