make visualization darker

visual_util/visualize_relevance.py

@@ -110,7 +110,7 @@ class RelevanceVisualizer():
             # rel_map = np.maximum(rel_map, score*box_map)
         rel_map_ =cm.jet(np.uint8(rel_map*255))[:,:,0:3]*255
         # im_rel_map = np.uint8(0.5*im+0.5*rel_map_)
-        im_rel_map = np.uint8(0.2*im + 0.8*np.tile(rel_map[:,:,None], [1,1,3])*im)
+        im_rel_map = np.uint8(0.0*im + 1.0*np.tile(rel_map[:,:,None], [1,1,3])*im)
         return rel_map, im_rel_map, ans, ans_score
 
     def make_gaussian(self, box, im_size):
@@ -199,8 +199,8 @@ if __name__=='__main__':
         data_dir, 
         'mscoco_val2014_annotations_with_parsed_questions.json')
 
-    exp_dir = '/home/tanmay/Code/GenVQA/Exp_Results/VQA/' + \
-              'QA_classifier_joint_pretrain_wordvec_xform/'
+    exp_dir = '/home/tanmay/Code/GenVQA/Exp_Results/models_cvpr/' + \
+              'ans_through_obj_atr_rel_bin_feats/'
 
     eval_data_json = os.path.join(
         exp_dir,