Update test.py

test.py

@@ -19,7 +19,6 @@ import json
 
 test_images_path = os.getenv("AICROWD_TEST_IMAGES_PATH", False)
 predictions_output_path = os.getenv("AICROWD_PREDICTIONS_OUTPUT_PATH", False)
-print(predictions_output_path)
 
 
 
@@ -417,7 +416,6 @@ def single_gpu_test(model, data_loader, show=False):
         with torch.no_grad():
             result = model(return_loss=False, rescale=not show, **data)
         results.append(result)
-        print("one image done")
         if show:
             model.module.show_result(data, result)
 
@@ -522,7 +520,6 @@ def parse_args():
 
 
 def main():
-    print("I am here")
     args = parse_args()
 
     assert args.out or args.show or args.json_out, \
@@ -601,15 +598,11 @@ def main():
                         coco_eval(result_files, eval_types, dataset.coco)
     print(args.json_out, rank)
     if outputs and args.json_out and rank == 0:
-        print("inside json_out")
         print(outputs)
         if not isinstance(outputs[0], dict):
-            print("inside is instance")
             response = results2json(dataset, outputs, args.json_out)
         else:
-            print("inside the else")
             for name in outputs[0]:
-                print("inside the output folder")
                 outputs_ = [out[name] for out in outputs]
                 result_file = args.json_out + '.{}'.format(name)
                 response = results2json(dataset, outputs_, result_file)