From 7b569874e5db3ec9d4028ef6ceb68db970bd6df6 Mon Sep 17 00:00:00 2001
From: nikhil_rayaprolu <nikhil684@gmail.com>
Date: Fri, 3 Apr 2020 18:21:44 +0000
Subject: [PATCH] Update test.py
---
test.py | 7 -------
1 file changed, 7 deletions(-)
diff --git a/test.py b/test.py
index 5a88683..6d1e87f 100644
--- a/test.py
+++ b/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)
--
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