add niqe calcu and update readme info

README.md

@@ -316,7 +316,7 @@ Model: RealESRGAN_x4plus
 </div>
 
 ### 精度
-本项目基于ADE20K公开数据集的val数据进行定性效果验证，首先需要对ADE20K val数据进行处理，得到处理后的结果图像（默认在results下）.
+本项目基于ADE20K公开数据集的val数据进行效果验证，需先要对ADE20K val数据进行推理，得到推理后的结果（默认在results下）.
 
 ```bash
 # 执行推理
@@ -324,10 +324,10 @@ python inference_realesrgan.py --model_path weights/RealESRGAN_x4plus.pth -n Rea
 python evalution.py --root_path results
 ```
 
-| NIQE | ADE20K val |
+| NIQE | ADE20K |
 | :------: | :------: |
-| V100S |  |
-| Z100L | 3.7886 |
+| V100S | 4.0358 |
+| Z100L | 4.0314 |
 
 ## 应用场景
 ### 算法类别

evalution.py

@@ -10,14 +10,17 @@ parser.add_argument('--root_path', type=str, default='results')
 args = parser.parse_args()
 
 def main():
-    for imgname in os.listdir(args.root_path):
+    res = []
+    for idx, imgname in enumerate(os.listdir(args.root_path)):
         img_path = os.path.join(args.root_path, imgname)
-        # img_path = 'tests/data/baboon.png'
-        img = cv2.imread(img_path)
+        img = cv2.imread(img_path)         
         with warnings.catch_warnings():
             warnings.simplefilter('ignore', category=RuntimeWarning)
             niqe_result = calculate_niqe(img, 0, input_order='HWC', convert_to='y')
-        print(niqe_result)
+            res.append(niqe_result)
+        print('{} img: {} niqe: {}'.format(idx, img_path, niqe_result))
+    avg = float(sum(res)/len(res))
+    print('avg niqe', avg)
 
 if __name__ == '__main__':
     main()