fix interpolation

docs/zh_CN/feature_visiualization/get_started.md

@@ -47,7 +47,7 @@ def forward(self, inputs):
 python tools/feature_maps_visualization/fm_vis.py -i the image you want to test \
                                                 -c channel_num -p pretrained model \
                                                 --show whether to show \
-                                                --save whether to save \
+                                                --interpolation interpolation method\
                                                 --save_path where to save \
                                                 --use_gpu whether to use gpu
 ```
@@ -56,6 +56,7 @@ python tools/feature_maps_visualization/fm_vis.py -i the image you want to test
 + `-c`：特征图维度，如 `./resnet50_vd/model`
 + `-p`：权重文件路径，如 `./ResNet50_pretrained/`
 + `--show`：是否展示图片，默认值 False
++ `--interpolation`: 图像插值方式， 默认值 1
 + `--save_path`：保存路径，如：`./tools/`
 + `--use_gpu`：是否使用 GPU 预测，默认值：True
 

tools/feature_maps_visualization/fm_vis.py

@@ -28,19 +28,20 @@ def parse_args():
     parser.add_argument("-c", "--channel_num", type=int)
     parser.add_argument("-p", "--pretrained_model", type=str)
     parser.add_argument("--show", type=str2bool, default=False)
+    parser.add_argument("--interpolation", type=int, default=1)
     parser.add_argument("--save_path", type=str)
     parser.add_argument("--use_gpu", type=str2bool, default=True)
     
     return parser.parse_args()
 
-def create_operators():
+def create_operators(interpolation=1):
     size = 224
     img_mean = [0.485, 0.456, 0.406]
     img_std = [0.229, 0.224, 0.225]
     img_scale = 1.0 / 255.0
 
     decode_op = utils.DecodeImage()
-    resize_op = utils.ResizeImage(resize_short=256)
+    resize_op = utils.ResizeImage(resize_short=256, interpolation=interpolation)
     crop_op = utils.CropImage(size=(size, size))
     normalize_op = utils.NormalizeImage(
         scale=img_scale, mean=img_mean, std=img_std)
@@ -58,7 +59,7 @@ def preprocess(fname, ops):
 
 def main():
     args = parse_args()
-    operators = create_operators()
+    operators = create_operators(args.interpolation)
     # assign the place
     if args.use_gpu:
         gpu_id = fluid.dygraph.parallel.Env().dev_id
@@ -66,7 +67,7 @@ def main():
     else:
         place = fluid.CPUPlace()
 
-    pre_weights_dict = fluid.load_program_state(args.pretrained_model)
+    #pre_weights_dict = fluid.load_program_state(args.pretrained_model)
     with fluid.dygraph.guard(place):
         net = ResNet50()
         data = preprocess(args.image_file, operators)

tools/feature_maps_visualization/utils.py

@@ -32,15 +32,16 @@ class DecodeImage(object):
 
 
 class ResizeImage(object):
-    def __init__(self, resize_short=None):
+    def __init__(self, resize_short=None, interpolation=1):
         self.resize_short = resize_short
+        self.interpolation = interpolation
 
     def __call__(self, img):
         img_h, img_w = img.shape[:2]
         percent = float(self.resize_short) / min(img_w, img_h)
         w = int(round(img_w * percent))
         h = int(round(img_h * percent))
-        return cv2.resize(img, (w, h))
+        return cv2.resize(img, (w, h), interpolation=self.interpolation)
 
 
 class CropImage(object):