feat

fix  重写所有resize代码，mmcv替换为cv

app/service/design/utils/design_ensemble.py

@@ -27,7 +27,10 @@ from app.core.config import *
 def keypoint_preprocess(img_path):
     img = mmcv.imread(img_path)
     img_scale = (256, 256)
-    img, w_scale, h_scale = mmcv.imresize(img, img_scale, return_scale=True)
+    h, w = img.shape[:2]
+    w_scale = img_scale[0] / w
+    h_scale = img_scale[1] / h
+    img = cv2.resize(img, img_scale, interpolation=cv2.INTER_LINEAR)
     img = mmcv.imnormalize(img, mean=np.array([123.675, 116.28, 103.53]), std=np.array([58.395, 57.12, 57.375]), to_rgb=True)
     preprocessed_img = np.expand_dims(img.transpose(2, 0, 1), axis=0)
     return preprocessed_img, (w_scale, h_scale)
@@ -80,9 +83,8 @@ def seg_preprocess(img_path):
         img_scale_h = 1024
     # 如果图片size任意一边 大于 1024， 则会resize 成1024
     if ori_shape != (img_scale_w, img_scale_h):
-        # TODO 取消代码中所有 关于mmcv的resize
         # mmcv.imresize(img, img_scale_h, img_scale_w) # 老代码 引以为戒！哈哈哈~ h和w写反了
-        img = cv2.resize(img, (img_scale_h, img_scale_w))
+        img = cv2.resize(img, (img_scale_h, img_scale_w), interpolation=cv2.INTER_LINEAR)
     img = mmcv.imnormalize(img, mean=np.array([123.675, 116.28, 103.53]), std=np.array([58.395, 57.12, 57.375]), to_rgb=True)
     preprocessed_img = np.expand_dims(img.transpose(2, 0, 1), axis=0)
     return preprocessed_img, ori_shape
@@ -130,12 +132,12 @@ def key_point_show(image_path, key_point_result=None):
 
 
 if __name__ == '__main__':
-    image = cv2.imread("./14162b58-f259-4833-98cb-89b9b496b251.jfif")
+    image = cv2.imread("9070101c-e5be-49b5-9602-4113a968969b.png")
     a = get_keypoint_result(image, "up")
     new_list = []
     print(list)
     for i in a[0]:
         new_list.append((int(i[0]), int(i[1])))
-    key_point_show("./14162b58-f259-4833-98cb-89b9b496b251.jfif", new_list)
+    key_point_show("9070101c-e5be-49b5-9602-4113a968969b.png", new_list)
     # a = get_seg_result(1, image)
     print(a)