feat design 功能迁移

2024-05-28 15:22:11 +08:00
parent ec2438f97f
commit a9dcd444c8
35 changed files with 3378 additions and 3 deletions
--- a/app/service/design/items/pipelines/scale.py
+++ b/app/service/design/items/pipelines/scale.py
@@ -0,0 +1,54 @@
+from ..builder import PIPELINES
+import math
+import cv2
+
+
+@PIPELINES.register_module()
+class Scaling(object):
+    def __init__(self):
+        pass
+
+    # @ RunTime
+    def __call__(self, result):
+        if result['keypoint'] in ['waistband', 'shoulder', 'head_point']:
+            # milvus_db_keypoint_cache
+            distance_clo = math.sqrt(
+                (int(result['clothes_keypoint'][result['keypoint'] + '_left'][0]) - int(result['clothes_keypoint'][result['keypoint'] + '_right'][0])) ** 2
+                +
+                (int(result['clothes_keypoint'][result['keypoint'] + '_left'][1]) - int(result['clothes_keypoint'][result['keypoint'] + '_right'][1])) ** 2)
+
+            distance_bdy = math.sqrt((int(result['body_point_test'][result['keypoint'] + '_left'][0]) - int(result['body_point_test'][result['keypoint'] + '_right'][0])) ** 2 + 1)
+            # distance_clo = math.sqrt(
+            #     (int(result['clothes_keypoint'][result['keypoint'] + '_left'].split("_")[0]) - int(result['clothes_keypoint'][result['keypoint'] + '_right'].split("_")[0])) ** 2
+            #     +
+            #     (int(result['clothes_keypoint'][result['keypoint'] + '_left'].split("_")[1]) - int(result['clothes_keypoint'][result['keypoint'] + '_right'].split("_")[1])) ** 2)
+            #
+            # distance_bdy = math.sqrt((int(result['body_point_test'][result['keypoint'] + '_left'][0]) - int(result['body_point_test'][result['keypoint'] + '_right'][0])) ** 2 + 1)
+            if distance_clo == 0:
+                result['scale'] = 10
+            else:
+                result['scale'] = distance_bdy / distance_clo
+        elif result['keypoint'] == 'toe':
+            distance_bdy = math.sqrt(
+                (int(result['body_point_test']['foot_length'][0]) - int(result['body_point_test']['foot_length'][2])) ** 2
+                +
+                (int(result['body_point_test']['foot_length'][1]) - int(result['body_point_test']['foot_length'][3])) ** 2
+            )
+
+            Blur = cv2.GaussianBlur(result['gray'], (3, 3), 0)
+            Edge = cv2.Canny(Blur, 10, 200)
+            Edge = cv2.dilate(Edge, None)
+            Edge = cv2.erode(Edge, None)
+            Contour, _ = cv2.findContours(Edge, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
+            Contours = sorted(Contour, key=cv2.contourArea, reverse=True)
+
+            Max_contour = Contours[0]
+            x, y, w, h = cv2.boundingRect(Max_contour)
+            width = w
+            distance_clo = width
+            result['scale'] = distance_bdy / distance_clo
+        elif result['keypoint'] == 'hand_point':
+            result['scale'] = result['scale_bag']
+        elif result['keypoint'] == 'ear_point':
+            result['scale'] = result['scale_earrings']
+        return result