From 90abf459d1df1f21960c1d653a1f936d1ec30256 Mon Sep 17 00:00:00 2001
From: adamhrv <adam@ahprojects.com>
Date: Wed, 5 Dec 2018 12:00:15 +0100
Subject: .

---
 megapixels/app/models/bbox.py | 57 ++++++++++++++++++++++++++++++++-----------
 1 file changed, 43 insertions(+), 14 deletions(-)

(limited to 'megapixels/app/models/bbox.py')

diff --git a/megapixels/app/models/bbox.py b/megapixels/app/models/bbox.py
index 41b67416..ccdf229e 100644
--- a/megapixels/app/models/bbox.py
+++ b/megapixels/app/models/bbox.py
@@ -1,6 +1,9 @@
+import math
+
 from dlib import rectangle as dlib_rectangle
 import numpy as np
 
+
 class BBoxPoint:
 
   def __init__(self, x, y):
@@ -105,7 +108,12 @@ class BBox:
   # # Utils
 
   # def constrain(self, dim):
-
+  def distance(self, b):
+    a = self
+    dcx = self._cx - b.cx
+    dcy = self._cy - b.cy
+    d = int(math.sqrt(math.pow(dcx, 2) + math.pow(dcy, 2)))
+    return d
 
   # -----------------------------------------------------------------
   # Modify
@@ -117,26 +125,40 @@ class BBox:
     :returns (BBox) in pixel dimensions
     """
     # expand
-    rect_exp = list( (np.array(self._rect) + np.array([-amt, -amt, amt, amt])).astype('int'))
+    r = list( (np.array(self._rect) + np.array([-amt, -amt, amt, amt])).astype('int'))
     # outliers
     oob = list(range(4))
-    oob[0] = min(rect_exp[0], 0)
-    oob[1] = min(rect_exp[1], 0)
-    oob[2] = dim[0] - max(rect_exp[2], 2)
-    oob[3] = dim[1] - max(rect_exp[3], 3)
+    oob[0] = min(r[0], 0)
+    oob[1] = min(r[1], 0)
+    oob[2] = dim[0] - r[2]
+    oob[3] = dim[1] - r[3]
     oob = np.array(oob)
     oob[oob > 0] = 0
-    # amount
+    # absolute amount
     oob = np.absolute(oob)
-    # threshold
-    rect_exp[0] = max(rect_exp[0], 0)
-    rect_exp[1] = max(rect_exp[1], 0)
-    rect_exp[2] = min(rect_exp[2], dim[0])
-    rect_exp[3] = min(rect_exp[3], dim[1])
+    # threshold expanded rectangle
+    r[0] = max(r[0], 0)
+    r[1] = max(r[1], 0)
+    r[2] = min(r[2], dim[0])
+    r[3] = min(r[3], dim[1])
     # redistribute oob amounts
     oob = np.array([-oob[2], -oob[3], oob[0], oob[1]])
-    rect_exp = np.add(np.array(rect_exp), oob)
-    return BBox(*rect_exp)    
+    r = np.add(np.array(r), oob)
+    # find overage
+    oob[0] = min(r[0], 0)
+    oob[1] = min(r[1], 0)
+    oob[2] = dim[0] - r[2]
+    oob[3] = dim[1] - r[3]
+    oob = np.array(oob)
+    oob[oob > 0] = 0
+    oob = np.absolute(oob)
+    if np.array(oob).any():
+      m = np.max(oob)
+      adj = np.array([m, m, -m, -m])
+      # print(adj)
+      r = np.add(np.array(r), adj)
+
+    return BBox(*r)    
 
 
   # -----------------------------------------------------------------
@@ -198,6 +220,13 @@ class BBox:
     rect = cls.normalize(cls, (x, y, x + w, y + h), dim)
     return cls(*rect)
 
+  @classmethod
+  def from_xyxy(cls, x1, y1, x2, y2):
+    """Converts x1, y1, x2, y2 to BBox
+    same as constructure but zprovided for conveniene
+    """
+    return cls(x1, y1, x2, y2)
+
   @classmethod
   def from_xywh(cls, x, y, w, h):
     """Converts x1, y1, w, h to BBox
-- 
cgit v1.2.3-70-g09d2