fixed consistency darknet and python code

build/darknet/x64/darknet.py

@@ -60,7 +60,8 @@ class DETECTION(Structure):
                 ("mask", POINTER(c_float)),
                 ("objectness", c_float),
                 ("sort_class", c_int),
-                ("uc", POINTER(c_float))]
+                ("uc", POINTER(c_float)),
+                ("points", c_int)]
 
 
 class IMAGE(Structure):

darknet.py

@@ -60,7 +60,8 @@ class DETECTION(Structure):
                 ("mask", POINTER(c_float)),
                 ("objectness", c_float),
                 ("sort_class", c_int),
-                ("uc", POINTER(c_float))]
+                ("uc", POINTER(c_float)),
+                ("points", c_int)]
 
 
 class IMAGE(Structure):

src/gaussian_yolo_layer.c

@@ -136,10 +136,10 @@ box get_gaussian_yolo_box(float *x, float *biases, int n, int index, int i, int
 
     b.w = exp(x[index + 4 * stride]) * biases[2 * n] / w;
     b.h = exp(x[index + 6 * stride]) * biases[2 * n + 1] / h;
+    b.x = (i + x[index + 0 * stride]) / lw;
+    b.y = (j + x[index + 2 * stride]) / lh;
 
     if (yolo_point == YOLO_CENTER) {
-        b.x = (i + x[index + 0 * stride]) / lw;
-        b.y = (j + x[index + 2 * stride]) / lh;
     }
     else if (yolo_point == YOLO_LEFT_TOP) {
         b.x = (i + x[index + 0 * stride]) / lw + b.w / 2;
@@ -176,12 +176,12 @@ float delta_gaussian_yolo_box(box truth, float *x, float *biases, int n, int ind
 
     float tx, ty, tw, th;
 
+    tx = (truth.x*lw - i);
+    ty = (truth.y*lh - j);
     tw = log(truth.w*w / biases[2 * n]);
     th = log(truth.h*h / biases[2 * n + 1]);
 
     if (yolo_point == YOLO_CENTER) {
-        tx = (truth.x*lw - i);
-        ty = (truth.y*lh - j);
     }
     else if (yolo_point == YOLO_LEFT_TOP) {
         tx = ((truth.x - truth.w / 2)*lw - i);