demos: yolo fixes (#3533)

1. swap W and H for python yolo
2. fix hqResize choice for cpp
3. align padding for resize for cpp and py

Ticket: 89481

Author: Wovchena

demos/common/cpp/utils/src/image_utils.cpp

@@ -22,7 +22,7 @@ cv::Mat resizeImageExt(const cv::Mat& mat, int width, int height, RESIZE_MODE re
     }
 
     cv::Mat dst;
-    int interpMode = hqResize ? cv::INTER_LINEAR : cv::INTER_CUBIC;
+    int interpMode = hqResize ? cv::INTER_CUBIC : cv::INTER_LINEAR;
 
     switch (resizeMode) {
     case RESIZE_FILL:

demos/common/python/openvino/model_zoo/model_api/models/utils.py

@@ -137,7 +137,7 @@ def resize_image_letterbox(image, size, interpolation=cv2.INTER_LINEAR):
     dx = (w - nw) // 2
     dy = (h - nh) // 2
     resized_image = np.pad(image, ((dy, dy + (h - nh) % 2), (dx, dx + (w - nw) % 2), (0, 0)),
-                           mode='constant', constant_values=128)
+                           mode='constant', constant_values=0)
     return resized_image
 
 

demos/common/python/openvino/model_zoo/model_api/models/yolo.py

@@ -140,7 +140,7 @@ def _parse_yolo_region(self, predictions, input_size, params):
             class_idx = keep_idxs % params.classes
 
             for ind, obj_ind in enumerate(obj_indx):
-                row, col, n = self._get_location(obj_ind, params.sides[0], params.num)
+                row, col, n = self._get_location(obj_ind, params.sides[1], params.num)
 
                 # Process raw value to get absolute coordinates of boxes
                 raw_box = self._get_raw_box(prediction, obj_ind)
@@ -180,8 +180,8 @@ def _get_raw_box(prediction, obj_ind):
     def _get_absolute_det_box(box, row, col, anchors, coord_normalizer, size_normalizer):
         x = (col + box.x) / coord_normalizer[1]
         y = (row + box.y) / coord_normalizer[0]
-        width = np.exp(box.w) * anchors[0] / size_normalizer[0]
-        height = np.exp(box.h) * anchors[1] / size_normalizer[1]
+        width = np.exp(box.w) * anchors[0] / size_normalizer[1]
+        height = np.exp(box.h) * anchors[1] / size_normalizer[0]
 
         return DetectionBox(x, y, width, height)