fix faster_rcnn sample crashed at PoolingInvoker on Windows7(x64). (#10724)

* fix faster_rcnn sample crashed at PoolingInvoker operator() of pooling_layer.

* find_odj onmouse bug about find matched point status.

* reverted AutoBuffer back to std::vector

modules/dnn/src/layers/pooling_layer.cpp

@@ -320,7 +320,7 @@ public:
             bool compMaxIdx = computeMaxIdx;
 
 #if CV_SIMD128
-            const int* ofsptr = &ofsbuf[0];
+            const int* ofsptr = ofsbuf.empty() ? 0 : (const int*)&ofsbuf[0];
             v_float32x4 idx00(0.f, (float)stride_w, (float)(stride_w*2), (float)(stride_w*3));
             v_float32x4 ones = v_setall_f32(1.f);
             v_float32x4 idx_delta = v_setall_f32((float)(inp_width - kernel_w));

samples/python/find_obj.py

@@ -120,10 +120,11 @@ def explore_match(win, img1, img2, kp_pairs, status = None, H = None):
             r = 8
             m = (anorm(np.array(p1) - (x, y)) < r) | (anorm(np.array(p2) - (x, y)) < r)
             idxs = np.where(m)[0]
+
             kp1s, kp2s = [], []
             for i in idxs:
                 (x1, y1), (x2, y2) = p1[i], p2[i]
-                col = (red, green)[status[i]]
+                col = (red, green)[status[i][0]]
                 cv.line(cur_vis, (x1, y1), (x2, y2), col)
                 kp1, kp2 = kp_pairs[i]
                 kp1s.append(kp1)