work on obj_detect sample

diff --git a/samples/python2/obj_detect.py b/samples/python2/obj_detect.py
new file mode 100644 (file)
index 0000000..0c99c1d
--- /dev/null
+++ b/samples/python2/obj_detect.py
@@ -0,0 +1,79 @@
+import numpy as np\r
+import cv2, cv\r
+import common\r
+\r
+def detect(img, cascade):\r
+    min_size = (20, 20)\r
+    haar_scale = 1.1\r
+    min_neighbors = 3\r
+    haar_flags = 0\r
+    rects = cascade.detectMultiScale(img, haar_scale, min_neighbors, haar_flags, min_size)\r
+    if len(rects) == 0:\r
+        return\r
+    rects[:,2:] += rects[:,:2]\r
+    return rects\r
+\r
+def detect_turned(img, cascade):\r
+    img_t = cv2.transpose(img)\r
+    img_cw = cv2.flip(img_t, 1)\r
+    img_ccw = cv2.flip(img_t, 0)\r
+    r = detect(img, cascade)\r
+    r_cw = detect(img_cw, cascade)\r
+    r_ccw = detect(img_ccw, cascade)\r
+\r
+    h, w = img.shape[:2]\r
+    if r_cw is not None:\r
+        r_cw[:,[0, 2]] = h - r_cw[:,[0, 2]] - 1\r
+        r_cw = r_cw[:,[1,0,3,2]]\r
+    if r_ccw is not None:\r
+        r_ccw[:,[1, 3]] = w - r_ccw[:,[1, 3]] - 1\r
+        r_ccw = r_ccw[:,[1,0,3,2]]\r
+    rects = np.vstack( [a for a in [r, r_cw, r_ccw] if a is not None] )\r
+    return rects\r
+\r
+def process_image(fn, cascade):\r
+    pass\r
+    \r
+    \r
+\r
+if __name__ == '__main__':\r
+    import sys\r
+    import getopt\r
+    args, img_mask = getopt.getopt(sys.argv[1:], '', ['cascade='])\r
+    args = dict(args)\r
+    cascade_fn = args.get('--cascade', "../../data/haarcascades/haarcascade_frontalface_alt.xml")\r
+\r
+    cascade = cv2.CascadeClassifier(cascade_fn)\r
+\r
+\r
+    img = cv2.imread('test.jpg')\r
+    h, w = img.shape[:2]\r
+    r = 512.0 / max(h, w)\r
+    small = cv2.resize(img, (int(w*r), int(h*r)), interpolation=cv2.INTER_AREA)\r
+    rects = detect_turned(small, cascade)\r
+    print rects\r
+    for x1, y1, x2, y2 in rects:\r
+        cv2.rectangle(small, (x1, y1), (x2, y2), (0, 255, 0))\r
+        cv2.circle(small, (x1, y1), 2, (0, 0, 255), -1)\r
+\r
+\r
+\r
+    cv2.imshow('img', small)\r
+    cv2.waitKey()\r
+\r
+    \r
+\r
+'''\r
+\r
+\r
+    img = cv2.imread('test.jpg')\r
+    h, w = img.shape[:2]\r
+\r
+\r
+    r = 512.0 / max(h, w)\r
+    small = cv2.resize(img, (w*r, h*r), interpolation=cv2.INTER_AREA)\r
+\r
+cv2.imshow('img', small)\r
+cv2.waitKey()\r
+\r
+'''
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