vendor: OpenCV 5.0.0 snapshot at 755e50675d97db9b7d449d8bd6b09888646f6c6e

modules/dnn_objdetect/scripts/pascal_preprocess.py

@@ -0,0 +1,47 @@
+from skimage import io, transform
+from multiprocessing.dummy import Pool as ThreadPool
+
+def rescale(root_new, root_old, img_path, ann_path, out_shape):
+  try:
+    img = io.imread(root_old+"/"+img_path)
+  except Exception as E:
+    print E
+  h, w, _ = img.shape
+  f_h, f_w = float(out_shape)/h, float(out_shape)/w
+  trans_img = transform.rescale(img, (f_h, f_w))
+  num_objs = 0
+  with open(root_old+"/"+ann_path, 'r') as f:
+    ann = f.readline()
+    ann = ann.rstrip()
+    ann = ann.split(' ')
+    ann = [float(i) for i in ann]
+    num_objs = len(ann) / 5
+    for idx in xrange(num_objs):
+      ann[idx * 5 + 0] = int(f_w * ann[idx * 5 + 0])
+      ann[idx * 5 + 1] = int(f_h * ann[idx * 5 + 1])
+      ann[idx * 5 + 2] = int(f_w * ann[idx * 5 + 2])
+      ann[idx * 5 + 3] = int(f_h * ann[idx * 5 + 3])
+    # Write the new annotations to file
+    with open(root_new+"/"+ann_path, 'w') as f_new:
+      for val in ann:
+        f_new.write(str(val)+' ')
+  # Save the new image
+  io.imwrite(root_new+"/"+img_path, trans_img)
+
+def preprocess():
+  source = '/users2/Datasets/PASCAL_VOC/VOCdevkit/VOC2012_Resize/source.txt'
+  root_old = '/users2/Datasets/PASCAL_VOC/VOCdevkit/VOC2012'
+  root_new = '/users2/Datasets/PASCAL_VOC/VOCdevkit/VOC2012_Resize'
+  out_shape = 416
+  with open(source, 'r') as src:
+    lines = src.readlines()
+    print 'Processing {} images and annotations'.format(len(lines))
+    for line in lines:
+      line = line.rstrip()
+      line = line.split(' ')
+      img_path = line[0]
+      ann_path = line[1]
+      rescale(root_new, root_old, img_path, ann_path, out_shape)
+
+if __name__ == '__main__':
+  preprocess()