Create get_openimages_dataset.py

Script that downloads images with selected classes from OpenImages dataset and create labels in "yolo format"

scripts/get_openimages_dataset.py

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+import csv
+import os
+
+#select classes you want to download at https://github.com/openimages/dataset/blob/master/dict.csv
+CLASS_LIST = ('/m/01g317','/m/04yx4')
+img_name = "111111111111"
+
+#download csv from https://storage.googleapis.com/openimages/web/download.html
+with open('path\\train-annotations-bbox.csv', newline='') as csvfile:
+    bboxs = csv.reader(csvfile, delimiter=',', quotechar='|')
+    for bbox in bboxs:
+        if bbox[2] in CLASS_LIST:
+            if img_name != bbox[0]:
+                if not os.path.isfile("destination_path\\%s.jpg"%bbox[0]):
+                    os.system("gsutil cp gs://open-images-dataset/train/%s.jpg destination_path"%bbox[0])
+                    out_file = open("destination_path\\%s.txt"%bbox[0], 'w')
+                    img_name = bbox[0]
+            if img_name == bbox[0]:
+                out_file.write(str(CLASS_LIST.index(bbox[2])) + " " + str(float(bbox[4])+(float(bbox[5])-float(bbox[4]))/2) + " " + str(float(bbox[6])+(float(bbox[7])-float(bbox[6]))/2)+ " " + str(float(bbox[5])-float(bbox[4])) + " " + str(float(bbox[7])-float(bbox[6])) + '\n')