make minor fixes

research/object_detection/dataset_tools/create_ava_tf_record.py

@@ -208,7 +208,7 @@ class Ava(object):
       reader = csv.DictReader(annotations, fieldnames)
       frame_annotations = collections.defaultdict(list)
       ids = set()
-      # aggreggate by video and timestamp:
+      # aggregate by video and timestamp:
       for row in reader:
         ids.add(row["id"])
         key = (row["id"], int(float(row["timestamp_seconds"])))
@@ -284,15 +284,7 @@ class Ava(object):
                   logging.warning("Unknown label: %s", row["action_label"])
 
             #Display the image and bounding boxes being
-            #processed (for debugging purposes)
-
-            #for i in range(len(xmins)):
-            #  cv2.rectangle(image, (int(xmins[i] * width),
-            #                        int(ymaxs[i] * height)),
-            #                        (int(xmaxs[i] * width),
-            #                        int(ymins[i] * height)), (255, 0, 0), 2)
-            #cv2.imshow("mywindow", image)
-            #cv2.waitKey(1000)
+            #processed (for debugging purposes) if desired.
 
             total_xmins.append(dataset_util.float_list_feature(xmins))
             total_xmaxs.append(dataset_util.float_list_feature(xmaxs))
@@ -332,7 +324,9 @@ class Ava(object):
               'region/label/string':
                   feature_list_feature(total_label_strings),
               'region/label/confidence':
-                  feature_list_feature(total_confidences)
+                  feature_list_feature(total_confidences), #all ones
+              'region/is_annotated':
+                  feature_list_feature(total_confidences) #all ones
           }
 
           if len(total_xmins) > 0:

research/object_detection/dataset_tools/download_and_preprocess_ava.sh

@@ -16,10 +16,12 @@ done
 rm "ava_file_names_trainval_v2.1.txt"
 cd ..
 
-#Trimming causes issues with frame seeking in the python script, so it is best left out.
+# Trimming causes issues with frame seeking in the python script, so it is best left out.
+# If included, need to modify the python script to subtract 900 seconds wheen seeking.
+
 #echo "Trimming all videos."
 
 #mkdir ava_vids_trimmed
 #for filename in ava_vids_raw/*; do
 #  ffmpeg -ss 900 -to 1800 -i $filename -c copy ava_vids_trimmed/${filename##*/}
-#done
\ No newline at end of file
+#done