add anomaly timing to visual anomalies results

Author: rajames

examples/image/classify-full-frame.py

@@ -122,7 +122,9 @@ def print_classification(res, tag):
                             print('\t%s (%.2f): x=%d y=%d w=%d h=%d' % (bb['label'], bb['value'], bb['x'], bb['y'], bb['width'], bb['height']))
 
                     if "visual_anomaly_grid" in res["result"].keys():
-                        print('Found %d visual anomalies (%d ms.)' % (len(res["result"]["visual_anomaly_grid"]), res['timing']['dsp'] + res['timing']['classification']))
+                        print('Found %d visual anomalies (%d ms.)' % (len(res["result"]["visual_anomaly_grid"]), res['timing']['dsp'] +
+                                                                                                                 res['timing']['classification'] +
+                                                                                                                 res['timing']['anomaly']))
                         for grid_cell in res["result"]["visual_anomaly_grid"]:
                             print('\t%s (%.2f): x=%d y=%d w=%d h=%d' % (grid_cell['label'], grid_cell['value'], grid_cell['x'], grid_cell['y'], grid_cell['width'], grid_cell['height']))
 

examples/image/classify-image.py

@@ -74,7 +74,9 @@ def main(argv):
                     cropped = cv2.rectangle(cropped, (bb['x'], bb['y']), (bb['x'] + bb['width'], bb['y'] + bb['height']), (255, 0, 0), 1)
 
             if "visual_anomaly_grid" in res["result"].keys():
-                print('Found %d visual anomalies (%d ms.)' % (len(res["result"]["visual_anomaly_grid"]), res['timing']['dsp'] + res['timing']['classification']))
+                print('Found %d visual anomalies (%d ms.)' % (len(res["result"]["visual_anomaly_grid"]), res['timing']['dsp'] +
+                                                                                                            res['timing']['classification'] +
+                                                                                                            res['timing']['anomaly']))
                 for grid_cell in res["result"]["visual_anomaly_grid"]:
                     print('\t%s (%.2f): x=%d y=%d w=%d h=%d' % (grid_cell['label'], grid_cell['value'], grid_cell['x'], grid_cell['y'], grid_cell['width'], grid_cell['height']))
                     cropped = cv2.rectangle(cropped, (grid_cell['x'], grid_cell['y']), (grid_cell['x'] + grid_cell['width'], grid_cell['y'] + grid_cell['height']), (255, 125, 0), 1)

examples/image/classify-video.py

@@ -93,7 +93,9 @@ def getFrame(sec):
                         img = cv2.rectangle(cropped, (bb['x'], bb['y']), (bb['x'] + bb['width'], bb['y'] + bb['height']), (255, 0, 0), 1)
 
                 if "visual_anomaly_grid" in res["result"].keys():
-                    print('Found %d visual anomalies (%d ms.)' % (len(res["result"]["visual_anomaly_grid"]), res['timing']['dsp'] + res['timing']['classification']))
+                    print('Found %d visual anomalies (%d ms.)' % (len(res["result"]["visual_anomaly_grid"]), res['timing']['dsp'] +
+                                                                                                                res['timing']['classification'] +
+                                                                                                                res['timing']['anomaly']))
                     for grid_cell in res["result"]["visual_anomaly_grid"]:
                         print('\t%s (%.2f): x=%d y=%d w=%d h=%d' % (grid_cell['label'], grid_cell['value'], grid_cell['x'], grid_cell['y'], grid_cell['width'], grid_cell['height']))
                         img = cv2.rectangle(cropped, (grid_cell['x'], grid_cell['y']), (grid_cell['x'] + grid_cell['width'], grid_cell['y'] + grid_cell['height']), (255, 125, 0), 1)