prasad01dalavi
diff --git a/‎object_detection/Video Detection_screenshot_31.01.2018.png
365 KB b/‎object_detection/Video Detection_screenshot_31.01.2018.png
365 KB
diff --git a/‎object_detection/cat.mp4
1.55 MB b/‎object_detection/cat.mp4
1.55 MB
diff --git a/‎object_detection/object_detection_tutorial.py
+1-1 b/‎object_detection/object_detection_tutorial.py
+1-1
diff --git a/‎object_detection/protos/__init__.pyc
100755100644
80 Bytes b/‎object_detection/protos/__init__.pyc
100755100644
80 Bytes
diff --git a/‎object_detection/protos/string_int_label_map_pb2.pyc
100755100644
240 Bytes b/‎object_detection/protos/string_int_label_map_pb2.pyc
100755100644
240 Bytes
diff --git a/‎object_detection/utils/__init__.pyc
100755100644
80 Bytes b/‎object_detection/utils/__init__.pyc
100755100644
80 Bytes
diff --git a/‎object_detection/utils/label_map_util.pyc
100755100644
720 Bytes b/‎object_detection/utils/label_map_util.pyc
100755100644
720 Bytes
diff --git a/‎object_detection/utils/visualization_utils.pyc
100755100644
1.17 KB b/‎object_detection/utils/visualization_utils.pyc
100755100644
1.17 KB
@@ -110,7 +110,7 @@ def load_image_into_numpy_array(image):
         detection_classes = detection_graph.get_tensor_by_name('detection_classes:0')
         num_detections = detection_graph.get_tensor_by_name('num_detections:0')
 
-        video_path = '/home/prasad/Downloads/travel.mp4'
+        video_path = 'cat.mp4'
         cap = cv2.VideoCapture(video_path)
         ret = True