resolved changes based on feedback by Atma
"cell_type": "markdown",
"metadata": {},
"source": [
- "Deep learning based Object Detection models in arcgis.learn can be used to detect objects of interest. The [Object detection with arcgis.learn](https://developers.arcgis.com/python/guide/object-detection/) guide details how we can train such models and use them to detect objects. Deep learning based Object Tracking models in arcgis.learn can be used to track objects, given the location of the target object in the first frame of the sequence. The [Track Objects using SiamMask]() guide details how we can train such models and use them to track objects. \n",
+ "Deep learning based Object Detection models in arcgis.learn can be used to detect objects of interest. The [Object detection with arcgis.learn](https://developers.arcgis.com/python/guide/object-detection/) guide details how we can train such models and use them to detect objects. Deep learning based Object Tracking models in arcgis.learn can be used to track objects, given the location of the target object in the first frame of the sequence. The [Track Objects using SiamMask](https://developers.arcgis.com/python/guide/track_objects_using_siammask/) guide details how we can train such models and use them to track objects. \n",
"This guide describes the usage of **ObjectTracker** class in arcgis.learn which pairs Object Detection models and Object Tracking models to enable Deep Learning powered multi-object tracking. "
]
},
"cell_type": "markdown",
"metadata": {},
"source": [
- "<p align=\"center\"><img src=\"../../static/img/multi_object_tracking_using_object_tracker.gif\" /></p>\n",
+ "<p align=\"center\"><img src=\"../../static/img/multi_object_tracking_using_object_tracker.gif\\\" /></p>\n",
"\n",
"<center>Figure 1. Example showing multi-object tracking using ObjectTracker</center>"
]
"metadata": {},
"outputs": [],
"source": [
- "tracks = ot.update(frame)"
+ "tracks = tracker.update(frame)"
]
},
{
