Oriented Imagery Viewer 'Direction' issue

Jaire_McNichols

Good Afternoon,

I've been doing some testing with the new Oriented Imagery capabilities in AGOL, but I have only managed to upload one test set of data properly. My last couple of attempts have ended up with maps where the OI field-of-view cone points in the opposite direction of the actual view of the photo (pictured below). If this is working as intended, I wonder if some sort of offset can be added to the dataset to better pair the aerial and 360 imagery.

Is there a best practice for adding images to the OIC dataset? I've attempted using a .txt file with the image paths and making a feature layer that follows the OIC table schema. My one successful Oriented Imagery Viewer map was created using the .txt method, but that test was also with a much smaller dataset.

Any information would be a great help and thanks in advance!

OIV issue.jpg

OIV issuetable.jpg

SamuelAdamson

import arcpy
import math

# Set workspace and feature class
arcpy.env.workspace = r"C:\Users\sdada\Documents\ArcGIS\Projects\Street_view\Street_view.gdb" # replace with FGDB containing OIC #
feature_class = "Streetview_ExportFeatures" # Replace with actual feature class name #
heading_field = "CameraHeading" #replace with camera heading field #

# Add Heading field if it doesn't exist
if heading_field not in [f.name for f in arcpy.ListFields(feature_class)]:
arcpy.AddField_management(feature_class, heading_field, "DOUBLE")

def calculate_initial_bearing(lat1, lon1, lat2, lon2):
"""Calculate the bearing between two GPS points."""
delta_lon = math.radians(lon2 - lon1)
lat1, lat2 = map(math.radians, [lat1, lat2])

x = math.sin(delta_lon) * math.cos(lat2)
y = math.cos(lat1) * math.sin(lat2) - math.sin(lat1) * math.cos(lat2) * math.cos(delta_lon)

bearing = math.degrees(math.atan2(x, y))
return (bearing + 360) % 360 # Normalize to 0-360 degrees

# Read features and compute heading
gps_data = []
with arcpy.da.SearchCursor(feature_class, ["OBJECTID", "SHAPE@XY"]) as cursor:
for row in cursor:
gps_data.append({"ID": row[0], "Lat": row[1][1], "Lon": row[1][0]})

#check camera heading field exsists#
fields = [f.name for f in arcpy.ListFields(feature_class)]
print(fields) # Check if "CameraHeading" exists

#check gps data #
print(gps_data) # Debugging check before processing

# Update heading field
updates = {gps_data[i]["ID"]: calculate_initial_bearing(
gps_data[i]["Lat"], gps_data[i]["Lon"], gps_data[i + 1]["Lat"], gps_data[i + 1]["Lon"]
) for i in range(len(gps_data) - 1)}

with arcpy.da.UpdateCursor(feature_class, ["OBJECTID", heading_field]) as cursor:
for row in cursor:
if row[0] in updates:
cursor.updateRow([row[0], updates[row[0]]]) # Assign heading

print("Heading calculation complete! Check the updated feature class.")