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generate_exif_data.py
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generate_exif_data.py
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# In settings.json first activate computer vision mode:
# https://github.com/Microsoft/AirSim/blob/master/docs/image_apis.md#computer-vision-mode
import json
import setup_path
import airsim
import os
import cv2 as cv
import numpy as np
import sys
global filename
i =1
virtual_coordinates = []
for z in np.linspace(-30,-100,10):
for x in np.linspace(2.93,-37.37, 10):
for y in np.linspace(-88.17, -192.27,10):
virtual_coordinates.append("x: "+str(round(x,2))+", y: "+str(round(y,2))+", z: "+str(round(z,2)))
object_list = ["train", "truck", "gas_cylinder"]
for image_count in range(1,1000):
list_of_fields = ["Height", "Width", "Gamma", "Autoexposure max brightness", "Virtual coorindates", "Labels", "Bounding boxes"]
metadata_dictionary= {key: None for key in list_of_fields}
metadata_dictionary["Height"] = 1024
metadata_dictionary["Width"] = 1024
metadata_dictionary["Gamma"] = 2.2
metadata_dictionary["Autoexposure max brightness"] = 0.64
metadata_dictionary["Virtual coorindates"] = virtual_coordinates[image_count-1]
metadata_dictionary["Labels"] = []
metadata_dictionary["Bounding boxes"]=[]
for object in object_list:
file_path = "D:/AirSim/New/Images/Images_master/"+object+"_bbox_coordinates_"+str(image_count)+".txt"
if os.path.exists(file_path):
metadata_dictionary["Labels"].append(object)
metadata_dictionary["Bounding boxes"].append(open(file_path, 'r').read())
# if len(metadata_dictionary["Labels"]) > 0:
# metadata_dictionary["Labels"] = ','.join(map(repr, metadata_dictionary["Labels"]))
# metadata_dictionary["Bounding boxes"]= ','.join(map(repr, metadata_dictionary["Bounding boxes"]))
with open("D:/AirSim/New/Images/Images_master/"+"metadata_"+str(image_count)+".exif", 'w') as file:
file.write(json.dumps(metadata_dictionary))
# print(virtual_coordinates[1:10])