def __init__(self, api_key):
self.api_key = api_key
self.workspace = fdc.Workspace(api_key)
self.run_id = -1 # defaults to error value
self.scenes = self.workspace.get_scenes()
self.canceled = False
self.scene_num = -1
def main():
global workspace
global strategy
print("Enter the id of the scene you would like to test")
strategies = ["multi", "natural"]
scene_id = input("id? ")
strategy = input("strategy? ")
while not strategy in strategies:
print("Invalid strategy\n")
strategy = input("strategy? ")
api_key = 'MaH!2iNyY1C3vfyusR%?FmDu@!mZMl9Ns8Syby?9ZPB*rJ&X$b^0fCduWj_$&9m7'
workspace = fdc.Workspace(api_key)
scenes = workspace.get_scenes()
# Check if scene id is a valid scene
for scene in scenes:
if (scene['id'] == int(scene_id)):
start_run(scene)
import firedrone.client as fdc from firedrone.client.errors import FireDroneClientHttpError import os api_key = 'MaH!2iNyY1C3vfyusR%?FmDu@!mZMl9Ns8Syby?9ZPB*rJ&X$b^0fCduWj_$&9m7' workspace = fdc.Workspace(api_key) scenes = workspace.get_scenes()
#run this file to get a runId
#insert runID into scene%d.py
import firedrone.client as fdc
from firedrone.client.errors import FireDroneClientHttpError
workspace = fdc.Workspace('')
#workspace.directrun_end('')
#Insert scene number
try:
start_result = workspace.directrun_start(21)
print(start_result)
except FireDroneClientHttpError as e:
print(e)
import firedrone.client as fdc
from firedrone.client.errors import FireDroneClientHttpError
import os
import tensorflow as tf
import numpy as np
import cv2
import json
RETRAINED_LABELS_TXT_FILE_LOC = os.getcwd() + "/" + "retrained_labels.txt"
RETRAINED_GRAPH_PB_FILE_LOC = os.getcwd() + "/" + "retrained_graph.pb"
DATA_DIR = os.getcwd() + "/drone"
workspace = fdc.Workspace(
'7#ogORpZ1j9CRAT$-AYVoG4SgVXnkjf&rC6Xg2kADk^ece-_gM9X5bp1HXA%%C!S')
runId = ''
classifications = ['fire', 'nofire']
# Move left once to get MOVE_RESULT in order to start the loop
move_result = workspace.directrun_move_left(runId)
# move drone to the bottom left corner
move_result['success'] = True
while move_result['success']:
move_result = workspace.directrun_move_left(runId)
# ___________________________________________________________
# Drone at the bottom left corner. Ready to start work
row = 0
move_result['success'] = True
# load the graph from file
with tf.gfile.FastGFile(RETRAINED_GRAPH_PB_FILE_LOC,
'rb') as retrainedGraphFile: