jackyyeh5111

import sys
import Adafruit_DHT

import requests
import time
headers = {'X-AIO-KEY':'b89e5148eebe4f7b9eb366de79deabba'}

sensor = Adafruit_DHT.DHT11
pin = 4  # GPIO4 (Raspberry Pi 3 pin 7)

jackyyeh5111

import requests

headers = {'X-AIO-KEY':'08e1fcfcb7554b348679ca0633241e42'}
res = requests.post('https://io.adafruit.com/api/v2/jackyyeh/feeds/light/data', {"value":900}, headers=headers)
print(res.json())

jackyyeh5111

# Copyright 2016 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,

jackyyeh5111

# Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,

jackyyeh5111

img_path = 'image/G2/6.jpg'# Detect and remove unrelevant regions (batch). 
import cv2 
import numpy as np
import pandas as pd 

# Parameters. 
group_lst = ['G1', 'G2', 'G3', 'G4']
group_dct = {'G1': 19, 'G2': 13, 'G3': 15, 'G4': 16}
kernel = np.ones((5,5), np.uint8)
img_path = 'image/G2/6.jpg'

jackyyeh5111

from typing import List
from ..component import Component
from ...state import AllState, VehicleState, EntityRelation, EntityRelationEnum, Path, Trajectory, Route, ObjectFrameEnum
from ...utils import serialization
from ...mathutils.transforms import vector_madd, vector_dist
import math
import numpy as np

# Two helper functions to get plaaning time
# Should be moved to mathutils?