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[net]
# Testing
batch=16
subdivisions=16
# Training
# batch=64
# subdivisions=2
width=416            
height=416           
channels=3

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[net]
# Testing
# batch=1
# subdivisions=1
# Training
batch=16
subdivisions=16
width=288       # input image resolution in width
height=288        # input image resolution in height
channels=3        # color space of input image

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import cv2
# 載入分類器
face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
# 讀取圖片
img = cv2.imread('a.jpg')
# 轉成灰階圖片
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
# 偵測臉部
faces = face_cascade.detectMultiScale(
    gray,

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import cv2

# 載入分類器
face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')

# 從視訊鏡頭擷取影片. 
#cap = cv2.VideoCapture(0)
# 使用現有影片
cap = cv2.VideoCapture('test.mp4')

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import requests

def lineNotifyMessage(token, msg):
    headers = {
          "Authorization": "Bearer " + token, 
          "Content-Type" : "application/x-www-form-urlencoded"
      }

    payload = {'message': msg}
    r = requests.post("https://notify-api.line.me/api/notify", headers = headers, params = payload)

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cp /home/e96031413/PiToTX2/video/*.mp4 /home/e96031413/AlexeyAB/darknet/data/bird/video/
cp -a /home/e96031413/PiToTX2/image/. /home/e96031413/AlexeyAB/darknet/data/bird/image
#./darknet detector test cfg/voc.data cfg/yolov3.cfg yolov3_10000.weights data/bird/image/bird.jpg | tee predict_img_result.txt | sleep 1s ; kill $!
./darknet detector demo cfg/voc.data cfg/yolov3.cfg yolov3_10000.weights data/bird/video/test.mp4 -out_filename detect-result.avi | sleep 120s ; kill $!
youtube-upload --title="video from tx2" detect-result.avi

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[net]
# Testing
batch=16
subdivisions=16
# Training
# batch=64
# subdivisions=2
width=416
height=416
channels=3

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import requests
from selenium import webdriver
from selenium.webdriver.chrome.options import Options

options = Options()
#關閉瀏覽器跳出訊息
prefs = {
    'profile.default_content_setting_values' :
        {
        'notifications' : 2

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#only for pip >= 10.0.1 
#for pip < 10.0.1, please upgrade your pip version with the following code
'''python -m pip install --user --upgrade pip'''


import pkg_resources
from subprocess import call

packages = [dist.project_name for dist in pkg_resources.working_set]
call("pip install --upgrade " + ' '.join(packages), shell=True)

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import win32com.client

speaker = win32com.client.Dispatch("SAPI.SpVoice")

while 1:
  print('Enter the Word')
  #可用中文、英文
  s = input(	)
  speaker.Speak(s)