---
title: python 套件介紹
tags: pyautogui, selenium, tesseract, 網路課tcp/ip
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theme: blood
transition: fade
---

---
## pyautogui 套件介紹
[pythonGUI自动化操作神器pyautogui](https://www.bilibili.com/video/BV1844y1N7xH?p=1&share_medium=android_i&share_plat=android&share_source=COPY&share_tag=s_i×tamp=1661664086&unique_k=jFCJriI)
---
```
前置作業
pip install pyautogui
pip install pillow
pip install opencv-python
```
### pyautogui應用-打地鼠
```python
import pyautogui as pg
pg.PAUSE = 0.1 # 設定pyautogui.PAUSE來控制兩個操作之間的延遲時間。預設情況下,它被設定為0.1 sec
pg.FAILSAFE = True # 失效安全防護
while 1:
#pg.locateOnScreen(["地鼠圖片"], confidence = [相似度])
coords = pg.locateOnScreen("C:\\Users\\user\\Desktop\\gophers.png", confidence = 0.8)
if coords :
x,y = pg.center(coords)
pg.leftClick(x,y)
pg.moveTo(200,300) #避免鼠標遮到地鼠 打完後歸位
else:
print("not find")
```
----

---
### pyautogui應用-太鼓達人
[影片-太鼓達人](https://youtu.be/u9hpfyzH7hQ)

---
```python
# 太鼓達人遊戲連結 https://taiko.bui.pm/
# 本程式參考自https://youtu.be/Nv_wo6D8uwo
import pyautogui, cv2
from time import sleep, time
import keyboard
def click():
coord01 = pyautogui.pixel(listPoint01[0], listPoint01[1])
if coord01[0] == 243 and coord01[1] == 71:
pyautogui.press('j')
elif coord01[0] == 101 and coord01[1] == 189:
pyautogui.press('k')
elif coord01[0] == 243 and coord01[1] == 181:
pyautogui.press('d')
pyautogui.press('f')
pyautogui.press('j')
if __name__ == "__main__":
pyautogui.PAUSE = 0.1
listPoint01 = [310,478]
keyboard.wait('a')
while 1:
click()
```
---
## selenium 套件介紹
[来看我用Python抢茅台,万能的抢购软件开发!](https://www.bilibili.com/video/BV1gf4y1E7i1?p=1&share_medium=android_i&share_plat=android&share_source=COPY&share_tag=s_i×tamp=1661664157&unique_k=43Pz6iW)
```python
#這邊只是架構
from selenium import webdriver
from time import sleep
import time, detetime
def login():
driver. get('要連到的網址')
if driver.find_element_by_xpath("網頁上要點擊的按鈕或連結的xpath"):
#XPath即為XML路徑語言,它是一種用來確定XML檔案中某部分位置的電腦語言。
driver.find_element_by_xpath("網頁上要點擊的按鈕或連結的xpath").click()
print('點擊成功')
sleep(15)
driver.get('[link]')
now = datetime.datetime.now()
print('', now.strftime('%Y-%m-%d %H:%M:%S.%f'))
if now > tiems:
while 1:
try:
if driver.find_element_by_xpath()
driver.find_element_by_xpath().click()
break
except:
print('X')
while 1:
try:
if driver.find_element_by_xpath():
driver.find_element_by_xpath().click()
break
except:
print('X')
if __name__ == '__main__':
driver = webdriver.Chrome()
times = input()
login()
```
---
### selenium應用-定時自動下單
[影片-在蝦皮上實作](https://youtu.be/LpWi9YGd8Ag)
```python
from selenium import webdriver
from time import sleep
import time, datetime
from selenium.webdriver.chrome.service import Service
from webdriver_manager.chrome import ChromeDriverManager
from selenium.webdriver.common.by import By
import pyautogui as pg
def login():
driver.get('https://shopee.tw/')
driver.maximize_window()
sleep(1.5)
pg.click(200,600) # close ad
if driver.find_element(By.XPATH, '//*[@id="main"]/div/header/div[1]/nav/ul/a[3]'):#login
driver.find_element(By.XPATH, '//*[@id="main"]/div/header/div[1]/nav/ul/a[3]').click()
sleep(0.2)
pg.typewrite('[帳號]', interval=0.01)#input account
if driver.find_element(By.XPATH, '//*[@id="main"]/div/div[2]/div/div/form/div/div[2]/div[3]/div[1]/input'):
driver.find_element(By.XPATH, '//*[@id="main"]/div/div[2]/div/div/form/div/div[2]/div[3]/div[1]/input').click()
sleep(0.1)
pg.typewrite('[密碼]', interval=0.01)#input password
if driver.find_element(By.XPATH, '//*[@id="main"]/div/div[2]/div/div/form/div/div[2]/button'):
driver.find_element(By.XPATH, '//*[@id="main"]/div/div[2]/div/div/form/div/div[2]/button').click()
sleep(0.5)
driver.find_element(By.XPATH, '//*[@id="main"]/div/div[2]/div/div/form/div/div[2]/button').click()
sleep(3)
driver.get('https://shopee.tw/cart')
else:
print("err login")
def buy(times):
while 1:
now = datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S.%f')
try:
if now > times:
if driver.find_element(By.XPATH, '//*[@id="main"]/div/div[2]/div/div/div[3]/div[1]/div[2]/div[1]/label/div'): #點擊全選
driver.find_element(By.XPATH, '//*[@id="main"]/div/div[2]/div/div/div[3]/div[1]/div[2]/div[1]/label/div').click()
break
else:
print("時間未到",end="")
except:
print("select all not find")
if driver.find_element(By.XPATH, '//*[@id="main"]/div/div[2]/div/div/div[3]/div[2]/div[7]/button[2]'): # 去買單
driver.find_element(By.XPATH, '//*[@id="main"]/div/div[2]/div/div/div[3]/div[2]/div[7]/button[2]').click()
if driver.find_element(By.XPATH,'//*[@id="main"]/div/div[2]/div/div/div[3]/div[2]/div[7]/button[2]'):
#driver.find_element(By.XPATH, '').click()
print("\n成功")
if __name__ == '__main__':
now = datetime.datetime.now()
print('現在時間是:', now.strftime('%Y-%m-%d %H:%M:%S.%f'))
times = input('請輸入搶購時間:')
driver = webdriver.Chrome(service=Service(ChromeDriverManager().install()))
login()
buy(times)
sleep(30)
driver.close()
```
---
[使用 WebDriver 定位頁面元素](http://www.tastones.com/zh-tw/stackoverflow/selenium-webdriver/locating-web-elements/locating_page_elements_using_webdriver/)
</br>
尋找鼠標位置及色碼
mouse_location.py
```python=
#mouse_location.py
import pyautogui as pg
def rgb2hex(r, g, b):
return '#{:02x}{:02x}{:02x}'.format(r, g, b)
while 1:
pos = pg.position()
print(pos,end="")
x, y = pg.position()
rgb = pg.screenshot().getpixel((x, y))
r = str(rgb[0]).rjust(3)
g = str(rgb[1]).rjust(3)
b = str(rgb[2]).rjust(3)
hex_c = rgb2hex(int(r),int(g),int(b))
color_str = f'選中顏色 RGB:({r},{g},{b}), 16進位:{hex_c}'
print(color_str)
```
----

---
## tesseract 套件介紹
[Python实现图片验证码识别](https://www.bilibili.com/video/BV1tf4y1P7uD?p=1&share_medium=android_i&share_plat=android&share_source=COPY&share_tag=s_i×tamp=1661664208&unique_k=78xsVFc)
[Tesseract安裝](https://ithelp.ithome.com.tw/articles/10233316)
[下載其他語言](https://tesseract-ocr.github.io/tessdoc/Data-Files)
----

---
### tesseract應用-圖片轉文字
```python
from PIL import Image
import pytesseract
path="img2.jpg"
img = Image.open(path)
#lang='eng'
result= pytesseract.image_to_string(img, lang="chi_tra+eng")
print(result)
```
---
<h4>輸入圖片</h4>

---
<h4>輸出文字</h4>
```
thls !s a text
hello Wworld
abcABC
```
---
<h4>輸入圖片</h4>

<h4>輸出文字</h4>
```
通 是 一 個 中 英 文 混 合 的 sentence﹒
目 信 這 樣 會 比 較 international。
更 何 況 這 可 以 用 computer 來 辨 識 text
真 的 非 常 good﹒
```
---
### 提升辨識度的方法
參考 [Tesseract 使用&安裝&訓練](https://hackmd.io/@DCT/Tesseract-OCR-%E6%96%87%E5%AD%97%E8%BE%A8%E8%AD%98)
1. 至少為300 DPI為最佳 (DPI, Dots Per Inch 每一英吋長度中,取樣或可顯示或輸出點的數目)
2. 白底黑字,字體清晰
3. 去噪,灰度圖二值化
網路上的範例 : [辨識車牌](https://lufor129.medium.com/pytesseract-%E8%BE%A8%E8%AD%98%E5%9C%96%E7%89%87%E4%B8%AD%E7%9A%84%E6%96%87%E5%AD%97-b1024f678fac)