Python獲取網路圖片和視訊的範例程式碼

2022-03-14 10:00:18

1.網路獲取Google影象

1.1 google_images_download

Python 是一種多用途語言，廣泛用於指令碼編寫。我們可以編寫 Python 指令碼來自動化日常事務。假設我們要下載具有多個搜尋查詢的谷歌圖片。我們可以自動化該過程，而不是手動進行。

如何安裝所需的模組：

pip install google_images_download

讓我們看看如何編寫 Python 指令碼以使用 Python google_images_download 模組下載 Google 影象。

# importing google_images_download module
from google_images_download import google_images_download

# creating object
response = google_images_download.googleimagesdownload()

search_queries =
[
'The smartphone also features an in display fingerprint sensor.',
'The pop up selfie camera is placed aligning with the rear cameras.',
'''In terms of storage Vivo V15 Pro could offer
up to 6GB of RAM and 128GB of onboard storage.''',
'The smartphone could be fuelled by a 3 700mAh battery.',
]


def downloadimages(query):
	# keywords is the search query
	# format is the image file format
	# limit is the number of images to be downloaded
	# print urs is to print the image file url
	# size is the image size which can
	# be specified manually ("large, medium, icon")
	# aspect ratio denotes the height width ratio
	# of images to download. ("tall, square, wide, panoramic")
	arguments = {"keywords": query,
				"format": "jpg",
				"limit":4,
				"print_urls":True,
				"size": "medium",
				"aspect_ratio":"panoramic"}
	try:
		response.download(arguments)
	
	# Handling File NotFound Error	
	except FileNotFoundError:
		arguments = {"keywords": query,
					"format": "jpg",
					"limit":4,
					"print_urls":True,
					"size": "medium"}
					
		# Providing arguments for the searched query
		try:
			# Downloading the photos based
			# on the given arguments
			response.download(arguments)
		except:
			pass

# Driver Code
for query in search_queries:
	downloadimages(query)
	print()

輸出

注意：由於下載錯誤，部分圖片無法開啟。

1.2 BeautifulSoup

import re
import requests
from bs4 import BeautifulSoup
from urllib.parse import urlparse
import os
f = open("images_flowers.txt", "w")
res=[]
def download_google(url):
    #url = 'https://www.google.com/search?q=flowers&sxsrf=ALeKk00uvzQYZFJo03cukIcMS-pcmmbuRQ:1589501547816&source=lnms&tbm=isch&sa=X&ved=2ahUKEwjEm4LZyrTpAhWjhHIEHewPD1MQ_AUoAXoECBAQAw&biw=1440&bih=740'
    page = requests.get(url).text
    soup = BeautifulSoup(page, 'html.parser')

    for raw_img in soup.find_all('img'):
        link = raw_img.get('src')
        res.append(link)
        if link:
            f.write(link +"n")


download_google('https://www.google.com/search?q=flowers&sxsrf=ALeKk00uvzQYZFJo03cukIcMS-pcmmbuRQ:1589501547816&source=lnms&tbm=isch&sa=X&ved=2ahUKEwjEm4LZyrTpAhWjhHIEHewPD1MQ_AUoAXoECBAQAw&biw=1440&bih=740')

f.close()

1.3 pyimagesearch

感謝 Adrian Rosebrock 編寫此程式碼並將其公開。

# USAGE
# python download_images.py --urls urls.txt --output images/santa

# import the necessary packages
from imutils import paths
import argparse
import requests
import cv2
import os

# construct the argument parse and parse the arguments
ap = argparse.ArgumentParser()
ap.add_argument("-u", "--urls", required=True,
	help="path to file containing image URLs")
ap.add_argument("-o", "--output", required=True,
	help="path to output directory of images")
args = vars(ap.parse_args())

# grab the list of URLs from the input file, then initialize the
# total number of images downloaded thus far
rows = open(args["urls"]).read().strip().split("n")
total = 0

# loop the URLs
for url in rows:
	try:
		# try to download the image
		r = requests.get(url, timeout=60)

		# save the image to disk
		p = os.path.sep.join([args["output"], "{}.jpg".format(
			str(total).zfill(8))])
		f = open(p, "wb")
		f.write(r.content)
		f.close()

		# update the counter
		print("[INFO] downloaded: {}".format(p))
		total += 1

	# handle if any exceptions are thrown during the download process
	except:
		print("[INFO] error downloading {}...skipping".format(p))

# loop over the image paths we just downloaded
for imagePath in paths.list_images(args["output"]):
	# initialize if the image should be deleted or not
	delete = False

	# try to load the image
	try:
		image = cv2.imread(imagePath)

		# if the image is `None` then we could not properly load it
		# from disk, so delete it
		if image is None:
			print("None")
			delete = True

	# if OpenCV cannot load the image then the image is likely
	# corrupt so we should delete it
	except:
		print("Except")
		delete = True

	# check to see if the image should be deleted
	if delete:
		print("[INFO] deleting {}".format(imagePath))
		os.remove(imagePath)

2.網路獲取Youtube視訊