Pillow python : 提高脚本性能
Pillow python : Improve script performance
我有一个简单的脚本可以从图像列表中获取图像大小 URL 但是当列表太大时它会太慢(例如:120 URLs,它可能需要10 秒到 运行)
def get_image_size(url):
data = requests.get(url).content
try:
im = Image.open(BytesIO(data))
size = im.size
except:
size = False
return size
list_images = ['https://example.com/img.png', ...]
for img in list_images:
get_image_size(img)
我已经尝试过 Gevent,它可以让我节省 50% 的处理时间,但这还不够。我想知道是否还有其他选项可以使此脚本 运行 更快?
最终目标是得到数据集最大的5张图片
您可以使用 grequests(请求和 gevent)而不是使用 Pillow 来获取图像大小,您可以从 HTTP headers:
通常性能取决于网络connection/server速度和图像大小:
import grequests
def downloadImages(images):
result = {}
rs = (grequests.get(t) for t in images)
downloads = grequests.map(rs, size=len(images))
for download in downloads:
_status = 200 == download.status_code
_url = download.url
if _status:
for k, v in download.headers.items():
if k.lower() == 'content-length':
result[_url] = v
continue
else:
result[_url] = -1
return result
if __name__ == '__main__':
urls = [
'https://b.tile.openstreetmap.org/12/2075/1409.png',
'https://b.tile.openstreetmap.org/12/2075/1410.png',
'https://b.tile.openstreetmap.org/12/2075/1411.png',
'https://b.tile.openstreetmap.org/12/2075/1412.png'
]
sizes = downloadImages(urls)
pprint.pprint(sizes)
Returns:
{'https://b.tile.openstreetmap.org/12/2075/1409.png': '40472',
'https://b.tile.openstreetmap.org/12/2075/1410.png': '38267',
'https://b.tile.openstreetmap.org/12/2075/1411.png': '36338',
'https://b.tile.openstreetmap.org/12/2075/1412.png': '30467'}
我有一个简单的脚本可以从图像列表中获取图像大小 URL 但是当列表太大时它会太慢(例如:120 URLs,它可能需要10 秒到 运行)
def get_image_size(url):
data = requests.get(url).content
try:
im = Image.open(BytesIO(data))
size = im.size
except:
size = False
return size
list_images = ['https://example.com/img.png', ...]
for img in list_images:
get_image_size(img)
我已经尝试过 Gevent,它可以让我节省 50% 的处理时间,但这还不够。我想知道是否还有其他选项可以使此脚本 运行 更快?
最终目标是得到数据集最大的5张图片
您可以使用 grequests(请求和 gevent)而不是使用 Pillow 来获取图像大小,您可以从 HTTP headers:
通常性能取决于网络connection/server速度和图像大小:
import grequests
def downloadImages(images):
result = {}
rs = (grequests.get(t) for t in images)
downloads = grequests.map(rs, size=len(images))
for download in downloads:
_status = 200 == download.status_code
_url = download.url
if _status:
for k, v in download.headers.items():
if k.lower() == 'content-length':
result[_url] = v
continue
else:
result[_url] = -1
return result
if __name__ == '__main__':
urls = [
'https://b.tile.openstreetmap.org/12/2075/1409.png',
'https://b.tile.openstreetmap.org/12/2075/1410.png',
'https://b.tile.openstreetmap.org/12/2075/1411.png',
'https://b.tile.openstreetmap.org/12/2075/1412.png'
]
sizes = downloadImages(urls)
pprint.pprint(sizes)
Returns:
{'https://b.tile.openstreetmap.org/12/2075/1409.png': '40472',
'https://b.tile.openstreetmap.org/12/2075/1410.png': '38267',
'https://b.tile.openstreetmap.org/12/2075/1411.png': '36338',
'https://b.tile.openstreetmap.org/12/2075/1412.png': '30467'}