视频的尺寸/帧率等信息一般都在视频文件的头部几个字节内，所以只下载头部几个字节即可获得视频的尺寸/帧率等信息，不过具体也要看视频格式，有的格式会获取失败。
使用 opencv 获取视频尺寸/帧率等信息
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import cv2
def get_source_info_opencv(source_name):
try:
cap = cv2.VideoCapture(source_name)
width = cap.get(cv2.CAP_PROP_FRAME_WIDTH )
height = cap.get(cv2.CAP_PROP_FRAME_HEIGHT)
fps = cap.get(cv2.CAP_PROP_FPS)
num_frames = cap.get(cv2.CAP_PROP_FRAME_COUNT)
return (width, height, fps, num_frames)
except Exception as e:
print("read source:{} error. {}".format(source_name, e))
return (0, 0, 0, 0)
使用 requests 下载数据流的同步版本
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import requests
import cv2
def get_source_info_opencv(source_name):
try:
cap = cv2.VideoCapture(source_name)
width = cap.get(cv2.CAP_PROP_FRAME_WIDTH)
height = cap.get(cv2.CAP_PROP_FRAME_HEIGHT)
fps = cap.get(cv2.CAP_PROP_FPS)
num_frames = cap.get(cv2.CAP_PROP_FRAME_COUNT)
return (width, height, fps, num_frames)
except Exception as e:
print("read source:{} error. {}".format(source_name, e))
return (0, 0, 0, 0)
def stream():
# 用于保存视频头部字节流
head_out_fp = 'out_head.mp4'
# stream=True 表示数据流方式下载
r = requests.get(
'https://futurewindow.oss-cn-beijing.aliyuncs.com/other/2022/02/23/75600ec30a1948e083de84188dd73911.mp4', stream=True)
# 每次下载的数据大小，经测试3KB左右，成功率较为理想
chunk_size = 1024 * 3
if r.status_code == 200:
for chunk in r.iter_content(chunk_size):
with open(head_out_fp, 'wb') as f:
f.write(chunk)
print(get_source_info_opencv(head_out_fp))
r.close()
stream()
# 输出结果 (720.0, 400.0, 23.976023976023978, 260.0)
使用 aiohttp_requests 实现的异步版本
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from awaits.awaitable import awaitable
from aiohttp_requests import requests as io_requests
import asyncio
import cv2
@awaitable
def get_source_info_opencv(source_name):
try:
cap = cv2.VideoCapture(source_name)
width = cap.get(cv2.CAP_PROP_FRAME_WIDTH)
height = cap.get(cv2.CAP_PROP_FRAME_HEIGHT)
fps = cap.get(cv2.CAP_PROP_FPS)
num_frames = cap.get(cv2.CAP_PROP_FRAME_COUNT)
return (width, height, fps, num_frames)
except Exception as e:
print("read source:{} error. {}".format(source_name, e))
return (0, 0, 0, 0)
async def stream():
# 用于保存视频头部字节流
head_out_fp = 'out_head.mp4'
url = 'https://futurewindow.oss-cn-beijing.aliyuncs.com/other/2022/02/23/75600ec30a1948e083de84188dd73911.mp4'
# stream=True 表示数据流方式下载
r = await io_requests.get(url)
# 每次下载的数据大小，经测试3KB左右，成功率较为理想
chunk_size = 1024 * 3
if r.status == 200:
async for chunk in r.content.iter_chunked(chunk_size):
with open(head_out_fp, 'wb') as f:
f.write(chunk)
size = await get_source_info_opencv(head_out_fp)
print(size)
await r.wait_for_close()
break
asyncio.run(stream())
# 输出结果 (720.0, 400.0, 23.976023976023978, 260.0)
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