本文整理汇总了Python中models.Video.uploader方法的典型用法代码示例。如果您正苦于以下问题：Python Video.uploader方法的具体用法？Python Video.uploader怎么用？Python Video.uploader使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类models.Video的用法示例。
在下文中一共展示了Video.uploader方法的3个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: import_vdn_dataset_url
# 需要导入模块: from models import Video [as 别名]
# 或者: from models.Video import uploader [as 别名]
def import_vdn_dataset_url(server, url, user):
r = requests.get(url)
response = r.json()
vdn_dataset = create_dataset(response, server)
vdn_dataset.save()
video = Video()
if user:
video.uploader = user
video.name = vdn_dataset.name
video.vdn_dataset = vdn_dataset
video.save()
if vdn_dataset.download_url:
task_name = 'import_vdn_file'
import_video_task = TEvent()
import_video_task.video = video
import_video_task.operation = task_name
import_video_task.save()
app.send_task(name=task_name, args=[import_video_task.pk, ], queue=settings.TASK_NAMES_TO_QUEUE[task_name])
elif vdn_dataset.aws_key and vdn_dataset.aws_bucket:
task_name = 'import_vdn_s3'
import_video_task = TEvent()
import_video_task.video = video
import_video_task.operation = task_name
import_video_task.save()
app.send_task(name=task_name, args=[import_video_task.pk, ], queue=settings.TASK_NAMES_TO_QUEUE[task_name])
else:
raise NotImplementedError示例2: handle_youtube_video
# 需要导入模块: from models import Video [as 别名]
# 或者: from models.Video import uploader [as 别名]
def handle_youtube_video(name, url, extract=True, user=None, rate=30, rescale=0):
video = Video()
if user:
video.uploader = user
video.name = name
video.url = url
video.youtube_video = True
video.save()
task_name = 'segment_video'
extract_frames_task = TEvent()
extract_frames_task.video = video
extract_frames_task.operation = task_name
extract_frames_task.arguments_json = json.dumps({'rate': rate,'rescale': rescale})
extract_frames_task.save()
if extract:
app.send_task(name=task_name, args=[extract_frames_task.pk, ], queue=settings.TASK_NAMES_TO_QUEUE[task_name])
return video示例3: handle_uploaded_file
# 需要导入模块: from models import Video [as 别名]
# 或者: from models.Video import uploader [as 别名]
def handle_uploaded_file(f, name, extract=True, user=None, rate=30, rescale=0):
video = Video()
if user:
video.uploader = user
video.name = name
video.save()
primary_key = video.pk
filename = f.name
filename = filename.lower()
if filename.endswith('.dva_export.zip'):
create_video_folders(video, create_subdirs=False)
with open('{}/{}/{}.{}'.format(settings.MEDIA_ROOT, video.pk, video.pk, filename.split('.')[-1]),
'wb+') as destination:
for chunk in f.chunks():
destination.write(chunk)
video.uploaded = True
video.save()
task_name = 'import_video_by_id'
import_video_task = TEvent()
import_video_task.video = video
import_video_task.save()
app.send_task(name=task_name, args=[import_video_task.pk, ], queue=settings.TASK_NAMES_TO_QUEUE[task_name])
elif filename.endswith('.mp4') or filename.endswith('.flv') or filename.endswith('.zip'):
create_video_folders(video, create_subdirs=True)
with open('{}/{}/video/{}.{}'.format(settings.MEDIA_ROOT, video.pk, video.pk, filename.split('.')[-1]),
'wb+') as destination:
for chunk in f.chunks():
destination.write(chunk)
video.uploaded = True
if filename.endswith('.zip'):
video.dataset = True
video.save()
if extract:
extract_frames_task = TEvent()
extract_frames_task.arguments_json = json.dumps({'rate': rate,'rescale': rescale})
extract_frames_task.video = video
task_name = 'extract_frames' if video.dataset else 'segment_video'
extract_frames_task.operation = task_name
extract_frames_task.save()
app.send_task(name=task_name, args=[extract_frames_task.pk, ],
queue=settings.TASK_NAMES_TO_QUEUE[task_name])
else:
raise ValueError, "Extension {} not allowed".format(filename.split('.')[-1])
return video