Module vipy.data.cap
Expand source code Browse git
import os
import vipy
class CAP_classification_clip(vipy.dataset.Dataset):
"""https://visym.github.io/cap/"""
URL = 'https://consented-activities-of-people.s3.us-west-2.amazonaws.com/train/cap_classification_clip.tar.gz'
MD5 = '54315e2ce204f0dbbe298490a63b5b3b'
def __init__(self, datadir):
if not os.path.exists(os.path.join(datadir, 'cap_classification_clip', 'README.md')):
vipy.downloader.download_and_unpack(CAP_classification_clip.URL, datadir)
annotations = os.path.join(datadir, 'cap_classification_clip', 'annotations')
super().__init__(vipy.dataset.Dataset.from_directory(annotations, filetype='json'), id='cap')
class CAP_classification_pad(vipy.dataset.Dataset):
"""https://visym.github.io/cap/"""
URL = 'https://consented-activities-of-people.s3.us-west-2.amazonaws.com/train/cap_classification_pad.tar.gz'
MD5 = 'fbdc75e6ef10b874ddda20ee9765a710'
def __init__(self, datadir):
if not os.path.exists(os.path.join(datadir, 'cap_classification_pad', 'README.md')):
vipy.downloader.download_and_unpack(CAP_classification_pad.URL, datadir)
annotations = os.path.join(datadir, 'cap_classification_pad', 'annotations')
super().__init__(vipy.dataset.Dataset.from_directory(annotations, filetype='json'), id='cap')
class CAP_detection(vipy.dataset.Dataset):
"""https://visym.github.io/cap/"""
URL = 'https://dl.dropboxusercontent.com/s/db11zv0gcycu384/cap_detection_handheld_val.tar.gz.72f58e69582c17dd366d3c7e85cf0da8'
MD5 = '72f58e69582c17dd366d3c7e85cf0da8'
def __init__(self, datadir):
if not os.path.exists(os.path.join(datadir, 'cap_detection_handheld_val', 'README.md')):
vipy.downloader.download(CAP_detection.URL, os.path.join(datadir, 'cap_detection_handheld_val.tar.gz'), md5=CAP_detection.MD5)
vipy.downloader.unpack(os.path.join(datadir, 'cap_detection_handheld_val.tar.gz'), datadir)
annotations = os.path.join(datadir, 'cap_detection_handheld_val', 'annotations')
super().__init__(vipy.dataset.Dataset.from_directory(annotations, filetype='json'), id='cap_detection:val')
Classes
class CAP_classification_clip (datadir)
-
Expand source code Browse git
class CAP_classification_clip(vipy.dataset.Dataset): """https://visym.github.io/cap/""" URL = 'https://consented-activities-of-people.s3.us-west-2.amazonaws.com/train/cap_classification_clip.tar.gz' MD5 = '54315e2ce204f0dbbe298490a63b5b3b' def __init__(self, datadir): if not os.path.exists(os.path.join(datadir, 'cap_classification_clip', 'README.md')): vipy.downloader.download_and_unpack(CAP_classification_clip.URL, datadir) annotations = os.path.join(datadir, 'cap_classification_clip', 'annotations') super().__init__(vipy.dataset.Dataset.from_directory(annotations, filetype='json'), id='cap')
Ancestors
Class variables
var MD5
-
The type of the None singleton.
var URL
-
The type of the None singleton.
Inherited members
Dataset
:balanced
batch
chunk
chunks
clone
count
even_split
filter
frequency
from_directory
from_image_urls
groupby
id
identity_shuffler
index
inverse_frequency
list
load
localmap
map
minibatch
partition
pipeline
raw
repeat
sample
set
shift
shuffle
slice
sort
split
streaming_map
streaming_shuffler
take
take_fraction
takeby
takelist
takeone
truncate
tuple
uniform_shuffler
zip
class CAP_classification_pad (datadir)
-
Expand source code Browse git
class CAP_classification_pad(vipy.dataset.Dataset): """https://visym.github.io/cap/""" URL = 'https://consented-activities-of-people.s3.us-west-2.amazonaws.com/train/cap_classification_pad.tar.gz' MD5 = 'fbdc75e6ef10b874ddda20ee9765a710' def __init__(self, datadir): if not os.path.exists(os.path.join(datadir, 'cap_classification_pad', 'README.md')): vipy.downloader.download_and_unpack(CAP_classification_pad.URL, datadir) annotations = os.path.join(datadir, 'cap_classification_pad', 'annotations') super().__init__(vipy.dataset.Dataset.from_directory(annotations, filetype='json'), id='cap')
Ancestors
Class variables
var MD5
-
The type of the None singleton.
var URL
-
The type of the None singleton.
Inherited members
Dataset
:balanced
batch
chunk
chunks
clone
count
even_split
filter
frequency
from_directory
from_image_urls
groupby
id
identity_shuffler
index
inverse_frequency
list
load
localmap
map
minibatch
partition
pipeline
raw
repeat
sample
set
shift
shuffle
slice
sort
split
streaming_map
streaming_shuffler
take
take_fraction
takeby
takelist
takeone
truncate
tuple
uniform_shuffler
zip
class CAP_detection (datadir)
-
Expand source code Browse git
class CAP_detection(vipy.dataset.Dataset): """https://visym.github.io/cap/""" URL = 'https://dl.dropboxusercontent.com/s/db11zv0gcycu384/cap_detection_handheld_val.tar.gz.72f58e69582c17dd366d3c7e85cf0da8' MD5 = '72f58e69582c17dd366d3c7e85cf0da8' def __init__(self, datadir): if not os.path.exists(os.path.join(datadir, 'cap_detection_handheld_val', 'README.md')): vipy.downloader.download(CAP_detection.URL, os.path.join(datadir, 'cap_detection_handheld_val.tar.gz'), md5=CAP_detection.MD5) vipy.downloader.unpack(os.path.join(datadir, 'cap_detection_handheld_val.tar.gz'), datadir) annotations = os.path.join(datadir, 'cap_detection_handheld_val', 'annotations') super().__init__(vipy.dataset.Dataset.from_directory(annotations, filetype='json'), id='cap_detection:val')
Ancestors
Class variables
var MD5
-
The type of the None singleton.
var URL
-
The type of the None singleton.
Inherited members
Dataset
:balanced
batch
chunk
chunks
clone
count
even_split
filter
frequency
from_directory
from_image_urls
groupby
id
identity_shuffler
index
inverse_frequency
list
load
localmap
map
minibatch
partition
pipeline
raw
repeat
sample
set
shift
shuffle
slice
sort
split
streaming_map
streaming_shuffler
take
take_fraction
takeby
takelist
takeone
truncate
tuple
uniform_shuffler
zip