test_stream_51.py

import os

import pytest
import numpy as np
from torchvision.transforms import Resize, ToTensor

from continuum.datasets import Stream51
from continuum.scenarios import InstanceIncremental
from continuum.scenarios import ClassIncremental


DATA_PATH = os.environ.get("CONTINUUM_DATA_PATH")


'''
Test the visualization with instance_class scenario
'''
@pytest.mark.slow
def test_scenario_clip_ClassIncremental():

    folder = "tests/samples/stream51/class_incremental/"
    if not os.path.exists(folder):
        os.makedirs(folder)

    dataset = Stream51(DATA_PATH, task_criterion="clip")
    # dataset = Stream51('../Datasets', task_criterion="video")
    # scenario = InstanceIncremental(dataset, transformations=[Resize((224, 224)), ToTensor()])
    scenario = ClassIncremental(dataset, increment=1, transformations=[Resize((224, 224)), ToTensor()])

    print(f"Nb classes : {scenario.nb_classes} ")
    print(f"Nb tasks : {scenario.nb_tasks} ")
    for task_id, task_set in enumerate(scenario):
        print(f"Task {task_id} : {task_set.nb_classes} classes")
        task_set.plot(path=folder,
                      title="Stream51_InstanceIncremental_{}.jpg".format(task_id),
                      nb_samples=100)



'''
Test the visualization with instance scenario
'''
@pytest.mark.slow
def test_scenario_clip_InstanceIncremental():
    folder = "tests/samples/stream51/class_incremental/"
    if not os.path.exists(folder):
        os.makedirs(folder)

    dataset = Stream51(DATA_PATH, task_criterion="clip")
    scenario = InstanceIncremental(dataset, transformations=[Resize((224, 224)), ToTensor()])

    print(f"Nb classes : {scenario.nb_classes} ")
    print(f"Nb tasks : {scenario.nb_tasks} ")
    for task_id, task_set in enumerate(scenario):
        print(f"Task {task_id} : {task_set.nb_classes} classes")
        task_set.plot(path=folder,
                      title="Stream51_InstanceIncremental_{}.jpg".format(task_id),
                      nb_samples=100)