import os

import pytest
from torchvision.transforms import Resize, ToTensor

from continuum.datasets import CUB200
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_CUB200_ClassIncremental():
    dataset = CUB200(DATA_PATH, train=True, transform=None)
    scenario = ClassIncremental(dataset, increment=100, 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="Archives/Samples/CUB200/CI",
                      title="CUB200_InstanceIncremental_{}.jpg".format(task_id),
                      nb_samples=100)

import os

import pytest
from torchvision.transforms import Resize, ToTensor

from continuum.datasets import CUB200
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_CUB200_ClassIncremental():
    dataset = CUB200(DATA_PATH, train=True, transform=None)
    scenario = ClassIncremental(dataset, increment=100, 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="Archives/Samples/CUB200/CI",
                      title="CUB200_InstanceIncremental_{}.jpg".format(task_id),
                      nb_samples=100)

Test the visualization with instance_class scenario