def main():
    import dtlpy as dl
    import numpy as np
    import matplotlib.pyplot as plt

    # Get project and dataset
    project = dl.projects.get(project_name='Food')
    dataset = project.datasets.get(dataset_name='BeansDataset')

    # get item from platform
    item = dataset.items.get(filepath='/image.jpg')

    # Create a builder instance
    builder = item.annotations.builder()

    # add annotations of type box and label person
    builder.add(annotation_definition=dl.Box(top=10,
                                             left=10,
                                             bottom=100,
                                             right=100,
                                             label='black_bean'))

    # add annotations of type point with attribute
    builder.add(annotation_definition=dl.Point(x=80,
                                               y=80,
                                               label='pea'),
                attribute=['large'])

    # add annotations of type polygon
    builder.add(annotation_definition=dl.Polyline(geo=[[80, 40],
                                                       [100, 120],
                                                       [110, 130]],
                                                  label='beans_can'))

    # create a mask
    mask = np.zeros(shape=(item.height, item.width), dtype=np.uint8)
    # mark some part in the middle
    mask[50:100, 200:250] = 1
    # add annotations of type segmentation
    builder.add(annotation_definition=dl.Segmentation(geo=mask,
                                                      label='tomato_sauce'))

    # plot the all of the annotations you created
    plt.figure()
    plt.imshow(builder.show())
    for annotation in builder:
        plt.figure()
        plt.imshow(annotation.show())
        plt.title(annotation.label)
    # upload annotations to the item
    item.annotations.upload(builder)

def main():
    import dtlpy as dl
    import numpy as np
    import matplotlib.pyplot as plt

    # Get project and dataset
    project = dl.projects.get(project_name='Food')
    dataset = project.datasets.get(dataset_name='BeansDataset')

    # get item from platform
    item = dataset.items.get(filepath='/image.jpg')

    # Create a builder instance
    builder = item.annotations.builder()

    # add annotations of type box and label person
    builder.add(annotation_definition=dl.Box(top=10,
                                             left=10,
                                             bottom=100,
                                             right=100,
                                             label='black_bean'))

    # add annotations of type point with attribute
    builder.add(annotation_definition=dl.Point(x=80,
                                               y=80,
                                               label='pea'),
                attribute=['large'])

    # add annotations of type polygon
    builder.add(annotation_definition=dl.Polyline(geo=[[80, 40],
                                                       [100, 120],
                                                       [110, 130]],
                                                  label='beans_can'))

    # create a mask
    mask = np.zeros(shape=(item.height, item.width), dtype=np.uint8)
    # mark some part in the middle
    mask[50:100, 200:250] = 1
    # add annotations of type segmentation
    builder.add(annotation_definition=dl.Segmentation(geo=mask,
                                                      label='tomato_sauce'))

    # plot the all of the annotations you created
    plt.figure()
    plt.imshow(builder.show())
    for annotation in builder:
        plt.figure()
        plt.imshow(annotation.show())
        plt.title(annotation.label)
    # upload annotations to the item
    item.annotations.upload(builder)

# Get project and dataset # get item from platform # Create a builder instance # add annotations of type box and label person # add annotations of type point with attribute # add annotations of type polygon # create a mask # mark some part in the middle # add annotations of type segmentation # plot the all of the annotations you created # upload annotations to the item