FiftyOne series of tutorials (2) Use FiftyOne to read data sets

1. Supported datasets

1.1. Support various common dataset formats

• docs.voxel51.com/user guide/dataset creation/datasets.html#supported import formats
• 
• In addition, what datasets are on the zoo, you can load the corresponding datasets here
• Available Zoo Datasets — FiftyOne 0.20.1 documentation
• 

2. Download the dataset from the cloud

2.1. Visualizing the COCO dataset

2.1.1. Open from browser

import fiftyone as fo
import fiftyone.zoo as foz

加载官方数据集coco2017,因为训练集太大，所以我们只下载验证集
dataset = foz.load_zoo_dataset(
    "coco-2017",
    split="validation",
    dataset_name="evaluate-detections-tutorial",
)

通过fo来打开app可视化：
session = fo.launch_app() 打开APP
session.dataset = dataset 添加数据集
session.wait()  官网给的示例没有这一句，记得加上，不然程序不会等待，在网页中看不到我们要的效果

• 

2.1.2. Open the operation page in the APP

the code

import fiftyone as fo
import fiftyone.zoo as foz

dataset = foz.load_zoo_dataset("quickstart")

session = fo.launch_app(dataset,port = 5151,desktop=True)  # 没有指定port则默则5151
session.wait()  # 官网给的示例没有这一句，记得加上，不然程序不会等待，在网页中看不到我们要的效果

• Read the cifar10 dataset

the code

import fiftyone as fo
import fiftyone.zoo as foz

# 加载官方数据集coco2017,因为训练集太大，所以我们只下载验证集
dataset = foz.load_zoo_dataset(
    "cifar10",
    split="test",
    dataset_name="evaluate-detections-tutorial",
)

# 通过fo来打开app可视化：
session = fo.launch_app() # 打开APP
session.dataset = dataset # 添加数据集
session.wait()  # 官网给的示例没有这一句，记得加上，不然程序不会等待，在网页中看不到我们要的效果

• 

3. Read custom format dataset

3.1. Visualizing the VOC dataset

• docs.voxel51.com/user guide/dataset creation/datasets.html#vocdetectiondataset import

3.1.1. Format requirements

The data in vc format only needs to put the image in the data folder, and then put the label in the labels folder

<dataset_dir>/
    data/
        <uuid1>.<ext>
        <uuid2>.<ext>
        ...
    labels/
        <uuid1>.xml
        <uuid2>.xml
        ...

3.1.2. Code

Read the entire dataset folder

import fiftyone as fo

# A name for the dataset
name = "my-dataset"

# The directory containing the dataset to import
dataset_dir = "dataset/RBC"

# The type of the dataset being imported
dataset_type = fo.types.VOCDetectionDataset  # for example

dataset = fo.Dataset.from_dir(
    dataset_dir=dataset_dir,
    dataset_type=dataset_type,
    name=name,
)

session = fo.launch_app() # 打开APP
session.dataset = dataset # 添加数据集
session.wait()  # 官网给的示例没有这一句，记得加上，不然程序不会等待，在网页中看不到我们要的效果

Specify paths to images and annotations

import fiftyone as fo

name = "my-dataset-1"
data_path = "dataset/RBC/data"
labels_path = "dataset/RBC/labels"

dataset = fo.Dataset.from_dir(
    dataset_type=fo.types.VOCDetectionDataset,
    data_path=data_path,
    labels_path=labels_path,
    name=name,
)

session = fo.launch_app() # 打开APP
session.dataset = dataset # 添加数据集
session.wait()  # 官网给的示例没有这一句，记得加上，不然程序不会等待，在网页中看不到我们要的效果

3.1.3. Effects