dds-cloudapi-sdk 0.5.3

The SDK for calling deepdataspace cloud API.

dds-cloudapi-sdk

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The Python SDK for the DDS Cloud API.

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The dds-cloudapi-sdk is a Python package designed to simplify interactions with the DDS Cloud API. It features:

• Straightforward APIs
• Unified interfaces
• Handy utilities

Installation

You can get the SDK library directly from PyPi:

pip install dds-cloudapi-sdk

Quick Start

Below is a straightforward example for the popular DINO-X - Detection algorithm:

# 1. Initialize the client with your API token.
from dds_cloudapi_sdk import Config
from dds_cloudapi_sdk import Client

token = "Your API Token Here"
config = Config(token)
client = Client(config)

# 2. Create a task with proper parameters.
from dds_cloudapi_sdk.tasks.v2_task import V2Task, create_task_with_local_image_auto_resize

api_path = "/v2/task/dinox/detection"
api_body = {
    "model": "DINO-X-1.0",
    # "image": "", # image url or base64 encoded
    "prompt": {
        "type":"text",
        "text":"wolf.dog.butterfly"
    },
    "targets": ["bbox", "mask"],
    "bbox_threshold": 0.25,
    "iou_threshold": 0.8,
    "mask_format": "coco_rle",
}

# 2.1. Create task with local image auto resized (Recommended: faster processing)
# task = create_task_with_local_image_auto_resize(
#     api_path=api_path,
#     api_body_without_image=api_body,
#     image_path="local/path/to/infer/image.jpg",
# )

# 2.2. Create task with local image
# from dds_cloudapi_sdk.image_resizer import image_to_base64
# api_body["image"] = image_to_base64("local/path/to/infer/image.jpg")
# task = V2Task(api_path=api_path, api_body=api_body)

# 2.3. Create task with image URL
image_url = "https://dds-frontend.oss-accelerate.aliyuncs.com/static_files/playground/grounding_DINO-1.6/02.jpg"
api_body["image"] = image_url
task = V2Task(api_path=api_path, api_body=api_body)

# 3. Run the task.
# task.set_request_timeout(10)  # set the request timeout in seconds，default is 5 seconds
client.run_task(task)

# 4. Get the result.
print(task.result)

# 5. Visualize the result to local image.
# image_path = "local/path/to/infer/image.jpg" # when using local image
# image_path = image_url # when using image URL
# visualize_result(image_path=image_path, result=task.result, output_dir="path/to/output_dir")

3. Apply for an API Token

Step 1: Apply for API Quota. Step 2: Create projects and get your API token from here.

4. License

This project is released under the Apache 2.0 License.

Copyright 2023-present, IDEA

   Licensed under the Apache License, Version 2.0 (the "License");
   you may not use this file except in compliance with the License.
   You may obtain a copy of the License at

       http://www.apache.org/licenses/LICENSE-2.0

   Unless required by applicable law or agreed to in writing, software
   distributed under the License is distributed on an "AS IS" BASIS,
   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
   See the License for the specific language governing permissions and
   limitations under the License.