DeepAPI v0.4.3

Deep Learning as a Cloud API Service.

Quick Start:

# Using docker
docker run -p 8080:8080 wuhanstudio/deepapi

# Using python3
pip install deepapi
python -m deepapi

Serving on port 8080...

The cloud service is available at http://localhost:8080

Changelog

Supported models for research on black-box adversarial attacks,:

• Pretrained VGG16 model on Cifar10 dataset
• Pretrained VGG16 model on ImageNet dataset
• Pretrained Resnet50 model on ImageNet dataset
• Pretrained Inceptionv3 model on ImageNet dataset

The Web UI:

• Upload and recognize an image
• Automatic python client code generation
• Automatic curl client code generation

The Python API:

import numpy as np
from PIL import Image

from deepapi.api import DeepAPI_VGG16_Cifar10

# Load the image
x = Image.open("dog.jpg")
x = np.array(x)

# Initialize the model
model  = DeepAPI_VGG16_Cifar10('http://localhost:8080', concurrency=8)

# Predict
y = model.predict(np.array([x]))[0]

# Print the result
model.print(y)

DeepAPI v0.1.0

Deep Learning as a Cloud API Service that supports:

• Pretrained VGG16 model on Cifar10 dataset
• Pretrained VGG16 model on ImageNet dataset
• Pretrained Resnet50 model on ImageNet dataset
• Pretrained Inceptionv3 model on ImageNet dataset
• Automatic python client code generation
• Automatic curl client code generation
• A web interface for the api service

A minimal version is deployed here:

http://api.wuhanstudio.uk/