Roboflow Python Library

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Roboflow makes managing, preprocessing, augmenting, and versioning datasets for computer vision seamless. This is the official Roboflow python package that interfaces with the Roboflow API. Key features of Roboflow:

• Import and Export image datasets into any supported formats
• Preprocess and augment data using Roboflow's dataset management tools
• Train computer vision models using Roboflow Train and deploy to production
• Use community curated projects to start building your own vision-powered products

Installation:

To install this package, please use Python 3.6 or higher. We provide three different ways to install the Roboflow package to use within your own projects.

Install from Pypi (Recommended):

pip install roboflow

Install from Conda:

conda install roboflow

Install from Source:

git clone https://github.com/roboflow-ai/roboflow-python.git
cd roboflow-python
python3 -m venv
source venv/bin/activate 
pip3 install -r requirements.txt

Quickstart

import roboflow

# Instantiate Roboflow object with your API key
rf = Roboflow(api_key=YOUR_API_KEY_HERE)

# List all projects for your workspace
workspace = rf.workspace()

# Load a certain project, workspace url is optional
project = rf.project("PROJECT_ID")

# List all versions of a specific project
project.versions()

# Upload image to dataset
project.upload("UPLOAD_IMAGE.jpg")

# Retrieve the model of a specific project
project.version("1").model

# predict on a local image
prediction = model.predict("YOUR_IMAGE.jpg")

# Predict on a hosted image
prediction = model.predict("YOUR_IMAGE.jpg", hosted=True)

# Plot the prediction
prediction.plot()

# Convert predictions to JSON
prediction.json()

# Save the prediction as an image
prediction.save(output_path='predictions.jpg')