Hi,

As title described. I think this feature will be helpful when:

• managing projects programmatically
• integrating doccano with other jobs/services.

Here are my thoughts:

UI:

DB Models:
add one more t

Colour could use a definition like that to interact easily with OpenColorIO:

def ocio_colourspace_process(a, config, source, target, use_cpu=True):
    a = colour.utilities.as_float_array(a, dtype=np.float32)
    height, width, channels = a.shape

    processor = config.getProcessor(source, target)
    processor = (
        processor.getDefaultCPUProcessor()
        if use_cpu

Issue to track tutorial requests:

• Deep Learning with PyTorch: A 60 Minute Blitz - #69

What?

Currently, API manually throws its own messages and errors. We should move them to werkzeug exceptions.

Datasets can be listed with lots of filters, but strangely not by uploader user id.