Read pretrained data from file

[jakewilliami]

No description provided.

[jakewilliami]

Or perhaps teach programme how to read a pre-trained (and well-trained) xml file, such as with OpenCV.

[jakewilliami]

See:

    if os.path.isfile('votes.pkl'):
        images = []
        print('loading preprocessed votes..')
        with open('votes.pkl', 'rb') as file:
            votes = pickle.load(file)
            f_votes = next(iter(votes.values())).tolist()
            for img, _ in f_votes:
                images.append(img)
        images = np.array(images)

    else:
        print('Generating data from scratch')
        # construct initial weights
        pos_weight = 1. / (2 * len(positives))
        neg_weight = 1. / (2 * len(negatives))
        for p in positives:
            p.set_weight(pos_weight)
        for n in negatives:
            n.set_weight(neg_weight)

            # pickle our work from before
            print('storing generated votes..')
            with open('votes.pkl', 'wb') as file:
                pickle.dump(votes, file)


 with open('classifiers.pckl', 'wb') as file:
                pickle.dump(classifiers, file)

https://stackoverflow.com/questions/29364135/equivalent-to-pickle-in-julia

From Simon-Hohberg/Viola-Jones@2bcc06c

[jakewilliami]

Commit e7295f8 closes the original issue. However, it does not address the reading of well-trained xml files (i.e., from OpenCV). Keeping this open for future development.

[jakewilliami]

It's not just me that wants this feature...

[jakewilliami]

This may be helpful.

Edit: it seems like that is maybe based on this.

[jakewilliami]

I should also mention this is the data we want to read from.

[jakewilliami]

I think I need to do some reading to answer some questions about the structure of the XML data^{[1], [2], [3]}