Method dump_web

eval.py:342–371

Dumps it in the format for my web app. Warning: bad code ahead!

(self)

                json.dump(data, f)
    
    def dump_web(self):
        """ Dumps it in the format for my web app. Warning: bad code ahead! """
        config_outs = ['preserve_aspect_ratio', 'use_prediction_module',
                        'use_yolo_regressors', 'use_prediction_matching',
                        'train_masks']

        output = {
            'info' : {
                'Config': {key: getattr(cfg, key) for key in config_outs},
            }
        }

        image_ids = list(set([x['image_id'] for x in self.bbox_data]))
        image_ids.sort()
        image_lookup = {_id: idx for idx, _id in enumerate(image_ids)}

        output['images'] = [{'image_id': image_id, 'dets': []} for image_id in image_ids]

        # These should already be sorted by score with the way prep_metrics works.
        for bbox, mask in zip(self.bbox_data, self.mask_data):
            image_obj = output['images'][image_lookup[bbox['image_id']]]
            image_obj['dets'].append({
                'score': bbox['score'],
                'bbox': bbox['bbox'],
                'category': cfg.dataset.class_names[get_transformed_cat(bbox['category_id'])],
                'mask': mask['segmentation'],
            })

        with open(os.path.join(args.web_det_path, '%s.json' % cfg.name), 'w') as f:
            json.dump(output, f)