Method add_mask

eval.py:320–330

The segmentation should be the full mask, the size of the image and with size [h, w].

(self, image_id:int, category_id:int, segmentation:np.ndarray, score:float)

        })

    def add_mask(self, image_id:int, category_id:int, segmentation:np.ndarray, score:float):
        """ The segmentation should be the full mask, the size of the image and with size [h, w]. """
        rle = pycocotools.mask.encode(np.asfortranarray(segmentation.astype(np.uint8)))
        rle['counts'] = rle['counts'].decode('ascii') # json.dump doesn't like bytes strings

        self.mask_data.append({
            'image_id': int(image_id),
            'category_id': get_coco_cat(int(category_id)),
            'segmentation': rle,
            'score': float(score)
        })
    
    def dump(self):
        dump_arguments = [