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from pycocoevalcap.eval import COCOEvalCap | |
from pycocotools.coco import COCO | |
def compute_cider( | |
result_path, | |
annotations_path, | |
): | |
# create coco object and coco_result object | |
coco = COCO(annotations_path) | |
coco_result = coco.loadRes(result_path) | |
# create coco_eval object by taking coco and coco_result | |
coco_eval = COCOEvalCap(coco, coco_result) | |
coco_eval.params["image_id"] = coco_result.getImgIds() | |
coco_eval.evaluate() | |
return coco_eval.eval | |
def postprocess_captioning_generation(predictions): | |
return predictions.split("Output", 1)[0] | |