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| import argparse | |
| import json | |
| import os | |
| import random | |
| import re | |
| def get_args(): | |
| parser = argparse.ArgumentParser() | |
| parser.add_argument("--base-dir", type=str) | |
| parser.add_argument("--result-file", type=str) | |
| parser.add_argument("--output-file", type=str) | |
| parser.add_argument("--output-result", type=str) | |
| parser.add_argument("--split", type=str, default="test") | |
| parser.add_argument("--options", type=list, default=["A", "B", "C", "D", "E"]) | |
| return parser.parse_args() | |
| def convert_caps(results): | |
| fakecaps = [] | |
| for result in results: | |
| image_id = result["question_id"] | |
| caption = result["text"] | |
| fakecaps.append({"image_id": int(image_id), "caption": caption}) | |
| return fakecaps | |
| def get_pred_idx(prediction, choices, options): | |
| """ | |
| Get the index (e.g. 2) from the prediction (e.g. 'C') | |
| """ | |
| if prediction in options[: len(choices)]: | |
| return options.index(prediction) | |
| else: | |
| return random.choice(range(len(choices))) | |
| if __name__ == "__main__": | |
| args = get_args() | |
| base_dir = args.base_dir | |
| split_indices = json.load(open(os.path.join(base_dir, "pid_splits.json")))[ | |
| args.split | |
| ] | |
| problems = json.load(open(os.path.join(base_dir, "problems.json"))) | |
| predictions = [json.loads(line) for line in open(args.result_file)] | |
| predictions = {pred["question_id"]: pred for pred in predictions} | |
| split_problems = {idx: problems[idx] for idx in split_indices} | |
| results = {"correct": [], "incorrect": []} | |
| sqa_results = {} | |
| sqa_results["acc"] = None | |
| sqa_results["correct"] = None | |
| sqa_results["count"] = None | |
| sqa_results["results"] = {} | |
| sqa_results["outputs"] = {} | |
| for prob_id, prob in split_problems.items(): | |
| if prob_id not in predictions: | |
| continue | |
| pred = predictions[prob_id] | |
| pred_text = pred["text"] | |
| pattern = re.compile(r"The answer is ([A-Z]).") | |
| res = pattern.findall(pred_text) | |
| if len(res) == 1: | |
| answer = res[0] # 'A', 'B', ... | |
| else: | |
| answer = "FAILED" | |
| pred_idx = get_pred_idx(answer, prob["choices"], args.options) | |
| analysis = { | |
| "question_id": prob_id, | |
| "parsed_ans": answer, | |
| "ground_truth": args.options[prob["answer"]], | |
| "question": pred["prompt"], | |
| "pred": pred_text, | |
| "is_multimodal": "<image>" in pred["prompt"], | |
| } | |
| sqa_results["results"][prob_id] = get_pred_idx( | |
| answer, prob["choices"], args.options | |
| ) | |
| sqa_results["outputs"][prob_id] = pred_text | |
| if pred_idx == prob["answer"]: | |
| results["correct"].append(analysis) | |
| else: | |
| results["incorrect"].append(analysis) | |
| correct = len(results["correct"]) | |
| total = len(results["correct"]) + len(results["incorrect"]) | |
| print(f"Total: {total}, Correct: {correct}, Accuracy: {correct / total * 100:.2f}%") | |
| sqa_results["acc"] = correct / total * 100 | |
| sqa_results["correct"] = correct | |
| sqa_results["count"] = total | |
| with open(args.output_file, "w") as f: | |
| json.dump(results, f, indent=2) | |
| with open(args.output_result, "w") as f: | |
| json.dump(sqa_results, f, indent=2) | |