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8465227839
* Update cpp_run.bat Update wget in bat * Update py_run.bat Update wget in bat file * Update release task bat script && Add download.py * Update release task script
102 lines
3.7 KiB
Python
102 lines
3.7 KiB
Python
import numpy as np
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import re
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def parse_arguments():
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import argparse
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parser = argparse.ArgumentParser()
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parser.add_argument(
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"--gt_path",
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type=str,
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required=True,
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help="Path of ground truth result path.")
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parser.add_argument(
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"--result_path",
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type=str,
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required=True,
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help="Path of inference result path.")
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parser.add_argument(
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"--platform", type=str, required=True, help="Testcase platform.")
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parser.add_argument(
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"--device", type=str, required=True, help="Testcase device.")
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parser.add_argument(
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"--conf_threshold",
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type=float,
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required=False,
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default=0,
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help="The threshold to filter inference result.")
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args = parser.parse_args()
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return args
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def convert2numpy(result_file, conf_threshold):
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result = []
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with open(result_file, "r+") as f:
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for line in f.readlines():
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data = re.findall(r"\d+\.?\d*", line)
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if len(data) == 6:
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if float(data[-2]) < conf_threshold:
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continue
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else:
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result.append([float(num) for num in data])
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return np.array(result)
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def write2file(error_file):
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import os
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if not os.path.exists(error_file):
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with open(error_file, "w+") as f:
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f.write("Failed Cases:\n")
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with open(error_file, "a+") as f:
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from platform import python_version
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py_version = python_version()
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f.write(args.platform + " " + py_version + " " +
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args.result_path.split(".")[0] + "\n")
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def save_numpy_result(file_path, error_msg):
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np.savetxt(file_path, error_msg, fmt='%f', delimiter=',')
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def check_result(gt_result, infer_result, args):
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if len(gt_result) != len(infer_result):
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infer_result = infer_result[-len(gt_result):]
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diff = np.abs(gt_result - infer_result)
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label_diff = diff[:, -1]
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score_diff = diff[:, -2]
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boxes_diff = diff[:, :-2]
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boxes_diff_ratio = boxes_diff / (infer_result[:, :-2] + 1e-6)
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is_diff = False
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backend = args.result_path.split(".")[0]
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if (label_diff > 0).any():
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print(args.platform, args.device, "label diff ", label_diff)
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is_diff = True
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label_diff_bool_file = args.platform + "_" + backend + "_" + "label_diff_bool.txt"
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save_numpy_result(label_diff_bool_file, label_diff > 0)
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if (score_diff > 2e-4).any():
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print(args.platform, args.device, "score diff ", score_diff)
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is_diff = True
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score_diff_bool_file = args.platform + "_" + backend + "_" + "score_diff_bool.txt"
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save_numpy_result(score_diff_bool_file, score_diff > 1e-4)
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if (boxes_diff_ratio > 1e-4).any() and (boxes_diff > 1e-3).any():
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print(args.platform, args.device, "boxes diff ", boxes_diff_ratio)
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is_diff = True
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boxes_diff_bool_file = args.platform + "_" + backend + "_" + "boxes_diff_bool.txt"
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boxes_diff_ratio_file = args.platform + "_" + backend + "_" + "boxes_diff_ratio.txt"
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boxes_diff_ratio_bool_file = args.platform + "_" + backend + "_" + "boxes_diff_ratio_bool"
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save_numpy_result(boxes_diff_bool_file, boxes_diff > 1e-3)
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save_numpy_result(boxes_diff_ratio_file, boxes_diff_ratio)
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save_numpy_result(boxes_diff_ratio_bool_file, boxes_diff_ratio > 1e-4)
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if is_diff:
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write2file("result.txt")
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else:
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print(args.platform, args.device, "No diff")
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if __name__ == '__main__':
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args = parse_arguments()
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gt_numpy = convert2numpy(args.gt_path, args.conf_threshold)
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infer_numpy = convert2numpy(args.result_path, args.conf_threshold)
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check_result(gt_numpy, infer_numpy, args)
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