leon/ymj_bim_test
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还原0.6 和 0.5的阈值参数

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leon 2025-02-28 09:43:23 +08:00
parent 3a4ba72304
commit 60985d84bc
1 changed files with 7 additions and 10 deletions
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17
search.py
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@ -473,8 +473,8 @@ if __name__ == "__main__":
score += (1 - abs(tmp_sum_r - sum_r) / sub_roi_width) * 0.25
score += (1 - abs(tmp_sum_theta - sum_theta) / 3.14) * 0.25
if score > 0.0: #????
print("11111111111111111111", str(score))
print("score=======", str(score))
if score > 0.6: #????
cartesian_points1 = polar_to_cartesian(np.asarray(tmp_polar_list))
cartesian_points2 = polar_to_cartesian(np.asarray(polar_list))
sc1 = compute_shape_context(cartesian_points1)
@ -488,20 +488,17 @@ if __name__ == "__main__":
param['match_score'] = match_score
if min_match_score > match_score:
min_match_score = match_score
# rst_params.append(param)
times += 1
if times == 3:
rst_params.append(param)
break
rst_params.append(param)
# 预埋件匹配
for i, param in enumerate(rst_params):
score = param["score"]
match_score = param["match_score"]
print(f"[match_score] ====== [{match_score}]")
id = param["code"]
# if min_match_score == match_score or match_score < 0.5: #????
if True:
if min_match_score == match_score or match_score < 0.5: #????
# if True:
index_list = []
for j in range(len(param['effective_points'])):
pt = param['effective_points'][j]