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import json
# with open('/home/aiops/wangzh/data/RGBD-benchmark/annotations.json', 'r') as reader1, open('/home/aiops/wangzh/llava-spat/llava-v1.5-7b-final-neg-lora_answers.txt', 'r') as reader2:
# with open('/home/aiops/wangzh/data/blink/BLINK/Counting/output.json', 'r') as reader1, open('/home/aiops/wangzh/llava-spat/llava-v1.5-7b-final-neg-lora_answers.txt', 'r') as reader2:
# with open('/home/aiops/wangzh/data/blink/BLINK/Relative_Depth/output.json', 'r') as reader1, open('/home/aiops/wangzh/llava-spat/llava-v1.5-7b-final-neg-lora_answers.txt', 'r') as reader2:
# with open('/home/aiops/wangzh/data/blink/BLINK/Spatial_Relation/output.json', 'r') as reader1, open('/home/aiops/wangzh/llava-spat/llava-v1.5-13b-final-neg-lora_answers.txt', 'r') as reader2:
# with open('/home/aiops/wangzh/data/blink/BLINK/Visual_Correspondence/output.json', 'r') as reader1, open('/home/aiops/wangzh/llava-spat/llava-v1.5-13b-final-neg-lora_answers.txt', 'r') as reader2:
# with open('/home/aiops/wangzh/data/blink/BLINK/Multi-view_Reasoning/output.json', 'r') as reader1, open('/home/aiops/wangzh/llava-spat/llava-v1.5-7b-final-neg-lora_answers.txt', 'r') as reader2:
# with open('/home/aiops/wangzh/data/blink/BLINK/Object_Localization/output.json', 'r') as reader1, open('/home/aiops/wangzh/llava-spat/llava-v1.5-13b-final-neg-lora_answers.txt', 'r') as reader2:
# with open('/home/aiops/wangzh/data/blink/BLINK/Jigsaw/output.json', 'r') as reader1, open('/home/aiops/wangzh/llava-spat/llava-v1.5-7b-final-neg-lora_answers.txt', 'r') as reader2:
with open('/home/aiops/wangzh/data/CV-Bench/test3d.jsonl', 'r') as reader1, open('/home/aiops/wangzh/llava-spat/llava-v1.5-7b-final-neg-lora_answers.txt', 'r') as reader2:
# with open('/home/aiops/wangzh/data/CV-Bench/test3d.jsonl', 'r') as reader1, open('/home/aiops/wangzh/llava-spat/llava-v1.5-7b-final-neg-lora_answers.txt', 'r') as reader2:
#
# with open('/home/aiops/wangzh/data/blink/BLINK/Spatial_Relation/output.json', 'r') as reader1, open('/home/aiops/wangzh/llava-spat/llava-v1.5-7b-final-neg-lora_answers.txt', 'r') as reader2:
# with open('/home/aiops/wangzh/data/RGBD-benchmark/out_doors/all.json', 'r') as reader1, open('/home/aiops/wangzh/llava-spat/llava-v1.5-7b-final-neg-lora_answers.txt', 'r') as reader2:
# with open('/home/aiops/wangzh/data/RGBD-benchmark/out_doors/all.json', 'r') as reader1, open('/home/aiops/wangzh/llava-spat/gpt4o-outdoor.txt', 'r') as reader2:
# with open('/home/aiops/wangzh/data/scanner/indoor-new/all.json', 'r') as reader1, open('/home/aiops/wangzh/llava-spat/gemini-indoor.txt', 'r') as reader2:
# with open('/home/aiops/wangzh/data/scanner/indoor-new/all.json', 'r') as reader1, open('/home/aiops/wangzh/llava-spat/gemini-indoor.txt', 'r') as reader2:
# with open('/home/aiops/wangzh/data/realworldqa/updated.json', 'r') as reader1, open('/home/aiops/wangzh/llava-spat/llava-v1.5-7b-final-neg-lora_answers.txt', 'r') as reader2:
# with open('/home/aiops/wangzh/data/RGBD-benchmark/out_doors/object_orientation.json', 'r') as reader1, open('/home/aiops/wangzh/llava-spat/llava-v1.5-7b-final-neg-lora_answers.txt', 'r') as reader2:
# with open('/home/aiops/wangzh/data/RGBD-benchmark/out_doors/relative_depth.json', 'r') as reader1, open('/home/aiops/wangzh/llava-spat/llava-v1.5-7b-final-neg-lora_answers.txt', 'r') as reader2:
# with open('/home/aiops/wangzh/data/RGBD-benchmark/out_doors/relative_size.json', 'r') as reader1, open('/home/aiops/wangzh/llava-spat/llava-v1.5-7b-final-neg-lora_answers.txt', 'r') as reader2:
# with open('/home/aiops/wangzh/data/RGBD-benchmark/out_doors/relative_spatial_position.json', 'r') as reader1, open('/home/aiops/wangzh/llava-spat/llava-v1.5-7b-final-neg-lora_answers.txt', 'r') as reader2:
# with open('/home/aiops/wangzh/data/scanner/indoor/none_spatial.json', 'r') as reader1, open('/home/aiops/wangzh/llava-spat/llava-v1.5-7b-final-neg-lora_answers.txt', 'r') as reader2:
# with open('/home/aiops/wangzh/data/scanner/indoor/orientation.json', 'r') as reader1, open('/home/aiops/wangzh/llava-spat/llava-v1.5-7b-final-neg-lora_answers.txt', 'r') as reader2:
# with open('/home/aiops/wangzh/data/scanner/indoor/relative_depth.json', 'r') as reader1, open('/home/aiops/wangzh/llava-spat/llava-v1.5-7b-final-neg-lora_answers.txt', 'r') as reader2:
# with open('/home/aiops/wangzh/data/scanner/indoor/relative_size.json', 'r') as reader1, open('/home/aiops/wangzh/llava-spat/llava-v1.5-7b-final-neg-lora_answers.txt', 'r') as reader2:
# with open('/home/aiops/wangzh/data/scanner/indoor/spatial_relation.json', 'r') as reader1, open('/home/aiops/wangzh/llava-spat/llava-v1.5-7b-final-neg-lora_answers.txt', 'r') as reader2:
# reader1 = json.load(reader1)
correct = 0
total = 0
for index, (line1, line2) in enumerate(zip(reader1, reader2), 1):
total += 1
answer = line2.strip()
# ground_truth = line1['answer']
ground_truth = json.loads(line1.strip())['answer']
# length = len(ground_truth)
flag = False
# choices = json.loads(line1.strip())['choices']
# if ground_truth in answer:
# correct += 1
# import pdb;pdb.set_trace()
# if ('A' in answer) and ('B' in answer) and ('C' in answer) and ('D' in answer):
# print('missed',index)
# continue
# if ground_truth == '(A)':
# if 'left' in answer:
# correct += 1
# print("yes",index)
# elif ground_truth == '(B)':
# if 'right' in answer:
# correct += 1
# print("yes",index)
# if ground_truth == '(A)':
# if 'second' in answer:
# correct += 1
# print("yes",index)
# elif ground_truth == '(B)':
# if 'third' in answer:
# correct += 1
# print("yes",index)
# count_sed = answer.count('sed')
# count_tird = answer.count('tird')
# if ground_truth == 0:
# if ('A' in answer) :
# correct += 1
# print("yes",index)
# elif ground_truth == 1:
# if ('B' in answer) :
# correct += 1
# print("yes",index)
# elif ground_truth == 2:
# if ('C' in answer) :
# correct += 1
# print("yes",index)
# elif ground_truth == 3:
# if ('D' in answer) :
# correct += 1
# print("yes",index)
# if ground_truth == answer:
# correct += 1
# print("yes",index)
if ground_truth == '(A)':
if 'A' in answer :
correct += 1
print("yes",index)
elif ground_truth == '(B)':
if 'B' in answer:
correct += 1
print("yes",index)
elif ground_truth == '(C)':
if 'C' in answer:
correct += 1
print("yes",index)
elif ground_truth == '(D)':
if 'D' in answer:
correct += 1
print("yes",index)
# if ground_truth == '(A)':
# if choices[2] in answer:
# correct += 1
# print("yes",index)
# elif ground_truth == '(B)':
# if choices[6] in answer:
# correct += 1
# print("yes",index)
# elif ground_truth == '(C)':
# if choices[10] in answer:
# correct += 1
# print("yes",index)
# elif ground_truth == '(D)':
# if choices[14] in answer:
# correct += 1
# print("yes",index)
print("correct =", correct)
print("total =", total)
print("acc =",correct/total)
# correct = 0
# total = 0
# for index, (line1, line2) in enumerate(zip(reader1, reader2), 1):
# total += 1
# answer = line2.strip()
# ground_truth = json.loads(line1.strip())['answer'].strip(".")[0]
# length = len(ground_truth)
# flag = False
# import pdb;pdb.set_trace()
# if length == 1 and ground_truth.isalpha():
# flag = True
# answer = answer.split(".")[0]
# elif length == 2 or length == 3:
# flag = True
# answer = answer.split(",")[0]
# if flag:
# if answer.lower() == ground_truth.lower():
# correct += 1
# else:
# print("->", index)
# print("correct =", correct)
# print("total =", total) |