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import random
from itertools import combinations
import numpy as np
from osdsynth.processor.prompt_utils import *
from osdsynth.processor.prompt_T2Ibench import *
from osdsynth.processor.prompt_ImageEditbench import *
from osdsynth.processor.prompt_CR import *
class T2IPromptGenerator:
def __init__(self, cfg, logger, device):
"""Initialize the class."""
self.cfg = cfg
self.logger = logger
self.device = device
self.vis = True
def evaluate_predicates_on_pairs(self, detections, n_conv=3, spatial_choice=-1):
# 全部是SpatialBench的prompt
all_prompt_variants = [
camera_front_camera_center, # 0
camera_back_camera_center, # 1
camera_left_camera_center, # 2
camera_right_camera_center, # 3
camera_front_object_center, # 4
camera_back_object_center, # 5
camera_left_object_center, # 6
camera_right_object_center, # 7
object_side_by_side_same_direction, # 8
object_side_by_side_opposite_direction, # 9
object_face_to_face, # 10
object_back_to_back, # 11
object_front, # 12
object_back, # 13
object_left, # 14
object_right, # 15
camera_two_objects_closer, # 16
camera_two_objects_farther, # 17
camera_two_objects_left, # 18
camera_two_objects_right, # 19
object_apart_0_5meter, # 20
object_apart_1meter, # 21
object_apart_1_5meter, # 22
object_apart_2meter, # 23
camera_1meter_away, # 24
camera_2meter_away, # 25
camera_3meter_away, # 26
camera_4meter_away, # 27
object_bigger_than1_2, # 28
object_higher_20cm, # 29
object_longer_50cm, # 30
object_wider_30cm, # 31
side_by_side_front, # 32
side_by_side_left, # 33
side_by_side_right, # 34
side_by_side_back, # 35
]
if spatial_choice != -1:
all_prompt_variants = [all_prompt_variants[spatial_choice]]
else:
raise ValueError("spatial_choice must not be -1 for T2Ibench")
if spatial_choice not in [0,1,2,3,4,5,6,7,24,25,26,27]:
all_combinations = list(combinations(range(len(detections)), 2))
random.shuffle(all_combinations)
selected_combinations = all_combinations[:3]
object_pairs = [(detections[i], detections[j]) for i, j in selected_combinations]
results = []
correct = 0
for A, B in object_pairs:
all_prompt_variants = [item for item in all_prompt_variants]
# selected_predicates_choices = random.sample(all_prompt_variants, n_conv)
selected_predicates_choices = random.sample(all_prompt_variants, len(all_prompt_variants))
for prompt_func in selected_predicates_choices:
res = prompt_func(A, B)
results.append((res, A, B, prompt_func.__name__))
correct = correct + 1 if res[2] else correct
score = res[3]
return results, correct, score
else:
A = detections[0]
results = []
correct = 0
all_prompt_variants = [item for item in all_prompt_variants]
selected_predicates_choices = random.sample(all_prompt_variants, len(all_prompt_variants))
for prompt_func in selected_predicates_choices:
res = prompt_func(A)
results.append((res, A, prompt_func.__name__))
correct = correct + 1 if res[2] else correct
score = res[3]
return results, correct, score
class ImageEditPromptGenerator:
def __init__(self, cfg, logger, device):
"""Initialize the class."""
self.cfg = cfg
self.logger = logger
self.device = device
self.vis = True
def evaluate_predicates_on_pairs(self, detections, n_conv=3, spatial_choice=-1):
# 全部是SpatialBench的prompt
all_prompt_variants = [
camera_to_front_camera_center, # 0
camera_to_left_camera_center, # 1
camera_to_right_camera_center, # 2
camera_to_back_camera_center, # 3
camera_to_front_object_center, # 4
camera_to_left_object_center, # 5
camera_to_right_object_center, # 6
camera_to_back_object_center, # 7
object_insert_side_by_side_same_orientation, # 8
object_insert_side_by_side_opposite_orientation, # 9
object_insert_face_to_face, # 10
object_insert_back_to_back, # 11
object_insert_front_object_center, # 12
object_insert_left_object_center, # 13
object_insert_right_object_center, # 14
object_insert_behind_object_center, # 15
object_insert_front_camera_center, # 16
object_insert_left_camera_center, # 17
object_insert_right_camera_center, # 18
object_insert_behind_camera_center, # 19
objectmove_close_1meter, # 20
objectmove_far_1meter, # 21
objectmove_left_1meter, # 22
objectmove_right_1meter, # 23
camera_forward_1meter, # 24
camera_leftward_1meter, # 25
camera_rightward_1meter, # 26
camera_backward_1meter, # 27
object_make_12bigger, # 28
object_make_20cm_higher, # 29
object_make_50cm_longer, # 30
object_make_40cm_wider, # 31
]
if spatial_choice != -1:
all_prompt_variants = [all_prompt_variants[spatial_choice]]
else:
raise ValueError("spatial_choice must not be -1 for T2Ibench")
if spatial_choice not in [0,1,2,3,4,5,6,7,20,21,22,23,24,25,26,27,28,29,30,31]:
object_pairs = [(detections[0], detections[1])]
results = []
correct = 0
for A, B in object_pairs:
all_prompt_variants = [item for item in all_prompt_variants]
# selected_predicates_choices = random.sample(all_prompt_variants, n_conv)
selected_predicates_choices = random.sample(all_prompt_variants, len(all_prompt_variants))
for prompt_func in selected_predicates_choices:
res = prompt_func(A, B)
results.append((res, A, B, prompt_func.__name__))
correct = correct + 1 if res[2] else correct
score = res[3]
return results, correct, score
else:
A = detections[0]
results = []
correct = 0
all_prompt_variants = [item for item in all_prompt_variants]
selected_predicates_choices = random.sample(all_prompt_variants, len(all_prompt_variants))
for prompt_func in selected_predicates_choices:
res = prompt_func(A)
results.append((res, A, prompt_func.__name__))
correct = correct + 1 if res[2] else correct
score = res[3]
return results, correct, score
class CRPromptGenerator:
def __init__(self, cfg, logger, device):
"""Initialize the class."""
self.cfg = cfg
self.logger = logger
self.device = device
self.vis = True
def evaluate_predicates_on_pairs(self, detections, is_three=False, spatial_choice=-1):
# 全部是SpatialBench的prompt
all_prompt_variants_two = [
CR_two_front,
CR_two_back,
CR_two_left,
CR_two_right,
]
all_prompt_variants_three = [
CR_three_front,
CR_three_back,
CR_three_left,
CR_three_right,
]
A = detections[0]
B = detections[1]
if is_three:
C = detections[2]
all_prompt_variants = all_prompt_variants_three
else:
C = None
all_prompt_variants = all_prompt_variants_two
if spatial_choice != -1:
all_prompt_variants = [all_prompt_variants[spatial_choice]]
else:
raise ValueError("spatial_choice must not be -1 for T2Ibench")
results = []
correct = 0
all_prompt_variants = [item for item in all_prompt_variants]
# selected_predicates_choices = random.sample(all_prompt_variants, n_conv)
selected_predicates_choices = random.sample(all_prompt_variants, len(all_prompt_variants))
prompt_func = selected_predicates_choices[0]
if is_three:
res = prompt_func(A, B, C)
results.append((res, A, B, C, prompt_func.__name__))
else:
res = prompt_func(A, B)
results.append((res, A, B, prompt_func.__name__))
correct = correct + 1 if res[2] else correct
score = res[3]
return results, correct, score |