| | 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): |
| | |
| | all_prompt_variants = [ |
| | camera_front_camera_center, |
| | camera_back_camera_center, |
| | camera_left_camera_center, |
| | camera_right_camera_center, |
| | |
| | camera_front_object_center, |
| | camera_back_object_center, |
| | camera_left_object_center, |
| | camera_right_object_center, |
| | |
| | object_side_by_side_same_direction, |
| | object_side_by_side_opposite_direction, |
| | object_face_to_face, |
| | object_back_to_back, |
| | |
| | object_front, |
| | object_back, |
| | object_left, |
| | object_right, |
| | |
| | camera_two_objects_closer, |
| | camera_two_objects_farther, |
| | camera_two_objects_left, |
| | camera_two_objects_right, |
| | |
| | object_apart_0_5meter, |
| | object_apart_1meter, |
| | object_apart_1_5meter, |
| | object_apart_2meter, |
| | |
| | camera_1meter_away, |
| | camera_2meter_away, |
| | camera_3meter_away, |
| | camera_4meter_away, |
| | |
| | object_bigger_than1_2, |
| | object_higher_20cm, |
| | object_longer_50cm, |
| | object_wider_30cm, |
| | |
| | side_by_side_front, |
| | side_by_side_left, |
| | side_by_side_right, |
| | side_by_side_back, |
| | ] |
| | |
| | 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, 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): |
| | |
| | all_prompt_variants = [ |
| | camera_to_front_camera_center, |
| | camera_to_left_camera_center, |
| | camera_to_right_camera_center, |
| | camera_to_back_camera_center, |
| | |
| | camera_to_front_object_center, |
| | camera_to_left_object_center, |
| | camera_to_right_object_center, |
| | camera_to_back_object_center, |
| | |
| | object_insert_side_by_side_same_orientation, |
| | object_insert_side_by_side_opposite_orientation, |
| | object_insert_face_to_face, |
| | object_insert_back_to_back, |
| | |
| | object_insert_front_object_center, |
| | object_insert_left_object_center, |
| | object_insert_right_object_center, |
| | object_insert_behind_object_center, |
| | |
| | object_insert_front_camera_center, |
| | object_insert_left_camera_center, |
| | object_insert_right_camera_center, |
| | object_insert_behind_camera_center, |
| | |
| | objectmove_close_1meter, |
| | objectmove_far_1meter, |
| | objectmove_left_1meter, |
| | objectmove_right_1meter, |
| | |
| | camera_forward_1meter, |
| | camera_leftward_1meter, |
| | camera_rightward_1meter, |
| | camera_backward_1meter, |
| | |
| | object_make_12bigger, |
| | object_make_20cm_higher, |
| | object_make_50cm_longer, |
| | object_make_40cm_wider, |
| | ] |
| | |
| | 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, 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): |
| | |
| | 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, 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 |