A Pocket-Sized MLLM for Ultra-Efficient Image and Video Understanding on Your Phone
This report presents the forensic synthetic code analysis of OpenBMB/MiniCPM-V, a Python project with 25,879 GitHub stars. SynthScan v2.0 examined 58,173 lines of code across 225 source files, recording 623 pattern matches distributed across 14 syntactic categories. The overall adjusted score of 11.6 places this repository in the Low AI signal band.
The scanner applied 160+ deterministic lexical heuristics, multi-line block detectors, abstract syntax tree depth profilers, and a cross-file Jaccard similarity matrix to construct a statistically normalised synthetic code estimate. All matches are individually weighted by severity coefficient and contextual multiplier before summation, and the resulting headline score is temporally discounted to account for the repository's development history relative to the commercial emergence of large language model coding tooling (November 2022 onward).
This chart maps the temporal evolution of the adjusted synthetic code score across successive scan runs. An upward trajectory indicates ongoing incorporation of AI-generated code or expanding LLM-assisted scaffolding; a stable or declining trajectory may reflect active human refactoring, code removal, or the adoption of stricter authorship policies. The dashed secondary line (right axis) independently tracks total raw pattern hit count, which can diverge from the normalised score when codebase size changes significantly between scans.
Classifies detected patterns by their diagnostic confidence and structural impact. CRITICAL patterns (coefficient 10) represent definitive synthetic signatures — hallucinated imports, explicit LLM attribution metadata — virtually never produced by human authors. HIGH (5) indicates strong structural tells such as cross-file repetition or cross-linguistic idioms. MEDIUM (2) covers recognisable conversational padding and AI-specific vocabulary. LOW (1) captures subtle indicators like tautological comments and generic boilerplate that require density to carry independent signal.
This horizontal bar chart decomposes the repository's raw synthetic code score by top-level directory, allowing you to pinpoint precisely which modules or components carry the highest AI authorship density. Directories with disproportionately high scores relative to their size warrant targeted manual review: concentrated AI signatures often trace back to mass-generated configuration layers, auto-ported test suites, LLM-scaffolded boilerplate classes, or entire subsystems authored under heavy copilot assistance. Use this view to prioritise your human code-review effort.
The scanner identified 623 distinct pattern matches across 14 syntactic categories. Each entry below represents a discrete location in the source code where the engine recorded a statistically significant AI authorship indicator. Expand any category row to inspect the individual file paths, line numbers, code snippets, and the lexical context (CODE, COMMENT, or STRING) in which each match was detected.
Reading the findings table: The Severity column indicates the diagnostic confidence level (CRITICAL / HIGH / MEDIUM / LOW). The Context column identifies whether the match occurred inside executable code, an inline comment, or a string literal — comment-context matches receive a ×1.5 weight because LLMs systematically over-annotate. The ⚡ bolt icon marks clustered matches: three or more patterns within a 10-line window, each receiving an additional ×1.5 density multiplier as dense clusters constitute far stronger evidence of synthetic authorship than isolated hits.
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | web_demos/web_demo_2.6.py | 9 | CODE | |
| LOW | web_demos/web_demo_2.6.py | 12 | CODE | |
| LOW | web_demos/web_demo_2.6.py | 13 | CODE | |
| LOW | web_demos/web_demo_2.6.py | 14 | CODE | |
| LOW | web_demos/minicpm-o_2.6/model_server.py | 12 | CODE | |
| LOW | web_demos/minicpm-o_2.6/model_server.py | 17 | CODE | |
| LOW | web_demos/minicpm-o_2.6/chatbot_web_demo_o2.6.py | 9 | CODE | |
| LOW | web_demos/minicpm-o_2.6/chatbot_web_demo_o2.6.py | 12 | CODE | |
| LOW | web_demos/minicpm-o_2.6/chatbot_web_demo_o2.6.py | 13 | CODE | |
| LOW | web_demos/minicpm-o_2.6/chatbot_web_demo_o2.6.py | 14 | CODE | |
| LOW | finetune/dataset.py | 2 | CODE | |
| LOW | finetune/dataset.py | 5 | CODE | |
| LOW | finetune/dataset.py | 8 | CODE | |
| LOW | finetune/dataset.py | 8 | CODE | |
| LOW | finetune/dataset.py | 9 | CODE | |
| LOW | finetune/dataset.py | 9 | CODE | |
| LOW | finetune/dataset.py | 16 | CODE | |
| LOW | finetune/dataset.py | 16 | CODE | |
| LOW | finetune/trainer.py | 4 | CODE | |
| LOW | finetune/trainer.py | 8 | CODE | |
| LOW | finetune/trainer.py | 9 | CODE | |
| LOW | finetune/finetune.py | 1 | CODE | |
| LOW | finetune/finetune.py | 7 | CODE | |
| LOW | finetune/finetune.py | 7 | CODE | |
| LOW | finetune/finetune.py | 14 | CODE | |
| LOW | finetune/finetune.py | 15 | CODE | |
| LOW | omnilmm/conversation.py | 3 | CODE | |
| LOW | omnilmm/utils.py | 1 | CODE | |
| LOW | omnilmm/model/__init__.py | 1 | CODE | |
| LOW | omnilmm/model/resampler.py | 6 | CODE | |
| LOW | omnilmm/model/resampler.py | 8 | CODE | |
| LOW | omnilmm/model/resampler.py | 9 | CODE | |
| LOW | omnilmm/model/resampler.py | 11 | CODE | |
| LOW | omnilmm/model/resampler.py | 12 | CODE | |
| LOW | omnilmm/model/resampler.py | 12 | CODE | |
| LOW | omnilmm/model/resampler.py | 12 | CODE | |
| LOW | omnilmm/model/resampler.py | 12 | CODE | |
| LOW | omnilmm/model/resampler.py | 12 | CODE | |
| LOW | omnilmm/model/resampler.py | 12 | CODE | |
| LOW | omnilmm/model/resampler.py | 19 | CODE | |
| LOW | omnilmm/model/resampler.py | 20 | CODE | |
| LOW | omnilmm/train/train_utils.py | 1 | CODE | |
| LOW | omnilmm/train/train_utils.py | 2 | CODE | |
| LOW | omnilmm/train/train_utils.py | 4 | CODE | |
| LOW | omnilmm/train/train_utils.py | 6 | CODE | |
| LOW | omnilmm/train/train_utils.py | 12 | CODE | |
| LOW | omnilmm/train/train_utils.py | 13 | CODE | |
| LOW | eval_mm/vlmevalkit/run.py | 10 | CODE | |
| LOW | eval_mm/vlmevalkit/vlmeval/config.py | 1 | CODE | |
| LOW | eval_mm/vlmevalkit/vlmeval/config.py | 2 | CODE | |
| LOW | eval_mm/vlmevalkit/vlmeval/tools.py | 3 | CODE | |
| LOW | eval_mm/vlmevalkit/vlmeval/tools.py | 4 | CODE | |
| LOW | eval_mm/vlmevalkit/vlmeval/__init__.py | 6 | CODE | |
| LOW | eval_mm/vlmevalkit/vlmeval/__init__.py | 7 | CODE | |
| LOW | eval_mm/vlmevalkit/vlmeval/__init__.py | 8 | CODE | |
| LOW | eval_mm/vlmevalkit/vlmeval/__init__.py | 9 | CODE | |
| LOW | eval_mm/vlmevalkit/vlmeval/__init__.py | 10 | CODE | |
| LOW | eval_mm/vlmevalkit/vlmeval/__init__.py | 11 | CODE | |
| LOW | eval_mm/vlmevalkit/vlmeval/__init__.py | 12 | CODE | |
| LOW | eval_mm/vlmevalkit/vlmeval/__init__.py | 2 | CODE | |
| 196 more matches not shown… | ||||
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | chat.py | 223 | CODE | |
| LOW | web_demos/minicpm-o_2.6/model_server.py | 660 | CODE | |
| LOW | web_demos/minicpm-o_2.6/model_server.py | 884 | CODE | |
| LOW | web_demos/minicpm-o_2.6/model_server.py | 144 | CODE | |
| LOW | web_demos/minicpm-o_2.6/model_server.py | 206 | CODE | |
| LOW | web_demos/minicpm-o_2.6/model_server.py | 312 | CODE | |
| LOW | web_demos/minicpm-o_2.6/model_server.py | 385 | CODE | |
| LOW | web_demos/minicpm-o_2.6/model_server.py | 416 | CODE | |
| LOW | web_demos/minicpm-o_2.6/model_server.py | 489 | CODE | |
| LOW | web_demos/minicpm-o_2.6/vad_utils.py | 102 | CODE | |
| LOW | finetune/dataset.py | 232 | CODE | |
| LOW | finetune/dataset.py | 272 | CODE | |
| LOW | finetune/dataset.py | 321 | CODE | |
| LOW | finetune/dataset.py | 438 | CODE | |
| LOW | finetune/trainer.py | 45 | CODE | |
| LOW | omnilmm/conversation.py | 26 | CODE | |
| LOW | omnilmm/conversation.py | 54 | CODE | |
| LOW | omnilmm/conversation.py | 110 | CODE | |
| LOW | omnilmm/model/omnilmm.py | 123 | CODE | |
| LOW | omnilmm/model/omnilmm.py | 184 | CODE | |
| LOW | eval_mm/vlmevalkit/run.py | 150 | CODE | |
| LOW | eval_mm/vlmevalkit/setup.py | 7 | CODE | |
| LOW | eval_mm/vlmevalkit/setup.py | 24 | CODE | |
| LOW | eval_mm/vlmevalkit/setup.py | 57 | CODE | |
| LOW | eval_mm/vlmevalkit/setup.py | 65 | CODE | |
| LOW | eval_mm/vlmevalkit/vlmeval/tools.py | 268 | CODE | |
| LOW | eval_mm/vlmevalkit/vlmeval/tools.py | 327 | CODE | |
| LOW | eval_mm/vlmevalkit/vlmeval/tools.py | 391 | CODE | |
| LOW | eval_mm/vlmevalkit/vlmeval/inference_video.py | 51 | CODE | |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/image_base.py | 105 | CODE | |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/mmmath.py | 51 | CODE | |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/mmmath.py | 207 | CODE | |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/mmmath.py | 284 | CODE | |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/mmmath.py | 318 | CODE | |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/mmmath.py | 320 | CODE | |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/mmlongbench.py | 112 | CODE | |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/mmlongbench.py | 264 | CODE | |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/mmlongbench.py | 297 | CODE | |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/mmlongbench.py | 460 | CODE | |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/videomme.py | 9 | CODE | |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/videomme.py | 60 | CODE | |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/videomme.py | 186 | CODE | |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/videomme.py | 227 | CODE | |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/videomme.py | 81 | CODE | |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/dynamath.py | 37 | CODE | |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/dynamath.py | 63 | CODE | |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/image_vqa.py | 48 | CODE | |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/image_vqa.py | 149 | CODE | |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/image_vqa.py | 537 | CODE | |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/image_vqa.py | 939 | CODE | |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/image_vqa.py | 968 | CODE | |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/image_vqa.py | 1149 | CODE | |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/image_vqa.py | 1205 | CODE | |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/image_vqa.py | 1323 | CODE | |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/image_yorn.py | 26 | CODE | |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/longvideobench.py | 106 | CODE | |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/longvideobench.py | 271 | CODE | |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/slidevqa.py | 95 | CODE | |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/mlvu.py | 210 | CODE | |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/mmbench_video.py | 11 | CODE | |
| 74 more matches not shown… | ||||
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | chat.py | 119 | except Exception as e: | CODE |
| LOW | chat.py | 148 | except Exception as e: | CODE |
| LOW | chat.py | 172 | except Exception as e: | CODE |
| LOW | chat.py | 228 | except Exception as e: | CODE |
| MEDIUM | chat.py | 116 | def chat(self, input): | CODE |
| MEDIUM | chat.py | 145 | def chat(self, input): | CODE |
| MEDIUM | chat.py | 169 | def chat(self, input): | CODE |
| MEDIUM | web_demos/web_demo_2.6.py | 40 | print('Error: running int4 model with bitsandbytes on Mac is not supported right now.') | CODE |
| LOW | web_demos/web_demo_2.6.py | 147 | except Exception as e: | CODE |
| MEDIUM | web_demos/web_demo_2.6.py | 131 | def chat(img, msgs, ctx, params=None, vision_hidden_states=None): | CODE |
| MEDIUM | web_demos/web_demo_2.5.py | 30 | print('Error: running int4 model with bitsandbytes on Mac is not supported right now.') | CODE |
| LOW | web_demos/web_demo_2.5.py | 154 | except Exception as err: | CODE |
| LOW | web_demos/web_demo.py | 162 | except Exception as err: | CODE |
| MEDIUM | web_demos/minicpm-o_2.6/model_server.py | 290 | def clear(self): | CODE |
| MEDIUM | web_demos/minicpm-o_2.6/model_server.py | 385 | def vad_check_audio_bytes(self, audio, image, sr): | CODE |
| LOW | web_demos/minicpm-o_2.6/model_server.py | 308 | except Exception as e: | CODE |
| LOW | web_demos/minicpm-o_2.6/model_server.py | 370 | except Exception as e: | CODE |
| LOW | web_demos/minicpm-o_2.6/model_server.py | 373 | except Exception as e: | CODE |
| LOW | web_demos/minicpm-o_2.6/model_server.py | 411 | except Exception as e: | CODE |
| LOW | web_demos/minicpm-o_2.6/model_server.py | 476 | except Exception as e: | CODE |
| LOW | web_demos/minicpm-o_2.6/model_server.py | 548 | except Exception as e: | CODE |
| LOW | web_demos/minicpm-o_2.6/model_server.py | 552 | except Exception as e: | CODE |
| LOW | web_demos/minicpm-o_2.6/model_server.py | 590 | except Exception as e: | CODE |
| LOW | web_demos/minicpm-o_2.6/model_server.py | 655 | except Exception as e: | CODE |
| LOW | web_demos/minicpm-o_2.6/model_server.py | 723 | except Exception as e: | CODE |
| LOW | web_demos/minicpm-o_2.6/model_server.py | 730 | except Exception as e: | CODE |
| LOW | web_demos/minicpm-o_2.6/model_server.py | 770 | except Exception as e: | CODE |
| LOW | web_demos/minicpm-o_2.6/model_server.py | 773 | except Exception as e: | CODE |
| LOW | web_demos/minicpm-o_2.6/model_server.py | 818 | except Exception as e: | CODE |
| LOW | web_demos/minicpm-o_2.6/model_server.py | 877 | except Exception as e: | CODE |
| LOW | web_demos/minicpm-o_2.6/model_server.py | 925 | except Exception as e: | CODE |
| LOW | web_demos/minicpm-o_2.6/chatbot_web_demo_o2.6.py | 142 | except Exception as e: | CODE |
| MEDIUM | web_demos/minicpm-o_2.6/chatbot_web_demo_o2.6.py | 126 | def chat(img, msgs, ctx, params=None, vision_hidden_states=None): | CODE |
| LOW | web_demos/minicpm-o_2.6/vad_utils.py | 297 | except Exception as e: | CODE |
| LOW | eval_mm/vlmevalkit/run.py | 410 | except Exception as e: | STRING |
| LOW | eval_mm/vlmevalkit/vlmeval/inference_mt.py | 32 | except Exception as e: | CODE |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/mmlongbench.py | 137 | except Exception: | STRING |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/mmlongbench.py | 200 | except Exception as e: | STRING |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/mmlongbench.py | 464 | except Exception as e: | STRING |
| MEDIUM | eval_mm/vlmevalkit/vlmeval/dataset/mmlongbench.py | 187 | def isfloat(num): | CODE |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/video_base.py | 16 | except Exception as e: | CODE |
| MEDIUM | eval_mm/vlmevalkit/vlmeval/dataset/video_base.py | 9 | def __init__(self, | CODE |
| LOW⚡ | eval_mm/vlmevalkit/vlmeval/dataset/vcr.py | 20 | except Exception as e: | CODE |
| LOW⚡ | eval_mm/vlmevalkit/vlmeval/dataset/vcr.py | 26 | except Exception as e: | CODE |
| LOW⚡ | eval_mm/vlmevalkit/vlmeval/dataset/vcr.py | 34 | except Exception as e: | CODE |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/image_mt.py | 79 | except Exception as e: | CODE |
| LOW⚡ | eval_mm/vlmevalkit/vlmeval/dataset/cgbench.py | 409 | except Exception: | CODE |
| LOW⚡ | eval_mm/vlmevalkit/vlmeval/dataset/cgbench.py | 418 | except Exception: | CODE |
| LOW⚡ | eval_mm/vlmevalkit/vlmeval/dataset/cgbench.py | 427 | except Exception: | CODE |
| LOW⚡ | eval_mm/vlmevalkit/vlmeval/dataset/cgbench.py | 734 | except Exception: | CODE |
| LOW⚡ | eval_mm/vlmevalkit/vlmeval/dataset/cgbench.py | 743 | except Exception: | CODE |
| LOW⚡ | eval_mm/vlmevalkit/vlmeval/dataset/cgbench.py | 752 | except Exception: | CODE |
| LOW⚡ | eval_mm/vlmevalkit/vlmeval/dataset/cgbench.py | 1289 | except Exception: | CODE |
| LOW⚡ | eval_mm/vlmevalkit/vlmeval/dataset/cgbench.py | 1298 | except Exception: | CODE |
| LOW⚡ | eval_mm/vlmevalkit/vlmeval/dataset/cgbench.py | 1307 | except Exception: | CODE |
| LOW⚡ | eval_mm/vlmevalkit/vlmeval/dataset/cgbench.py | 1613 | except Exception: | CODE |
| LOW⚡ | eval_mm/vlmevalkit/vlmeval/dataset/cgbench.py | 1622 | except Exception: | CODE |
| LOW⚡ | eval_mm/vlmevalkit/vlmeval/dataset/cgbench.py | 1631 | except Exception: | CODE |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/mvbench.py | 168 | except Exception as e: | STRING |
| MEDIUM | eval_mm/vlmevalkit/vlmeval/dataset/mvbench.py | 169 | print(f"Error moving {item_path} to {target_path}: {e}") | STRING |
| 34 more matches not shown… | ||||
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | chat.py | 62 | def expand_question_into_multimodal(question_text, image_token_len, im_st_token, im_ed_token, im_patch_token): | CODE |
| LOW | chat.py | 71 | def wrap_question_for_omni_lmm(question, image_token_len, tokenizer): | CODE |
| LOW | web_demos/web_demo_2.6.py | 314 | def fewshot_add_demonstration(_image, _user_message, _assistant_message, _chat_bot, _app_cfg): | CODE |
| LOW | web_demos/web_demo_2.6.py | 385 | def regenerate_button_clicked(_question, _image, _user_message, _assistant_message, _chat_bot, _app_cfg, params_form): | CODE |
| LOW | web_demos/web_demo_2.5.py | 209 | def regenerate_button_clicked(_question, _chat_bot, _app_cfg, params_form, num_beams, repetition_penalty, repetition_pen | CODE |
| LOW | web_demos/web_demo.py | 217 | def regenerate_button_clicked(_question, _chat_bot, _app_cfg, params_form, num_beams, repetition_penalty, repetition_pen | CODE |
| LOW | web_demos/minicpm-o_2.6/model_server.py | 593 | def update_customized_options(self, uid, options): | CODE |
| LOW | web_demos/minicpm-o_2.6/chatbot_web_demo_o2.6.py | 309 | def fewshot_add_demonstration(_image, _user_message, _assistant_message, _chat_bot, _app_cfg): | CODE |
| LOW | web_demos/minicpm-o_2.6/chatbot_web_demo_o2.6.py | 380 | def regenerate_button_clicked(_question, _image, _user_message, _assistant_message, _chat_bot, _app_cfg, params_form): | CODE |
| LOW | finetune/dataset.py | 200 | def conversation_to_ids_minicpm(conversation, tokenizer): | CODE |
| LOW | finetune/finetune.py | 78 | def safe_save_model_for_hf_trainer(trainer, output_dir: str, bias="none"): | CODE |
| LOW | finetune/finetune.py | 84 | def make_supervised_data_module( | CODE |
| LOW | omnilmm/model/omnilmm.py | 75 | def initialize_vision_modules(self, vision_tower, no_randaug, num_query, image_size, tune_clip=False): | CODE |
| LOW | omnilmm/model/omnilmm.py | 350 | def prepare_inputs_for_generation( | CODE |
| LOW | omnilmm/model/omnilmm.py | 400 | def initialize_vision_tokenizer(self, mm_use_im_start_end, tokenizer, device, | CODE |
| LOW | omnilmm/model/utils.py | 483 | def is_dist_avail_and_initialized(): | CODE |
| LOW | eval_mm/vlmevalkit/run.py | 30 | def build_dataset_from_config(cfg, dataset_name): | CODE |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/mmmath.py | 47 | def trans_greater_sign_to_interval(self, expr:str): | CODE |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/longvideobench.py | 26 | def insert_subtitles_into_frames( | CODE |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/cmmmu.py | 10 | def get_multi_choice_prediction(response, all_choices, index2ans): | CODE |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/cmmmu.py | 108 | def get_fill_blank_prediction(response, answer): | CODE |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/mvbench.py | 281 | def load_into_video_and_process(self, line): | STRING |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/utils/tempcompass.py | 69 | def eval_rule_caption_matching(line): | STRING |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/utils/tempcompass.py | 203 | def evaluate_tempcompass_captioning(model, line): | STRING |
| LOW | …l_mm/vlmevalkit/vlmeval/dataset/utils/olympiadbench.py | 28 | def get_single_answer_type_text(answer_type, is_chinese): | CODE |
| LOW | …l_mm/vlmevalkit/vlmeval/dataset/utils/olympiadbench.py | 531 | def calculate_merged_accuracy(reference_dir, text_only): | CODE |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/utils/wemath.py | 44 | def evaluate_process_steps_data(df, steps): | CODE |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/utils/wemath.py | 61 | def evaluate_calculate_metrics(merged_2steps, merged_3steps): | CODE |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/utils/wemath.py | 128 | def evaluate_compute_final_scores(metrics, total_count): | CODE |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/utils/wemath.py | 159 | def evaluate_update_main_results_df(main_results_df, total_counts, rates): | CODE |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/utils/wemath.py | 237 | def load_knowledge_structure_nodes(filepath): | CODE |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/utils/wemath.py | 267 | def accuracy_process_steps_data(df, steps): | CODE |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/utils/wemath.py | 284 | def accuracy_update_main_results_df(nodes, main_results_df, concatenated_data, merged_2steps, merged_3steps): | CODE |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/utils/mlvu.py | 98 | def check_ans_with_model_summary(pred, gt, model, item, dataset_name='MLVU_OpenEnded'): | STRING |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/utils/mlvu.py | 132 | def check_ans_with_model_sub_scene(pred, gt, model, item, dataset_name='MLVU_OpenEnded'): | STRING |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/utils/cgbench.py | 87 | def get_dimention_rating_open_ended(data_path): | CODE |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/utils/cgbench.py | 128 | def get_dimention_rating_mcq_grouding(data_path): | CODE |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/utils/cgbench.py | 201 | def calculate_acc_at_iou_threshold(scores, threshold): | CODE |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/utils/cgbench.py | 243 | def calculate_rec_at_iou_threshold(scores, threshold): | CODE |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/utils/cgbench.py | 286 | def sample_frames_clue_average(clues_time_intervals, frame_num, fps): | CODE |
| LOW | …vlmeval/dataset/utils/ccocr_evaluator/kie_evaluator.py | 275 | def normalize_values_of_nested_dict(d, normalize_func): | CODE |
| LOW | …vlmeval/dataset/utils/ccocr_evaluator/kie_evaluator.py | 335 | def remove_unnecessary_spaces(text): | CODE |
| LOW | …vlmeval/dataset/utils/ccocr_evaluator/ocr_evaluator.py | 21 | def text_normalize_and_tokenize(text, is_keep_blank=True, is_lower=True, is_alphanum_only=False): | CODE |
| LOW | eval_mm/vlmevalkit/vlmeval/vlm/base.py | 169 | def message_to_promptvideo_withrole(self, message, dataset=None): | CODE |
| LOW⚡ | eval_mm/vlmevalkit/vlmeval/api/base.py | 197 | def preprocess_message_with_role(self, message): | CODE |
| LOW | eval_mm/vqaeval/models/MiniCPM/minicpmv.py | 56 | def generate_with_interleaved(self, images, questions, datasetname): | CODE |
| LOW | eval_mm/vqaeval/models/MiniCPM/minicpmv.py | 147 | def generate_with_interleaved(self, images, questions, datasetname): | CODE |
| LOW | eval_mm/vqaeval/models/MiniCPM/minicpmv.py | 256 | def generate_with_interleaved(self, images, questions, datasetname): | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | chat.py | 131 | CODE | |
| LOW | omnilmm/model/omnilmm.py | 121 | CODE | |
| LOW | omnilmm/model/omnilmm.py | 184 | CODE | |
| LOW | omnilmm/model/omnilmm.py | 283 | CODE | |
| LOW | omnilmm/model/utils.py | 115 | CODE | |
| LOW | omnilmm/model/utils.py | 139 | CODE | |
| LOW | omnilmm/model/utils.py | 150 | CODE | |
| LOW | omnilmm/model/utils.py | 160 | CODE | |
| LOW | omnilmm/model/utils.py | 182 | CODE | |
| LOW | omnilmm/model/utils.py | 195 | CODE | |
| LOW | omnilmm/model/utils.py | 205 | CODE | |
| LOW | omnilmm/model/utils.py | 235 | CODE | |
| LOW | omnilmm/model/utils.py | 246 | CODE | |
| LOW | omnilmm/model/utils.py | 257 | CODE | |
| LOW | omnilmm/model/utils.py | 265 | CODE | |
| LOW | omnilmm/model/utils.py | 273 | CODE | |
| LOW | eval_mm/vlmevalkit/vlmeval/inference_video.py | 48 | CODE | |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/mmlongbench.py | 420 | CODE | |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/vcr.py | 171 | CODE | |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/slidevqa.py | 53 | CODE | |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/cmmmu.py | 321 | CODE | |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/dude.py | 34 | CODE | |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/utils/mathvista.py | 164 | CODE | |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/utils/yorn.py | 42 | CODE | |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/utils/yorn.py | 88 | CODE | |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/utils/yorn.py | 140 | CODE | |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/utils/yorn.py | 182 | CODE | |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/utils/yorn.py | 204 | CODE | |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/utils/logicvista.py | 150 | CODE | |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/utils/mlvu.py | 107 | CODE | |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/utils/mlvu.py | 142 | CODE | |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/utils/mlvu.py | 165 | CODE | |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/utils/mathv.py | 171 | CODE | |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/utils/cgbench.py | 504 | CODE | |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/utils/cgbench.py | 530 | CODE | |
| LOW | …vlmeval/dataset/utils/ccocr_evaluator/kie_evaluator.py | 332 | CODE | |
| LOW | eval_mm/vlmevalkit/vlmeval/vlm/minicpm_v.py | 727 | CODE | |
| LOW | eval_mm/vlmevalkit/vlmeval/smp/misc.py | 161 | CODE | |
| LOW | eval_mm/vlmevalkit/vlmeval/smp/vlm.py | 93 | CODE | |
| LOW | eval_mm/vlmevalkit/vlmeval/smp/file.py | 175 | CODE | |
| LOW | eval_mm/vlmevalkit/vlmeval/api/gpt.py | 36 | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/mmmath.py | 98 | # Check if two < or > in expression | COMMENT |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/mmmath.py | 118 | # Check if elements in both lists can be paired and are equal | COMMENT |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/mmmath.py | 192 | # Check if two numerical values are equal within an allowed error range | COMMENT |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/mmmath.py | 208 | # Check if two expressions are mathematically equivalent | COMMENT |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/mmmath.py | 258 | # Check if two equations are mathematically equivalent | COMMENT |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/mmmath.py | 285 | # Check if two intervals are mathematically equivalent | COMMENT |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/videomme.py | 96 | # Check if the member is a file (not a directory) | STRING |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/videomme.py | 114 | # Check if the member is a file (not a directory) | STRING |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/image_mcq.py | 641 | # Check if dataset is cached and has integrity | COMMENT |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/utils/tempcompass.py | 154 | # Check if the chatgpt answer is the ground-truth answer | STRING |
| LOW⚡ | …l_mm/vlmevalkit/vlmeval/dataset/utils/olympiadbench.py | 475 | # Check if the expression is a power expression | COMMENT |
| LOW⚡ | …l_mm/vlmevalkit/vlmeval/dataset/utils/olympiadbench.py | 480 | # Check if the base and the exponent are numbers | COMMENT |
| LOW⚡ | …l_mm/vlmevalkit/vlmeval/dataset/utils/olympiadbench.py | 485 | # Check if the exponent is greater than the threshold | COMMENT |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/utils/cgbench.py | 320 | # Check if there is an overlap | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | README.md | 1629 | # Step 1: Streaming prefill | COMMENT |
| LOW | README.md | 1637 | # Step 2: Streaming generate | COMMENT |
| LOW⚡ | README.md | 1772 | # Step 1: Prefill system prompt | COMMENT |
| LOW⚡ | README.md | 1776 | # Step 2: Prefill omni chunks (is_last_chunk=True only for the last audio chunk) | COMMENT |
| LOW⚡ | README.md | 1785 | # Step 3: Generate response | COMMENT |
| LOW | README_zh.md | 1610 | # Step 1: Streaming prefill | COMMENT |
| LOW | README_zh.md | 1618 | # Step 2: Streaming generate | COMMENT |
| LOW⚡ | README_zh.md | 1753 | # Step 1: Prefill system prompt | COMMENT |
| LOW⚡ | README_zh.md | 1757 | # Step 2: Prefill omni chunks (is_last_chunk=True only for the last audio chunk) | COMMENT |
| LOW⚡ | README_zh.md | 1766 | # Step 3: Generate response | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| HIGH | eval_mm/vlmevalkit/vlmeval/dataset/utils/mathvista.py | 0 | please read the following example. then extract the answer from the model response and type it at the end of the prompt. | STRING |
| HIGH | eval_mm/vlmevalkit/vlmeval/dataset/utils/qspatial.py | 0 | please read the following example. then extract the answer from the model response and type it at the end of the prompt. | STRING |
| HIGH | eval_mm/vlmevalkit/vlmeval/dataset/utils/mathv.py | 0 | please read the following example. then extract the answer from the model response and type it at the end of the prompt. | STRING |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | …-o_2.6/web_server/src/components/ModelConfig/index.vue | 181 | base64Str: '' | COMMENT |
| LOW | …2.6/web_server/src/views/home/components/VideoCall.vue | 601 | }); | COMMENT |
| LOW | …eb_server/src/views/home/components/VoiceCall_0105.vue | 501 | // '截取前长度:', | COMMENT |
| LOW | …eb_server/src/views/home/components/VoiceCall_0105.vue | 521 | item().finally(() => playAudio()); | COMMENT |
| LOW | …eb_server/src/views/home/components/VideoCall_0105.vue | 561 | // skipDisabled.value = true; | COMMENT |
| LOW | …eb_server/src/views/home/components/VideoCall_0105.vue | 601 | // vadStartTime.value = +new Date(); | COMMENT |
| LOW | …2.6/web_server/src/views/home/components/VoiceCall.vue | 501 | if (isCalling.value && !isReturnError.value) { | COMMENT |
| LOW | …2.6/web_server/src/views/home/components/VoiceCall.vue | 541 | // taskQueue.value.map(item => item.time) | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| MEDIUM | web_demos/minicpm-o_2.6/model_server.py | 863 | # Define the log file path | COMMENT |
| MEDIUM | web_demos/minicpm-o_2.6/vad_utils.py | 107 | """This method is used for splitting long audios into speech chunks using silero VAD. | STRING |
| MEDIUM | eval_mm/vlmevalkit/run.py | 399 | # Create the symbolic links for the prediction files | STRING |
| MEDIUM | eval_mm/vlmevalkit/vlmeval/dataset/utils/mlvu.py | 77 | # Define the keys to locate in the text | STRING |
| MEDIUM | eval_mm/vlmevalkit/vlmeval/dataset/utils/mlvu.py | 111 | # Define the keys to locate in the text | STRING |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| MEDIUM | eval_mm/vlmevalkit/vlmeval/api/gpt.py | 185 | # 'may exceed the context window with some additional meta symbols. ' | COMMENT |
| MEDIUM | eval_mm/vlmevalkit/vlmeval/api/gpt.py | 188 | # return 0, self.fail_msg + 'Input string longer than context window. ', 'Length Exceeded. ' | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | finetune/dataset.py | 19 | logger = logging.getLogger(__name__) | CODE |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/__init__.py | 235 | __all__ = [ | CODE |
| LOW | eval_mm/vlmevalkit/vlmeval/dataset/utils/__init__.py | 6 | __all__ = [ | CODE |
| LOW | eval_mm/vlmevalkit/vlmeval/utils/__init__.py | 5 | __all__ = [ | CODE |
| LOW | eval_mm/vlmevalkit/vlmeval/api/__init__.py | 3 | __all__ = [ | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| MEDIUM | eval_mm/vlmevalkit/vlmeval/dataset/image_vqa.py | 1080 | # Once you get the permission, you can use the helper code here to download and extract necessary images: | COMMENT |
| MEDIUM | eval_mm/vlmevalkit/vlmeval/dataset/utils/mathverse.py | 29 | Model response: 'As it stands, I cannot provide the correct option letter because there isn't enough information to solv | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| HIGH | …l_mm/vlmevalkit/vlmeval/dataset/utils/tablevqabench.py | 23 | 'If you have multiple answers, please separate them with || marks. Example: Apple||Banana||Tomato\n\n' | CODE |