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Functions839 in github.com/alibaba-damo-academy/MedEvalKit

↓ 1 callersFunctionget_content_between_a_b
(start_tag, end_tag, text)
utils/utils.py:232
↓ 1 callersMethodget_conv
(self, text)
models/HuatuoGPT/cli.py:171
↓ 1 callersMethodget_conv_without_history
(self, text)
models/HuatuoGPT/cli.py:185
↓ 1 callersFunctionget_eval
(content: str, max_tokens: int)
models/HealthGPT/llava/eval/eval_gpt_review_bench.py:11
↓ 1 callersFunctionget_eval
(content: str, max_tokens: int)
models/HealthGPT/llava/eval/eval_gpt_review_visual.py:11
↓ 1 callersMethodget_images
(self, return_pil=False)
models/HuatuoGPT/conversation.py:156
↓ 1 callersMethodget_images
(self, return_pil=False)
models/LLava_Med/conversation.py:156
↓ 1 callersFunctionget_key_subresponses
(response)
utils/MMMU/eval_utils.py:135
↓ 1 callersMethodget_model
(cls, name)
LLMs.py:15
↓ 1 callersMethodget_model
(self)
models/HealthGPT/llava/model/language_model/llava_qwen.py:53
↓ 1 callersMethodget_model
(self)
models/HealthGPT/llava/model/language_model/llava_llama.py:54
↓ 1 callersMethodget_model
(self)
models/HealthGPT/llava/model/language_model/llava_phi3.py:55
↓ 1 callersMethodget_model
(self)
models/HealthGPT/llava/model/language_model/llava_mistral.py:54
↓ 1 callersMethodget_model
(self)
models/HuatuoGPT/model/language_model/llava_qwen2.py:66
↓ 1 callersMethodget_model
(self)
models/HuatuoGPT/model/language_model/llava_llama.py:66
↓ 1 callersMethodget_model
(self)
models/LLava_Med/utils.py:374
↓ 1 callersFunctionget_options
(row, options)
models/HealthGPT/llava/eval/model_vqa_mmbench.py:44
↓ 1 callersFunctionget_peft_model_state_dict
Get the state dict of the Peft model. Args: model ([`PeftModel`]): The Peft model. When using torch.nn.DistributedDataParallel, Deep
models/HealthGPT/llava/peft/utils/save_and_load.py:19
↓ 1 callersMethodget_prompt
Get the prompt for generation.
models/InternVL/conversations.py:54
↓ 1 callersMethodget_prompt_embedding_to_save
Returns the prompt embedding to save when saving the model. Only applicable when `peft_config.peft_type != PeftType.LORA`.
models/HealthGPT/llava/peft/peft_model.py:223
↓ 1 callersFunctionget_report_generation_prompt
()
utils/question_formats.py:65
↓ 1 callersFunctionget_usage_dict
(response_usage)
utils/HealthBench/official_code.py:149
↓ 1 callersMethodget_vision_tower
(self)
models/LLava_Med/utils.py:156
↓ 1 callersMethodgrade_sample
( self, prompt: list[dict[str, str]], response_text: str, example_tags: list[s
utils/HealthBench/official_code.py:348
↓ 1 callersFunctionimage_parser
(args)
models/HealthGPT/llava/eval/run_llava.py:28
↓ 1 callersFunctioninfer
()
models/HealthGPT/llava/demo/com_infer.py:27
↓ 1 callersFunctioninfer
()
models/HealthGPT/llava/demo/com_infer_phi4.py:27
↓ 1 callersFunctioninfer
()
models/HealthGPT/llava/demo/gen_infer.py:29
↓ 1 callersMethodinference
text: str images: list[str]
models/HuatuoGPT/cli.py:229
↓ 1 callersMethodinit_components
(self)
models/HuatuoGPT/cli.py:29
↓ 1 callersFunctioninit_judger
()
utils/utils.py:392
↓ 1 callersFunctioninit_llm
(args)
LLMs.py:152
↓ 1 callersFunctioninsert_separator
(X, sep)
models/LLava_Med/mm_utils.py:53
↓ 1 callersMethodinterpolate_pos_encoding
embeddings: (bsz, seqlen, dim) This method allows to interpolate the pre-trained position encodings, to be able to use the model on h
models/HuatuoGPT/model/multimodal_encoder/clip_encoder_larger_input.py:63
↓ 1 callersFunctionjudge_close_end_vqa
(answer,response)
utils/utils.py:159
↓ 1 callersMethodlist_models
(self)
models/HealthGPT/llava/serve/controller.py:112
↓ 1 callersMethodload_data
(self)
utils/CMB/CMB.py:27
↓ 1 callersFunctionload_from_hf
(repo_id, filename, subfolder=None)
models/HealthGPT/llava/model/builder.py:71
↓ 1 callersFunctionload_from_hf
(repo_id, filename, subfolder=None)
models/HuatuoGPT/model/builder.py:65
↓ 1 callersFunctionload_image
(image_file)
models/HealthGPT/llava/serve/cli.py:18
↓ 1 callersFunctionload_image
(image_file)
models/HealthGPT/llava/eval/run_llava.py:33
↓ 1 callersFunctionload_images
(image_files)
models/HealthGPT/llava/eval/run_llava.py:42
↓ 1 callersMethodload_model
(self)
models/HuatuoGPT/model/multimodal_encoder/clip_encoder_larger_input.py:136
↓ 1 callersFunctionload_original_state_dict
(model_id)
models/LLava/convert_llava_weights_to_hf.py:65
↓ 1 callersFunctionload_original_state_dict
(model_id)
models/HuatuoGPT/convert_llava_weights_to_hf.py:75
↓ 1 callersFunctionload_pretrained_model
(model_path, model_base, model_name, load_8bit=False, load_4bit=False, device_map="auto", device="cuda")
models/LLava_Med/utils.py:479
↓ 1 callersFunctionmain
()
eval.py:29
↓ 1 callersFunctionmain
()
utils/HealthBench/official_code.py:510
↓ 1 callersFunctionmain
()
models/LLava/convert_llava_weights_to_hf.py:182
↓ 1 callersFunctionmain
(args)
models/HealthGPT/llava/serve/cli.py:27
↓ 1 callersFunctionmain
()
models/HealthGPT/llava/serve/test_message.py:9
↓ 1 callersFunctionmain
()
models/HuatuoGPT/convert_llava_weights_to_hf.py:188
↓ 1 callersFunctionmake_delta
(base_model_path, target_model_path, delta_path, hub_repo_id)
models/HealthGPT/llava/model/make_delta.py:13
↓ 1 callersFunctionmake_delta
(base_model_path, target_model_path, delta_path, hub_repo_id)
models/HuatuoGPT/model/make_delta.py:13
↓ 1 callersFunctionmark_only_lora_as_trainable
(model: nn.Module, bias: str = "none")
models/HealthGPT/llava/peft/tuners/lora.py:221
↓ 1 callersMethodmaybe_download_dataset
(self)
utils/HealthBench/HealthBench.py:175
↓ 1 callersMethodmaybe_download_dataset
(self)
utils/MedXpertQA/MedXpertQA.py:115
↓ 1 callersMethodmaybe_download_dataset
(self)
utils/PMC_VQA/PMC_VQA.py:86
↓ 1 callersMethodmaybe_download_dataset
(self)
utils/IU_XRAY/IU_XRAY.py:102
↓ 1 callersMethodmaybe_download_dataset
(self)
utils/CheXpert_Plus/CheXpert_Plus.py:102
↓ 1 callersMethodmaybe_download_dataset
(self)
utils/OmniMedVQA/OmniMedVQA.py:152
↓ 1 callersMethodmaybe_download_dataset
(self)
utils/SLAKE/SLAKE.py:181
↓ 1 callersMethodmaybe_download_dataset
(self)
utils/MIMIC_CXR/MIMIC_CXR.py:131
↓ 1 callersFunctionparse_args
()
models/HealthGPT/llava/eval/summarize_gpt_review.py:9
↓ 1 callersFunctionparse_img_path
(text)
utils/MMMU/data_utils.py:83
↓ 1 callersFunctionparse_json_to_dict
(json_string: str)
utils/HealthBench/utils.py:91
↓ 1 callersFunctionparse_json_to_dict
(json_string: str)
utils/HealthBench/official_code.py:92
↓ 1 callersFunctionparse_open_response
Parse the prediction from the generated response. Return a list of predicted strings or numbers.
utils/MMMU/eval_utils.py:129
↓ 1 callersFunctionparse_score
(review)
models/HealthGPT/llava/eval/eval_gpt_review_bench.py:36
↓ 1 callersFunctionparse_score
(review)
models/HealthGPT/llava/eval/eval_gpt_review.py:39
↓ 1 callersFunctionparse_score
(review)
models/HealthGPT/llava/eval/eval_gpt_review_visual.py:36
↓ 1 callersFunctionprepare_benchmark
(model,eval_dataset,eval_dataset_path,eval_output_path)
benchmarks.py:29
↓ 1 callersMethodprepare_inputs_labels_for_multimodal
( self, input_ids, position_ids, attention_mask, past_key_values, labels, images )
models/HuatuoGPT/model/llava_arch.py:103
↓ 1 callersMethodpreprocess_huatuo
(self, convs: list, return_tensors)
models/HuatuoGPT/cli.py:122
↓ 1 callersFunctionprocess_anyres_image
Process an image with variable resolutions. Args: image (PIL.Image.Image): The input image to be processed. processor: The i
models/HealthGPT/llava/mm_utils.py:119
↓ 1 callersMethodprocess_batch_messages
(self, messages_list)
models/Med_Flamingo/Med_Flamingo_hf.py:136
↓ 1 callersMethodprocess_digit_article
(self, in_text)
models/HealthGPT/llava/eval/m4c_evaluator.py:198
↓ 1 callersMethodprocess_messages
(self,messages)
models/LLava/LLava_hf.py:20
↓ 1 callersMethodprocess_messages
(self,messages)
models/Janus/Janus.py:22
↓ 1 callersMethodprocess_messages
(self,messages)
models/HealthGPT/HealthGPT.py:74
↓ 1 callersMethodprocess_messages
(self,messages)
models/HealthGPT/HealthGPT_phi.py:74
↓ 1 callersMethodprocess_messages
(self, messages)
models/Med_Flamingo/Med_Flamingo_hf.py:98
↓ 1 callersMethodprocess_messages
(self,messages)
models/Llama_3/Llama_3_2_vision_instruct_hf.py:23
↓ 1 callersMethodprocess_messages
(self,messages)
models/HuatuoGPT/HuatuoGPT_hf.py:19
↓ 1 callersMethodprocess_messages
(self,messages)
models/Qwen2_VL/Qwen2_VL_hf.py:18
↓ 1 callersMethodprocess_messages
(self,messages)
models/BiMediX2/BiMediX2_hf.py:43
↓ 1 callersMethodprocess_messages
(self,messages)
models/LLava_Med/LLava_Med_hf.py:45
↓ 1 callersMethodprocess_messages
(self,messages)
models/MedGemma/MedGemma_hf.py:24
↓ 1 callersMethodprocess_messages
(self,messages)
models/InternVL/InternVL_hf.py:28
↓ 1 callersMethodprocess_messages
(self,messages)
models/Qwen2_5_VL/Qwen2_5_VL_hf.py:18
↓ 1 callersMethodprocess_messages
(self,messages)
models/BiomedGPT/BiomedGPT.py:41
↓ 1 callersMethodprocess_punctuation
(self, in_text)
models/HealthGPT/llava/eval/m4c_evaluator.py:186
↓ 1 callersFunctionprompt_processor
(prompt)
models/HealthGPT/llava/eval/eval_textvqa.py:17
↓ 1 callersMethodreceive_heart_beat
(self, worker_name: str, queue_length: int)
models/HealthGPT/llava/serve/controller.py:173
↓ 1 callersFunctionreduce_image_size
递归压缩图片直到小于指定大小
models/GPT/GPT.py:23
↓ 1 callersMethodrefresh_all_workers
(self)
models/HealthGPT/llava/serve/controller.py:104
↓ 1 callersMethodremove_stable_workers_by_expiration
(self)
models/HealthGPT/llava/serve/controller.py:183
↓ 1 callersMethodreset_parameters
(self)
models/HealthGPT/llava/peft/tuners/lora.py:287
↓ 1 callersFunctionresize_and_pad_image
Resize and pad an image to a target resolution while maintaining aspect ratio. Args: image (PIL.Image.Image): The input image.
models/HealthGPT/llava/mm_utils.py:42
↓ 1 callersMethodresponse
(self,messages,**kwargs)
utils/utils.py:310
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