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34
nodes/infers/vp_mllm_analyser_node.cpp
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34
nodes/infers/vp_mllm_analyser_node.cpp
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#include "vp_mllm_analyser_node.h"
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#ifdef VP_WITH_LLM
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namespace vp_nodes {
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vp_mllm_analyser_node::vp_mllm_analyser_node(std::string node_name,
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std::string model_name,
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std::string prompt,
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std::string api_base_url,
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std::string api_key,
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llmlib::LLMBackendType backend_type):
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vp_primary_infer_node(node_name, ""),
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llm_model_name(model_name),
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llm_prompt(prompt) {
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cli = llmlib::LLMClient(api_base_url, api_key, backend_type);
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this->initialized();
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}
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vp_mllm_analyser_node::~vp_mllm_analyser_node() {
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deinitialized();
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}
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void vp_mllm_analyser_node::run_infer_combinations(const std::vector<std::shared_ptr<vp_objects::vp_frame_meta>>& frame_meta_with_batch) {
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assert(frame_meta_with_batch.size() == 1);
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auto& frame_meta = frame_meta_with_batch[0];
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auto output = cli.simple_chat(llm_model_name, llm_prompt, {frame_meta->frame}, {});
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frame_meta->description = output;
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}
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void vp_mllm_analyser_node::postprocess(const std::vector<cv::Mat>& raw_outputs, const std::vector<std::shared_ptr<vp_objects::vp_frame_meta>>& frame_meta_with_batch) {
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}
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}
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#endif
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