We abstract various SGG models to be differentrelation-head predictorsin the fileroi_heads/relation_head/roi_relation_predictors.py, which are independent of the Faster R-CNN backbone and relation-head feature extractor. To select our predefined models, you can useMODEL.ROI_RELATION_HEAD.PREDICTOR...
a GNNbased feature extractor; Synthetic Node Generation; Edge Generator; GNN Classifier;4.1 Feature ExtractorSMOTE 用于原始节点特征空间,带来的问题是:原始特征空间可能是稀疏和高维的,且特征空间不好; 未考虑图的结构,可能会导致次优的合成节点;本文提出的过采样方法同时考虑了节点表示和拓扑结构,并且遵循了同质...
File "/usr/local/lib/python3.10/site-packages/graphrag/index/graph/extractors/claims/claim_extractor.py", line 121, in __call__ claims = await self._process_document(prompt_args, text, doc_index) File "/usr/local/lib/python3.10/site-packages/graphrag/index/graph/extractors/claims/claim_ext...
We abstract various SGG models to be differentrelation-head predictorsin the fileroi_heads/relation_head/roi_relation_predictors.py, which are independent of the Faster R-CNN backbone and relation-head feature extractor. To select our predefined models, you can useMODEL.ROI_RELATION_HEAD.PREDICTOR...
1.密码MD5加密 登录接口,password是加密的情况下,使用MD5这个函数生成password 如果没有MD5,可以使用digest这个函数 2.json提取器 登录成功后,返回一个成功消息如下,是json格式的 在JSON Path Expression后面输入:.data后,点击Test按钮,上面json中的data值被提取出来了 在这个请求下添加JSON Extractor,如下填写,...问...
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1.密码MD5加密 登录接口,password是加密的情况下,使用MD5这个函数生成password 如果没有MD5,可以使用digest这个函数 2.json提取器 登录成功后,返回一个成功消息如下,是json格式的 在JSON Path Expression后面输入:.data后,点击Test按钮,上面json中的data值被提取出来了 在这个请求下添加JSON Extractor,如下填写,...jav...
默认情况下,请考虑密钥提取程序 (rest_key_case_insensitive_extractor、attribute_key_case_insensitive_extractor和last_rest_key_case_insensitive_extractor) Python 复制 from_dict(data, key_extractors=None, content_type=None) 参数 展开表 名称说明 data 必需 dict 使用RestAPI 结构的 dict cont...
graph_extractor.cpython-310.pyc prompts.cpython-310.pyc summarize/__pycache__ __init__.cpython-310.pyc description_summary_extractor.cpython-310.pyc prompts.cpython-310.pyc utils/__pycache__ __init__.cpython-310.pyc normalize_node_names.cpython-310.pyc stable_lcc.cpython-...
3.2. Local Feature Extractor The Local Feature Extractor possesses two streams, and two individual pre-trained ResNet-50 are used as the backbone, where the stride of the convolution operation in the last layer is modified from 2 to 1. We feed the pedestrian images of IR modality and RGB ...