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* add milvus ground truth * add milvus groundtruth * [skip ci] add milvus ground truth * [skip ci]add tanimoto ground truth
34 lines
2.3 KiB
Markdown
34 lines
2.3 KiB
Markdown
# Quick Start
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- For calculating L2 or IP distance of feature vectors.
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- At below table, the last five parameters do not need to alter.
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### Parameter Description：
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| parameter | description | default setting |
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| ------------------ | --------------------------------------------- | ----------------------- |
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| PROCESS_NUM | number of processes | 12 |
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| GET_VEC | whether to save feature vectors | False |
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| CSV | whether the query vector file format is csv | False |
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| UINT8 | whether the query vector data format is uint8 | False |
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| BASE_FOLDER_NAME | path to the source vector dataset | '/data/milvus/base' |
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| NQ_FOLDER_NAME | path to the query vector dataset | '/data/milvus/query' |
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| GT_ALL_FOLDER_NAME | intermediate filename | 'ground_truth_all' |
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| GT_FOLDER_NAME | path saved the ground truth results | 'ground_truth' |
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| LOC_FILE_NAME | file saved the gorund truth's location info | 'ground_truth.txt' |
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| FLOC_FILE_NAME | file saved the gorund truth's filenames info | 'file_ground_truth.txt' |
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| VEC_FILE_NAME | file saved the gorund truth's feature vectors | 'vectors.npy' |
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### Usage：
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```bash
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$ python3 milvus_ground_truth.py [-q <nq_num>] -k <topk_num> -m <metric typr>-l
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# -q or --nq points the number of vectors taken from the query vector set. This parameter is optional, Without it will take all the data in the query set.
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# -k or --topk points calculate the top k similar vectors.
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# -m or --metric points the method vector distances are compared in Milvus,such as IP/L2/Tan.
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# -l means generate the ground truth results, it will save in GT_FOLDER_NAME.In this path, LOC_FILE_NAME saved the gorund truth's results info, such as "8002005210",the first ‘8’ is meaningless, the 2-4th position means the position of the result file in the folder, the 5-10th position means the position of the result vector in the result file. The result filename and vector location saved in FLOC_FILE_NAME, such as "binary_128d_00000.npy 81759", and the result vector is saved in VEC_FILE_NAME.
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``` |