Comments (4)
@xiaoxiong74 你好,抱歉回复迟了,谢谢你的issue。这个NoneType的问题应该是我们代码中这一行的bug导致的,我们会尽快修复这个问题。
结果差的原因可能有两个方面,第一是训练和测试用的knn build的方式不同,我们之前观察到如果用hnsw训练,用faiss测试,聚类性能会有所下降;第二是faiss_gpu本身,我们默认用了IVF来加速搜索,得到的knn不是完全精确的,可以尝试只用最基础的faiss_gpu来得到knn graph。
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@yl-1993 感谢你的回复,我后面直接尝试使用faiss_gpu的内积暴力搜索,结果是准确的。
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@yl-1993 感谢你的回复,我后面直接尝试使用faiss_gpu的内积暴力搜索,结果是准确的。
请问你用的faiss-gpu内积暴力搜索是哪个方法?在作者的knn内只看到了knn_brute_force。
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@yl-1993 感谢你的回复,我后面直接尝试使用faiss_gpu的内积暴力搜索,结果是准确的。
请问你用的faiss-gpu内积暴力搜索是哪个方法?在作者的knn内只看到了knn_brute_force。
@zhaoxin111 自己调用faiss的gpu相关方法即可,如GpuIndexFlatIP(res, dim)。
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Related Issues (20)
- output error HOT 1
- Dataset issue HOT 2
- Issue while training LGCN HOT 1
- 您好,想请教一下训练GCN-D时报错run out of input HOT 1
- 没有修改任何参数跑作者提供的pretrained model for ms1m Fscore 只有0.32
- Clustering 512D features using pretrained model HOT 3
- building symmetric adjacency matrix in utils HOT 1
- why using output of relu for rebuilding knn graph HOT 1
- is not a checkpoint filemodels/pretrained_gcn_e_ms1m.pth HOT 3
- about extracting features HOT 3
- About how to make a .meta file HOT 1
- Can we manually set the number of clusters during the test HOT 1
- 大佬,请教下train_cluster_seg_iop_vox.sh 的test阶段报错的问题 HOT 2
- 两个face recognition模型,推荐使用哪个,hfsoftmax还要用到python 2 ? HOT 1
- About pretrained_model to get the the extracted feature HOT 2
- GCN-D MMdistributedDataparallel train HOT 2
- 关于性能 HOT 1
- How to apply lgcn for clustering on custom embeddings of collected face images? HOT 1
- On custom dataset preparation
- On the numpy version which may cause exception HOT 3
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