21 Commits

Author SHA1 Message Date
liaoxingyu
d00ce8fc3c refactor model arch 2020-09-01 16:14:45 +08:00
liaoxingyu
ae7c9288cf support faiss retrieval and cython roc evaluation 2020-08-12 16:27:57 +08:00
liaoxingyu
35794621cc remove addmm warning 2020-07-31 16:32:10 +08:00
liaoxingyu
65169b40bd support ddp testing 2020-07-30 20:15:28 +08:00
liaoxingyu
16655448c2 onnx/trt support
Summary: change model pretrain mode and support onnx/TensorRT export
2020-07-29 17:43:39 +08:00
liaoxingyu
e0fc15269c update tabulate vis 2020-07-15 14:56:18 +08:00
liaoxingyu
fec7abc461 finish v0.2 ddp training 2020-07-06 16:57:43 +08:00
liaoxingyu
2ac55a7601 feat: update roc curve and TPR@FPR metric
support plot multiple ROC curves with different model
2020-05-20 14:29:33 +08:00
liaoxingyu
e344eae1cc feat: support plotting roc curve and compute auc score
ROC curve and AUC score will be help for thresholds
2020-05-19 20:45:26 +08:00
liaoxingyu
579a5cf552 fix: modify re-rank typro 2020-05-18 17:05:20 +08:00
liaoxingyu
5ae3d4fecf feat: add aqe support in test phase
query expansion will combine the retrived topk nearest neighbors with the original query feature,
it will enhance mAP by a large margin.feat:
2020-05-13 16:27:22 +08:00
liaoxingyu
320010f2ae feat: support re-rank in test phase 2020-05-13 11:47:52 +08:00
liaoxingyu
13bb03eb07 feat: add rank result visualization tools
Update visualization tools which can save rank list with AP metrics from high to low, vice versa.
In order to compute AP fast in visualizer, modify rank_cylib to get all_AP instead of mAP.
In this way, we can use Cython to compute results.
2020-05-10 23:17:10 +08:00
liaoxingyu
4d3e5fd378 refactor(evaluation): add feature l2 norm in evaluation
change the l2 norm function from inference function in Module to reid evaluation.
because sometimes we need to use the original features generated by model rather than normalized ones.
2020-04-27 14:51:39 +08:00
liaoxingyu
23bedfce12 update version0.2 code 2020-03-25 10:58:26 +08:00
L1aoXingyu
b020c7f0ae Fix data prefetcher minor bug 2020-02-27 12:16:57 +08:00
L1aoXingyu
12957f66aa Change architecture:
1. delete redundant preprocess
2. add data prefetcher to accelerate data loading
3. fix minor bug of triplet sampler when only one image for one id
2020-02-18 21:01:23 +08:00
L1aoXingyu
8a9c0ccfad Finish first version for fastreid 2020-02-10 22:13:04 +08:00
L1aoXingyu
db6ed12b14 Update sampler code 2020-02-10 07:38:56 +08:00
liaoxingyu
71950d2c09 1. Fix evaluation code
2. Finish multi-dataset evaluation
3. Decouple image preprocess and output postprocess with model forward for DataParallel training
4. Finish build backbone registry
5. Fix dataset sampler
2020-01-21 20:24:26 +08:00
liaoxingyu
b761b656f3 Finish basic training loop and evaluation results 2020-01-20 21:33:37 +08:00