17 Commits

Author SHA1 Message Date
liaoxingyu
84c733fa85 fix: remove prefetcher, put normalizer in model
1. remove messy data prefetcher which will cause  confusion
2. put normliazer in model to accelerate training via GPU computing
2020-05-25 23:39:11 +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
9fae467adf feat(engine/defaults): add DefaultPredictor to get image reid features
Add a new predictor interface, and modify demo code to predict image features.
2020-05-08 19:24:27 +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
6a8961ce48 1. upload circle loss and arcface
2. finish freeze training
3. update augmix data augmentation
2020-04-05 23:54:26 +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