mirrors
/
fast-reid
mirror of https://github.com/JDAI-CV/fast-reid.git
1
0
Fork 0
Code Issues Projects Releases Wiki Activity
241 Commits
1 Branch
4 Tags
15 MiB
Commit Graph

10 Commits (5ae2cff47ecae84b8a23b89073e5075210aabd13)

Author SHA1 Message Date
liaoxingyu a1cb123cfa fix R101 bottleneck missing problem 
Summary: add key 101 in block dict to support R101
 2020-05-26 14:48:32 +08:00
liaoxingyu 5982f90920 support loading various pretrained weights 
Summary: Support loading pretrained model by custom path. With this function, we can load infoMin weights.
 2020-05-26 14:33:18 +08:00
liaoxingyu 5d4758125d support ResNet34 backbone 
Summary: add BasicBlock to support ResNet34
 2020-05-26 13:18:09 +08:00
liaoxingyu 8ab0bc2455 style(backbone): make parameters loading logging more elegant 2020-05-08 12:22:06 +08:00
liaoxingyu a2dcd7b4ab feat(layers/norm): add ghost batchnorm 
add a get_norm fucntion to easily change normalization between batchnorm, ghost bn and group bn
 2020-05-01 09:02:46 +08:00
liaoxingyu 95a3c62ad2 refactor(fastreid) 
refactor architecture
 2020-04-20 10:59:29 +08:00
liaoxingyu 23bedfce12 update version0.2 code 2020-03-25 10:58:26 +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 a2f69d0537 Update StrongBaseline results for market1501 and dukemtmc 2020-02-11 22:38:40 +08:00
L1aoXingyu db6ed12b14 Update sampler code 2020-02-10 07:38:56 +08:00