14 Commits (d63bf5facc44ebf02d68cc57b17d2d380342eef3)

Author	SHA1	Message	Date
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	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	329764bb60	refactor(heads): move num_classes out from heads ... set parameter num_classes in meta_arch to easily modify different heads fc layer	2020-04-29 21:29:48 +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	3984f0c91d	refactor($modeling/meta): refactor heads output ... without intermediate variables generated by reid heads, make it more flexible	2020-04-24 12:16:18 +08:00
liaoxingyu	95a3c62ad2	refactor(fastreid) ... refactor architecture	2020-04-20 10:59:29 +08:00
liaoxingyu	9684500a57	chagne arch ... 1. change dataset show to trainset show and testset show seperately 2. add cls layer to easily plug in circle loss and arcface	2020-04-19 12:54:01 +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	e01d9b241f	Update AGW baseline result	2020-02-13 20:37:08 +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