2 Commits

Author	SHA1	Message	Date
wuziheng	9aaa600f79	Yolox improve with REPConv/ASFF/TOOD (#154) ... * add attention layer and more loss function * add attention layer and various loss functions * add siou loss * add tah,various attention layers, and different loss functions * add asff sim, gsconv * blade utils fit faster * blade optimize for yolox static & fp16 * decode output for yolox control by cfg * add reparameterize_models for export * e2e trt_nms plugin export support and numeric test * split preprocess from end2end+blade, speedup from 17ms->7.2ms Co-authored-by: zouxinyi0625 <zouxinyi.zxy@alibaba-inc.com>	2022-08-24 18:11:15 +08:00
Cathy0908	00f2e2eb64	fix eval metric during training and add metric unittest (#67) ... * fix eval metric during training and add metric unittest	2022-05-19 16:07:36 +08:00