5 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
Chen Jiayu	5fb0a86f69	support fcos (#100) ... support fcos(38.57)	2022-07-12 18:07:02 +08:00
Chen Jiayu	0b472bacf1	refactor detection, support detr and dab-detr (#104) ... refactor detection, support detr and dab-detr	2022-07-11 14:52:49 +08:00
zouxinyi0625	3af93bdac5	YOLOX End2end & Blade Support (#66) ... * support export with jit.trace and jit.script and end2end	2022-06-08 20:41:15 +08:00
wenmeng.zwm	055deba53e	initial commit	2022-04-02 20:01:06 +08:00