mirror of https://github.com/alibaba/EasyCV.git
9aaa600f79
* 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> |
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| .. | ||
| __init__.py | ||
| benchmark_mlp.py | ||
| bninception.py | ||
| conv_mae_vit.py | ||
| conv_vitdet.py | ||
| darknet.py | ||
| efficientformer.py | ||
| genet.py | ||
| hrnet.py | ||
| inceptionv3.py | ||
| lighthrnet.py | ||
| mae_vit_transformer.py | ||
| mnasnet.py | ||
| mobilenetv2.py | ||
| network_blocks.py | ||
| pytorch_image_models_wrapper.py | ||
| repvgg_yolox_backbone.py | ||
| resnest.py | ||
| resnet.py | ||
| resnet_jit.py | ||
| resnext.py | ||
| shuffle_transformer.py | ||
| swin_transformer_dynamic.py | ||
| vit_transfomer_dynamic.py | ||
| vitdet.py | ||
| xcit_transformer.py | ||