What's new in v0.4.0

Fix a little bug in demo.py by BlainWu (#210)
Add script to export TorchScript model by strawberrypie (#211)
Use fixed output names when exporting ONNX (#218)
Use scale_factor instead of fixed size in resize to support dynamic shape inference (#218)
Ensure num_classes equal len(class_names) by ZHEQIUSHUI (#221)
Fix a bug in mnn demo while using GPU device by AcherStyx (#234)
Fix with_last_conv bug in shufflenet (#239)
Support batch eval (#241)
Add nanodet-m-1.5x models (#242)
Update model benchmark (#246)
Prevent lightning Trainer from disabling cudnn.benchmark (#249)
Fix multi-GPU evaluation bug with pytorch-lightning (#254)

Download pretrained models

Model	Backbone	Resolution	COCO mAP	FLOPS	Params	Pre-train weight
NanoDet-m	ShuffleNetV2 1.0x	320*320	20.6	0.72B	0.95M	Download
NanoDet-m-416	ShuffleNetV2 1.0x	416*416	23.5	1.2B	0.95M	Download
NanoDet-m-1.5x	ShuffleNetV2 1.5x	320*320	23.5	1.44B	2.08M	Download
NanoDet-m-1.5x-416	ShuffleNetV2 1.5x	416*416	26.8	2.42B	2.08M	Download
NanoDet-t	ShuffleNetV2 1.0x	320*320	21.7	0.96B	1.36M	Download
NanoDet-g	Custom CSP Net	416*416	22.9	4.2B	3.81M	Download
NanoDet-EfficientLite	EfficientNet-Lite0	320*320	24.7	1.72B	3.11M	Download
NanoDet-EfficientLite	EfficientNet-Lite1	416*416	30.3	4.06B	4.01M	Download
NanoDet-EfficientLite	EfficientNet-Lite2	512*512	32.6	7.12B	4.71M	Download
NanoDet-RepVGG	RepVGG-A0	416*416	27.8	11.3B	6.75M	Download