In addition to SSL, EasyCV also support(s) image classification, object detection, metric learning, and more area(s) will be supported in the future. Although convering different area(s), EasyCV decompose(s) the framework into different componets such as dataset, model (and) running hook, making it easy to add new compoenets and combining it with existing modules.
EasyCV provide(s) simple and comprehensive interface for inference. Additionaly, all models are supported on PAI-EAS, which can be easily deployed as online service and support automatic scaling and service monitoring.
Efficiency
EasyCV support(s) multi-gpu and multi worker training. EasyCV use(s) DALI to accelerate data io and preprocessing process, and use(s) TorchAccelerator and fp16 to accelerate training process. For inference optimization, EasyCV export(s) model using jit script, which can be optimized by PAI-Blade
wenmengzhou
commented
2 years ago
Listed here and noted by brackets "()".
Functionality & Extensibility
In addition to SSL, EasyCV also support(s) image classification, object detection, metric learning, and more area(s) will be supported in the future. Although convering different area(s), EasyCV decompose(s) the framework into different componets such as dataset, model (and) running hook, making it easy to add new compoenets and combining it with existing modules.
EasyCV provide(s) simple and comprehensive interface for inference. Additionaly, all models are supported on PAI-EAS, which can be easily deployed as online service and support automatic scaling and service monitoring.
Efficiency
EasyCV support(s) multi-gpu and multi worker training. EasyCV use(s) DALI to accelerate data io and preprocessing process, and use(s) TorchAccelerator and fp16 to accelerate training process. For inference optimization, EasyCV export(s) model using jit script, which can be optimized by PAI-Blade