Model Release 20220923, RIFE model

New modules (compared to previous model release):

• RIFE v4.0 from vs-rife v2.0.0. rife/rife_v4.0.onnx, config: fastmode=True, ensemble=False
• RIFE v4.2, v4.3, v4.4, v4.5, v4.6, v4.7, v4.8, v4.9, v4.10 from Practical-RIFE. rife/rife_{v4.2,v4.3,v4.4,v4.5,v4.6,v4.7,v4.8,v4.9,v4.10}.onnx, config: fastmode=True, ensemble=False
• Other provided RIFE models can be found here, including v2 representation of RIFE v4.7-v4.10 models. Sorry for the inconvenience.

Notes:

• For RIFE on ort-gpu, vs-mlrt v11 or later is suggested for best performance. And (as of v11), only ov-cpu, ort-cpu, ort-cuda, trt (pending new TensorRT release) support RIFE. Specifically, ncnn-vk do not support RIFE due to missing gridsample op.