Originally, SegFormer is a transformer-based semantic segmentation model known for its simplicity and efficiency. It uses a lightweight hierarchical encoder to capture multi-scale features and a minimal decoder
Segmentation based onPyTorch. The main features of the library are: Super simple high-level API (just two lines to create a neural network) 12 encoder-decoder model architectures (Unet, Unet++, Segformer, DPT, ...) 800+pretrainedconvolution- and transform-based encoders, includingtimmsupport ...
Backbone from SegFormer pretrained on Imagenet! Can be used with other decoders from package, you can combine Mix Vision Transformer with Unet, FPN and others! Limitations: encoder is not supported by Linknet, Unet++ encoder is supported by FPN only for encoder depth = 5 EncoderWeightsParams,...
多心**心酸 在2024-08-17 11:52:06 访问3.31 MB computer-vision deeplab-v3-plus deeplabv3 fpn image-processing image-segmentation imagenet models pretrained-models pretrained-weights pspnet pytorch segformer segmentation segmentation-models semantic-segmentation transformers unet unet-pytorch unetplusplus ...
Backbone from SegFormer pretrained on Imagenet! Can be used with other decoders from package, you can combine Mix Vision Transformer with Unet, FPN and others! Limitations: encoder is not supported by Linknet, Unet++ encoder is supported by FPN only for encoder depth = 5 EncoderWeightsParams,...
Backbone from SegFormer pretrained on Imagenet! Can be used with other decoders from package, you can combine Mix Visual Transformer with Unet, FPN and others! Limitations: encoder is not supported by Linknet, Unet++ encoder is not supported by FPN if encoder depth != 5 EncoderWeightsParams,...
Example test results (SegFormer-B2): Convert to other Frameworks(ONNX, CoreML, OpenVINO, TFLite) To convert to ONNX and CoreML, run: $ python tools/export.py --cfg configs/<CONFIG_FILE_NAME>.yaml To convert to OpenVINO and TFLite, seetorch_optimize. ...