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segmentationsemantic-segmentationhrnet UpdatedMay 8, 2024 Python HRnet. Our company's internal application for creating and accessing employee records. applicationreactjsemployee-managementvitehrnet UpdatedNov 14, 2023 JavaScript React component library for the HRnet application. ...
通用人像分割(Generic Human Segmentation)模型 PPSeg开放了在大规模人像数据上训练的三个人像模型,满足服务端、移动端、Web端多种使用场景的需求。NOTE: * 其中Checkpoint为模型权重,用于Fine-tuning场景。 Inference Model为预测部署模型,包含model.pdmodel计算图结构、model.pdiparams模型参数和deploy.yaml基础的模型配置...
HRNetV2 Segmentation models are now available. All the results are reproduced by using this repo!!! The models are initialized by the weights pretrained on the ImageNet. You can download the pretrained models fromhttps://github.com/HRNet/HRNet-Image-Classification. ...
git clonehttps://github.com/HRNet/HRNet-Semantic-Segmentation$SEG_ROOT Install dependencies: pip install -r requirements.txt If you want to train and evaluate our models on PASCAL-Context, you need to installdetails. # PASCAL_CTX=/path/to/PASCAL-Context/gitclonehttps://github.com/zhanghang1989...
+ [D#0040-用U-Net做分割](https://github.com/Captain1986/CaptainBlackboard/blob/master/D%230040-用U-Net做分割/D%230040.md) + [RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation](RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation) ...
半身像分割(Portrait Segmentation)模型 针对Portrait segmentation场景,PPSeg开放了半身像分割模型,该模型已应用于百度视频会议。 模型名模型说明CheckpointInference Model PPSeg-Lite 超轻量级模型,适用于Web端或移动端实时分割场景,例如手机自拍、Web视频会议,模型结构为百度自研模型,推荐输入大小(398,224) ppseg_lite...
demonstrates superior results on human pose estimation over popular lightweight networks. Moreover, Lite-HRNet can be easily applied to semantic segmentation task in the same lightweight manner. The code and models have been publicly available at https://github.com/HRNet/Lite-HRNet....
半身像分割(Portrait Segmentation)模型 针对Portrait segmentation场景,PPSeg开放了半身像分割模型,该模型已应用于百度视频会议。 模型名模型说明CheckpointInference Model PPSeg-Lite 超轻量级模型,适用于Web端或移动端实时分割场景,例如手机自拍、Web视频会议,模型结构为百度自研模型,推荐输入大小(398,224) ppseg_lite...
图像语义分割作为实现各类复杂视觉任务的基础之一,在现实中有很多应用。例如,无人驾驶技术中往往需要先实现对街景的语义识别。 HRNet网络架构是近年来表现不错的图像语义分割框架。HRNet不同于常规的Encoder-Decoder框架,而是尽可能自始至终保留高分辨率信息。HRNet 语义分割框架图中包含4类分辨率特征图信息。