我们先下载需要微调的RTMDet-l模型权重,然后在测试图片上进行推理,顺便也可以检查环境是否齐全。 关于模型型号,可以在项目文件configs/rtmdet下找到。但要注意的是,在Readme.md文档中有两个表格分别是Object Detection和Instance Segmentation,由于是实例分割任务,我们...
Here are 12 public repositories matching this topic... Language:All Sort:Most stars open-mmlab/mmdetection Star31k OpenMMLab Detection Toolbox and Benchmark pytorchfast-rcnntransformeryolossdfaster-rcnnobject-detectionglipinstance-segmentationmask-rcnnretinanetsemisupervised-learningpanoptic-segmentationcascade...
RTMDet not only achieves the best parameter-accuracy trade-off on object detection from tiny to extra-large model sizes but also obtains new state-of-the-art performance on instance segmentation and rotated object detection tasks. Details can be found in the technical report. Pre-trained models...
In this paper, we propose the concept of global guidance, design a global guidance structure based on a dual-scale global feature enhancement module, and construct a multi-task network (RTMDet-MGG) for road scene instance segmentation and drivable area segmentation in order to overcome the limita...
- Support instance segmentation: \[YOLOv8-seg\](https://github.com/ultralytics/ultralytics). - Add \[README_zh-CN.md\](README_zh-CN.md) of X-AnyLabeling. - May. 2023: - Release version [0.1.0](https://github.com/CVHub520/X-AnyLabeling/releases/tag/v0.1.0). - Release [YOL...
Does RTMDet instance segmentation support onnx conversion? open-mmlab/mmdetection#9615 Closed fix rewrite trt 3002058 mattiasbax reviewed Jan 17, 2023 View reviewed changes mmdeploy/codebase/mmdet/models/dense_heads/rtmdet_ins_head.py Outdated Show resolved RangiLyu mentioned this pull request...
Thanks for your contribution and we appreciate it a lot. The following instructions would make your pull request more healthy and more easily receiving feedbacks. If you do not understand some item...
统计FLOPs(G)和Params(M),首先安装PaddleSlim,pip install paddleslim,然后设置runtime.yml里print_flops: True和print_params: True,并且注意确保是单尺度下如640x640,打印的是MACs,FLOPs=2*MACs。 [训练自定义数据集](#43) 请参照文档和issue; PaddleDetection团队提供了基于PP-YOLOE的各种垂类检测模型的配置...
Custom dataset of 100 images for instance segmentation with >200 polygons per image. Resolution of images: 1280 x 720 Hardware NVIDIA RTX 2060. Also tried training on NVIDIA RTX 3080. Both have a GPU memory of 12 GB. Additional description/information ...
RTMDet not only achieves the best parameter-accuracy trade-off on object detection from tiny to extra-large model sizes but also obtains new state-of-the-art performance on instance segmentation and rotated object detection tasks. Details can be found in the technical report. Pre-trained models...