Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
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Medsegdiff | 831 | 3 months ago | 66 | mit | Python | |||||
Medical Image Segmentation with Diffusion Model | ||||||||||
Pixellib | 828 | 1 | 2 years ago | 22 | October 11, 2021 | 71 | mit | Python | ||
Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/ | ||||||||||
Caer | 691 | 2 | a year ago | 119 | October 13, 2021 | 2 | mit | Python | ||
High-performance Vision library in Python. Scale your research, not boilerplate. | ||||||||||
Eccv2022 Papers With Code Demo | 207 | a year ago | ||||||||
收集 ECCV 最新的成果,包括论文、代码和demo视频等,欢迎大家推荐! | ||||||||||
Pixel_level_land_classification | 166 | 5 years ago | 4 | mit | Jupyter Notebook | |||||
Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy. | ||||||||||
Segformer Pytorch | 111 | 3 years ago | 6 | August 24, 2021 | 4 | mit | Python | |||
Implementation of Segformer, Attention + MLP neural network for segmentation, in Pytorch | ||||||||||
Fc Densenet Tensorflow | 103 | 5 years ago | mit | Python | ||||||
Fully Convolutional DenseNet (A.K.A 100 layer tiramisu) for semantic segmentation of images implemented in TensorFlow. | ||||||||||
Uformer Pytorch | 41 | 2 years ago | 8 | October 26, 2021 | 1 | mit | Python | |||
Implementation of Uformer, Attention-based Unet, in Pytorch | ||||||||||
Isaac_ros_image_segmentation | 40 | 5 months ago | 1 | apache-2.0 | C++ | |||||
Hardware-accelerated, deep learned semantic image segmentation | ||||||||||
Wastedata Mask_rcnn Multiple Classes | 35 | 3 years ago | n,ull | Jupyter Notebook | ||||||
predicting more than 2 classes from publicly available image data, for annotation we are using VGG annotator latest version |