Mask-RCNN-Implementation
taco
Mask-RCNN-Implementation | taco | |
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1 | 2 | |
3 | 1,211 | |
- | 1.3% | |
3.2 | 0.0 | |
about 3 years ago | 24 days ago | |
Jupyter Notebook | C++ | |
MIT License | GNU General Public License v3.0 or later |
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Mask-RCNN-Implementation
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Mask RCNN Implementation for Image Segmentation | Tutorial
1.Git clone the Mask-RCNN-Implementation 2.Install the Mask_Rcnn module.
taco
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The Distributed Tensor Algebra Compiler (2022)
I agree! Much of this work was done as part of the overarching TACO project (https://github.com/tensor-compiler/taco), in an attempt to distribute sparse tensor computations (https://rohany.github.io/publications/sc2022-spdistal.pdf). MLIR recently (~mid 2022) began implementing the ideas from TACO into a "sparse tensor" dialect, so perhaps some of these ideas could make it into there. I'm working with MLIR these days, and if I could re-do the project now I would probably utilize and targetb the MLIR linalg infrastructure!
- Qué tire la primer piedra, aquien no le ha pasado así....?
What are some alternatives?
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CuTeLib - CUDA Template Library provides simple, typesafe, performant constructs for C++ CUDA projects
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TACO - 🌮 Trash Annotations in Context Dataset Toolkit
YOLOX - YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
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