实战awesome-semantic-segmentation-pytorch-master 实战awesome-semantic-segmentation-pytorch-master 1.使⽤pycharm2021.2.3 professional版本，pytoch的版本是1.7.0，cuda的版本是10.2 import torch print(torch.__version__)print(torch.version.cuda)运⾏结果为 因为才刚刚接触深度学习没多久，应该⼤概也许...
master BranchesTags Code README Apache-2.0 license Semantic Segmentation on PyTorch English |简体中文 This project aims at providing a concise, easy-to-use, modifiable reference implementation for semantic segmentation models using PyTorch. Installation ...
Semantic3d CamVid lartpang/awesome-segmentation-saliency-dataset Kaggle Frameworks for segmentation Semantic Segmentation in PyTorch (by yassouali): Semantic segmentation models, datasets and losses implemented in PyTorch. Semantic Segmentation Suite (by George Seif): Semantic Segmentation Suite in TensorFlow...
arxiv:https://arxiv.org/abs/1704.03549 github:https://github.com/tensorflow/models/tree/master/attention_ocr Implicit Language Model in LSTM for OCR https://arxiv.org/abs/1805.09441 Scene Text Magnifier intro: ICDAR 2019 arxiv:https://arxiv.org/abs/1907.00693 Text Detection Object Proposals f...
1200+ pytorch-semantic-segmentation: 语义分割。 1000- RoIAlign.pytorch: PyTorch版本的RoIAlign。其实现基于crop_and_resize,支持CPU和GPU上的前向和后向。 1000- pytorch-cnn-finetune:用PyTorch微调预训练卷积神经网络。 1000- detectorch: Detectorch - PyTorch版detectron框架,目前仅有detectron的推断(inference...
[CVPR] PIXOR: Real-time 3D Object Detection from Point Clouds. [pytorch] [det.aut.] [CVPR] SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation. [tensorflow] [seg.] [CVPR] Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs. [pytorch] [seg.] ...
pytorch-semantic-segmentation: PyTorch for Semantic Segmentation. RoIAlign.pytorch: This is a PyTorch version of RoIAlign. This implementation is based on crop_and_resize and supports both forward and backward on CPU and GPU. pytorch-cnn-finetune: Fine-tune pretrained Convolutional Neural Networks ...
ShusenTang/Dive-into-DL-PyTorch - 本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。 graykode/nlp-tutorial - Natural Language Processing Tutorial for Deep Learning Researchers datawhalechina/leedl-tutorial - 《李宏毅深度学习教程》,PDF下载地址:https://github.com/...
mamba2-minimal: A minimal, single-file implementation of the Mamba-2 model in PyTorch. [URL] mamba.py: An efficient Mamba implementation in PyTorch and MLX. [URL] mamba.c: Inference of Mamba models in pure C and CUDA. [URL] Other Awesome Mamba List AvivBick/awesome-ssm-ml [URL] yyyu...
EfficientDet: Scalable and Efficient Object Detection[Paper][Code][PyTorch][PyTorch][PyTorch][TensorFlow] Mingxing Tan, Ruoming Pang, Quoc V. LeCVPR 2020 Efficient Object Detection in Large Images Using Deep Reinforcement Learning[Paper] Burak Uzkent, Christopher Yeh, Stefano ErmonWACV 2020 ...