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TEED-main.zip
大小:5.63MB
价格:29积分
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评分:
5.0
上传者:Qingyou__
更新日期:2025-09-22

TEED-mainTEED-mainTEED-main

资源文件列表(大概)

文件名
大小
TEED-main/
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TEED-main/.idea/
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TEED-main/.idea/.gitignore
50B
TEED-main/.idea/inspectionProfiles/
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TEED-main/.idea/inspectionProfiles/profiles_settings.xml
174B
TEED-main/.idea/inspectionProfiles/Project_Default.xml
1.34KB
TEED-main/.idea/misc.xml
270B
TEED-main/.idea/modules.xml
277B
TEED-main/.idea/TEED-main.iml
479B
TEED-main/.idea/workspace.xml
3.4KB
TEED-main/BIPED/
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TEED-main/checkpoints/
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TEED-main/checkpoints/BIPED/
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TEED-main/checkpoints/BIPED/0/
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TEED-main/checkpoints/BIPED/0/0_model.pth
243.3KB
TEED-main/checkpoints/BIPED/1/
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TEED-main/checkpoints/BIPED/1/1_model.pth
243.3KB
TEED-main/checkpoints/BIPED/2/
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TEED-main/checkpoints/BIPED/2/2_model.pth
243.3KB
TEED-main/checkpoints/BIPED/3/
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TEED-main/checkpoints/BIPED/3/3_model.pth
243.3KB
TEED-main/checkpoints/BIPED/4/
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TEED-main/checkpoints/BIPED/4/4_model.pth
243.3KB
TEED-main/checkpoints/BIPED/5/
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TEED-main/checkpoints/BIPED/5/5_model.pth
243.3KB
TEED-main/checkpoints/BIPED/6/
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TEED-main/checkpoints/BIPED/6/6_model.pth
243.3KB
TEED-main/checkpoints/BIPED/7/
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TEED-main/checkpoints/BIPED/7/7_model.pth
243.3KB
TEED-main/checkpoints/BIPED/events.out.tfevents.1673615094.3de84a6f18d0.29397.0
416B
TEED-main/checkpoints/BIPED/pretrain_model/
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TEED-main/checkpoints/BIPED/pretrain_model/7_model.pth
243.3KB
TEED-main/checkpoints/current_res/
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TEED-main/checkpoints/current_res/35028.png
58.57KB
TEED-main/checkpoints/current_res/cameraman.png
100.57KB
TEED-main/checkpoints/current_res/lena.png
122.09KB
TEED-main/checkpoints/current_res/results.png
648.32KB
TEED-main/data/
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TEED-main/dataset.py
22.86KB
TEED-main/data/124084.jpg
62.36KB
TEED-main/data/cameraman.png
121.03KB
TEED-main/data/lena.tif
768.14KB
TEED-main/imgs/
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TEED-main/imgs/teedBanner.png
1.46MB
TEED-main/LICENSE
1.05KB
TEED-main/loss2.py
3.35KB
TEED-main/main.py
22.64KB
TEED-main/README.md
2.2KB
TEED-main/result/
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TEED-main/result/BIPED2CLASSIC/
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TEED-main/result/BIPED2CLASSIC/fused/
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TEED-main/result/BIPED2CLASSIC/fused/124084.png
65.82KB
TEED-main/ted.py
10.02KB
TEED-main/test1/
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TEED-main/test1/124084.jpg
62.36KB
TEED-main/utils/
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TEED-main/utils/AF/
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TEED-main/utils/AF/Fmish.py
395B
TEED-main/utils/AF/Fsmish.py
512B
TEED-main/utils/AF/Xmish.py
1.01KB
TEED-main/utils/AF/Xsmish.py
1.05KB
TEED-main/utils/AF/__pycache__/
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TEED-main/utils/AF/__pycache__/Fmish.cpython-38.pyc
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TEED-main/utils/AF/__pycache__/Fsmish.cpython-38.pyc
726B
TEED-main/utils/AF/__pycache__/Xmish.cpython-38.pyc
1.42KB
TEED-main/utils/AF/__pycache__/Xsmish.cpython-38.pyc
1.48KB
TEED-main/utils/img_processing.py
11.32KB
TEED-main/utils/train_pair0.lst
6.73MB
TEED-main/utils/__pycache__/
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TEED-main/utils/__pycache__/img_processing.cpython-38.pyc
6.85KB
TEED-main/__pycache__/
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TEED-main/__pycache__/dataset.cpython-38.pyc
9.14KB
TEED-main/__pycache__/loss2.cpython-38.pyc
2.66KB
TEED-main/__pycache__/model.cpython-38.pyc
6.91KB
TEED-main/__pycache__/modelArch.cpython-38.pyc
6.92KB
TEED-main/__pycache__/modelRelu.cpython-38.pyc
6.88KB
TEED-main/__pycache__/modelSmishArch.cpython-38.pyc
8.09KB
TEED-main/__pycache__/modelV10B2.cpython-38.pyc
7.06KB
TEED-main/__pycache__/ted.cpython-38.pyc
8.74KB

资源内容介绍

TEED-mainTEED-mainTEED-main
[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/tiny-and-efficient-model-for-the-edge/edge-detection-on-uded)](https://paperswithcode.com/sota/edge-detection-on-uded?p=tiny-and-efficient-model-for-the-edge)# Tiny and Efficient Model for the Edge Detection Generalization (Paper)## Overview<div style="text-align:center"><img src='imgs/teedBanner.png' width=800></div>Tiny and Efficient Edge Detector (TEED) is a light convolutional neuralnetwork with only $58K$ parameters, less than $0.2$% of the state-of-the-art models. Training on the [BIPED](https://www.kaggle.com/datasets/xavysp/biped)dataset takes *less than 30 minutes*, with each epoch requiring *less than 5 minutes*. Our proposed model is easy to trainand it quickly converges within very first few epochs, while the predicted edge-maps are crisp and of high quality, see image above.[This paper has been accepted by ICCV 2023-Workshop RCV](https://arxiv.org/abs/2308.06468).... In construction git clone https://github.com/xavysp/TEED.git cd TEEDThen,## Testing with TEEDCopy and paste your images into data/ folder, and: python main.py --choose_test_data=-1## Training with TEEDSet the following lines in main.py: 25: is_testing =False # training with BIPED 223: TRAIN_DATA = DATASET_NAMES[0] then run python main.pyCheck the configurations of the datasets in dataset.py## UDED datasetHere the [link](https://github.com/xavysp/UDED) to access the UDED dataset for edge detection## CitationIf you like TEED, why not starring the project on GitHub![![GitHub stars](https://img.shields.io/github/stars/xavysp/TEED.svg?style=social&label=Star&maxAge=3600)](https://GitHub.com/xavysp/TEED/stargazers/)Please cite our Dataset if you find helpful in your academic/scientific publication,```@InProceedings{Soria_2023teed, author = {Soria, Xavier and Li, Yachuan and Rouhani, Mohammad and Sappa, Angel D.}, title = {Tiny and Efficient Model for the Edge Detection Generalization}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2023}, pages = {1364-1373}}

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