PyTorch implementation of DeepLab v2 (ResNet) + COCO-Stuff 10k/164k - zllrunning/deeplab-pytorch-crf
COCO-Stuff dataset: The final version of COCO-Stuff, that is presented on this page. It includes all 164K images from COCO 2017 (train 118K, val 5K, test-dev 20K, test-challenge 20K). It covers 172 classes: 80 thing classes, 91 stuff classes and 1 class 'unlabeled'. This dataset ...
目录如下── coco_stuff10k│ │ ├── images│ │ │ ├── train2014│ │ │ ├── test2014│ │ ├── annotations│ │ │ ├── train2014│ │ │ ├── test2014│ │ ├── imagesLists│ │ │ ├── train.txt│ │ │ ├── test.txt│ │ │ ├── all.txt...
cocostuff10k, ( 过期) COCO 10K 数据集的官方主页 coco-stuff dataset dataset dataset ( 过时的),Ferrari,Ferrari,Ferrari,Ferrari,Ferrari,Ferrari,Ferrari,Ferrari,Ferrari 。概述 (0)踩踩(0) 所需:1积分 机械设备设计方案 高速喷水织布机单片机控制系统设计.zip.zip ...
cocostuff10k, ( 过期) COCO 10K 数据集的官方主页 coco-stuff dataset dataset dataset ( 过时的),Ferrari,Ferrari,Ferrari,Ferrari,Ferrari,Ferrari,Ferrari,Ferrari,Ferrari 。概述 开源2019-09-17 上传大小:429KB 所需:46积分/C币 图像显著性检测数据集MSRA10K数据集百度云 ...
Runcd models/deeplab && ./run_cocostuff_vgg16.shto train and test the network on COCO-Stuff. The default Deeplab model performs center crops of size 513*513 pixels of an image, if any side is larger than that. Since we want to segment the whole image at test time, we choose to res...
Note: Although the label indices range from 0 to 181 in COCO-Stuff 10k/164k, only171 classesare supervised. Common settings: Model: DeepLab v2 with ResNet-101 backbone. Dilated rates of ASPP are (6, 12, 18, 24). Output stride is 8. ...
OpenMMLab Semantic Segmentation Toolbox and Benchmark. - mmsegmentation/configs/deeplabv3/deeplabv3_r101-d8_4xb4-20k_coco-stuff10k-512x512.py at main · open-mmlab/mmsegmentation