「输入」:(demo/demo.png) 「输出」:(result.jpg) 「推理Demo代码」:demo/image_demo.py # Copyright (c) OpenMMLab. All rights reserved. from argparse import ArgumentParser from mmengine.model import revert_sync_batchnorm from mmseg.apis import inference_model, init_model, show_result_pyplot def ...
由于我的实验都是基于MMSeg再autodl云平台做的,训练好模型后使用demo/image_demo_with_inference.py获得的推理图会带有标签,如下 解决办法 MMSeg版本为1.2.1 使用demo/image_demo.py推理,将show_result_pyplot的show参数设为false,这是因为云服务器场景不能像windows那样跳出一个框展示推理图 把show_result_pyplot的...
python demo/image_demo.py \ data/street_uk.jpeg \ configs/mask2former/mask2former_swin-l-in22k-384x384-pre_8xb2-90k_cityscapes-512x1024.py \ https://download.openmmlab.com/mmsegmentation/v0.5/mask2former/mask2former_swin-l-in22k-384x384-pre_8xb2-90k_cityscapes-512x1024/mask2former_sw...
demo [Fix] Fix no revert_sync_batchnorm in image_demo of master branch (#2489) 2年前 docker bump v0.30.0 (#2462) 2年前 docs [Doc] Fix inference doc (#2787) 2年前 mmseg [Feature] Add support for the focal Tversky loss (#2791) ...
python demo/image_demo.py demo/demo.png pspnet_r50-d8_512x1024_40k_cityscapes.py pspnet_r50-d8_512x1024_40k_cityscapes_20200605_003338-2966598c.pth --device cpu --out-file result.jpg 1. 如果运行成功,会在当前文件夹中看到一张新的图片 ...
transforms=[dict(type='Resize', keep_ratio=True),dict(type='RandomFlip'),dict(type='Normalize', **img_norm_cfg),dict(type='ImageToTensor', keys=['img']),dict(type='Collect', keys=['img']), ]) ] data =dict( samples_per_gpu=4, ...
# test a single image img = 'demo/demo.png' result = inference_segmentor(model, img) # show the results show_result_pyplot(model, img, result, get_palette('cityscapes')) /content/mmsegmentation/mmseg/models/segmentors/base.py:265: UserWarning: show==False and out_file is not specified,...
demo MMSegmentation_Tutorial.ipynb demo.png image_demo.py inference_demo.ipynb video_demo.py docker docs mmseg projects requirements resources tests tools .gitignore .owners.yml .pre-commit-config.yaml .readthedocs.yml CITATION.cff LICENSE LICENSES.md MANIFEST.in README.md README_zh-CN.md model-...
File "F:\GaoFen\mmsegmentation\demo\image_demo.py", line 51, in main() File "F:\GaoFen\mmsegmentation\demo\image_demo.py", line 38, in main show_result_pyplot( File "F:\GaoFen\mmsegmentation\mmseg\apis\inference.py", line 170, in show_result_pyplot visualizer = SegLocalVisualizer( Fi...
不过,“semi-local”一词更合适。 当前online demo的实现基于原始NL-means的patch版本。 此版本基于一个简单的观察。 在计算欧几里得距离d(B(p),B(q))时,patch B(p)中的所有像素都具有相同的重要性,因此权重f(d(B(p),B(q)) 可以用来对patch B(p)中的所有像素进行去噪,而不仅限于p。