Comments (4)
Exactly, now that we have standard (uniform) dataset format (csv, voc ...), we can just detect current dataset and show the visualization of data. I guess we can add another tab on top of pipboard and name it 'data visualization'
from pipcook.
Or we have the data tab right now to show the basic information of each dataset currently stored in pipcook-output log dir. Just add a 'visulize' button in each dataset and direct to visualization
from pipcook.
IMO, the facets extension will register the Dataset click event, when user clicks, we will open the facets page for that data :)
from pipcook.
This really depends on our Pipboard Extension APIs, so let's achieve that firstly :p
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Related Issues (20)
- data in doc can not download HOT 1
- support deno HOT 1
- npm run 运行失败 HOT 1
- 目前pipline中目标检测模型脚本中 不支持传入预训练模型做参数
- 按照官方文档执行报错403 HOT 9
- 群二维码过期了 HOT 1
- The specified module could not be found HOT 1
- run pipeline error: Forbidden HOT 12
- 求一种可以离线运行脚本的方式 HOT 1
- i use object-detection on colab, when i predict, Origin result:[[]]
- boa init error HOT 1
- boa init error in centos8 HOT 1
- FaaS平台下执行boa失败 HOT 2
- Error: Boa install fails when npm installing in a folder name that contains a space HOT 4
- 数据集无法下载 HOT 1
- 我安装完之后没有什么反应,运行命令也没 HOT 1
- run pipeline error: Forbidden
- run pipeline error: Forbidden sudo pipcook train http://172.22.133.15:8000/image-classification-mobilenet.json
- 安装成功之后不管任何运行命令(比如 pipcook --help)都会打开 nodeJs 下的 pipcook.js 文件,然后程序就停止运行了
- 安装完成后无任何反应
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