如何利用工厂产生的废铁屑 heatmap 产生 bounding boxes

LEAR - Image Annotation Tool - Alexander Kl&ser
Alexander Kl&ser
Image annotation tool with bounding boxes
I wrote an tool that facilitates the annotation of objects in images with bounding boxes. It has been written in Qt, it therefore is portable to different platforms.
annotation of objects with bounding boxes
support for easily modifying, copying and pasting bounding boxes
zoom in/out
per object, freely chosen "fix points" can mark additional points on objects (these can be used to align annotated objects more accurately)
the rotation of an object can be annotated (with fix points)
each object can have freely chosen properties (numbers, text)
the tool can even by used to visualize detection results (ordered by a score value)
a subset of visible objects in an image can be chosen
support for properties of images (numbers, text)
selection of objects by filtering over properties
alignment and extraction of selected objects
generation of random samples per annotated object by applying various distortion methods
Download: as
such that you may build it yourself on your platform (the README file explains how to do that and gives also some information about the internal format).
In the Image Annotation Tool, you have a menu help-&shortcuts that gives you a short list of the most common short cuts. Otherwise, keep the cursor for a longer while over buttons or text fields (in the extract dialog) to get some more hints and information. In case I missed something or you have a question, .
Here you see a screenshot under Linux:
by Alexander Kl&ser 2010&君,已阅读到文档的结尾了呢~~
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3秒自动关闭窗口CRAN - Package fheatmap
fheatmap: Fantastic Heatmap
R function to plot high quality, elegant heatmap using 'ggplot2' graphics .
Some of the important features of this package are, coloring of row/column side tree with
respect to the number of user defined cuts in the cluster, add annotations to both columns
and rows, option to input annotation palette for tree and column annotations and multiple
parameters to modify aesthetics (style, color, font) of texts in the plot.
Published:
Vaishali Tumulu and Sivasish Sindiri
Maintainer:
Sivasish Sindiri <sentisci at gmail.com>
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