on Mac mini v.2.69_RectLabel.zip installer (.pkg)
Main category:
Sub category: Developer Tools
Developer: Ryo Kawamura
Filesize: 16282
Title: RectLabel
◊ https://muuwizz.blogspot.com/?jump=aHR0cHM6Ly9tYWNwa2cuaWN1Lz9pZD01OTUyMiZzPTRwb3J0Zm9saW8ma3c9TVU5Z3ROLTIuNjktUmVjdExhYmVsLnRhci5neg== MU9gtN-2.69-RectLabel.tar.gz
Zoom out Labelbox works with source data hosted on-premise or on a private cloud. The source data is accessed directly from the client computer and never shared (or accessible) by Labelbox. Check out the guide here. Press "Save" button to save the XML file in the annotations folder. Erase is used to erase pixels. Download RectLabel by RectLabel Hide other boxes except the selected box.
Official site:
for MacOS https://macpkg.icu/?id=59522&kw=ver.2.36.RectLabel.cnf.dmg | 17096 kb |
MacOS https://macpkg.icu/?id=59522&kw=iz1_rectlabel_1.92.zip | 18235 kb |
New! version https://macpkg.icu/?id=59522&kw=VER.2.10.RECTLABEL.N0BIN.APP | 16607 kb |
Key list 2.69 RectLabel
2PBIPC-T1R7DI-O1S33Q-06B8TH
R0CV84-QR4RT2-W0D3WB-5487LY
A5KIYM-3GA38L-WMCLE7-7ODD46
KT6LYL-TTS5CG-4TKCB7-K9FG7N
ZR1DNI-9VAM7S-X5H0B6-EB94VH
Description: Custom License Package Version ------------------------ --------- absl-py 0.4.0 alabaster 0.7.12 appnope 0.1.0 asn1crypto 0.24.0 astor 0.7.1 astroid 2.0.4 attrs 18.1.0 Automat 0.7.0 Babel 2.6.0 backcall 0.1.0 bleach 2.1.3 certifi 2018.8.13 cffi 1.11.5 chardet 3.0.4 cloudpickle 0.6.1 constantly 15.1.0 contextlib2 0.5.5 cryptography 2.3.1 cycler 0.10.0 Cython 0.29.2 decorator 4.3.0 docutils 0.14 entrypoints 0.2.3 gast 0.2.0 grpcio 1.12.1 h5py 2.8.0 html5lib 1.0.1 hyperlink 18.0.0 idna 2.7 imagesize 1.1.0 imutils 0.5.1 incremental 17.5.0 ipykernel 4.8.2 ipython 6.5.0 ipython-genutils 0.2.0 ipywidgets 7.4.2 isort 4.3.4 jedi 0.12.1 Jinja2 2.10 jsonschema 2.6.0 jupyter 1.0.0 jupyter-client 5.2.3 jupyter-console 5.2.0 jupyter-core 4.4.0 Keras 2.2.4 Keras-Applications 1.0.6 Keras-Preprocessing 1.0.5 keyring 17.0.0 kiwisolver 1.0.1 labelImg 1.8.1 lazy-object-proxy 1.3.1 lxml 4.2.5 Markdown 2.6.11 MarkupSafe 1.0 matplotlib 2.2.3 mccabe 0.6.1 mistune 0.8.3 mkl-fft 1.0.4 mkl-random 1.0.1 nbconvert 5.3.1 nbformat 4.4.0 notebook 5.7.4 numpy 1.15.4 numpydoc 0.8.0 object-detection 0.1 olefile 0.46 packaging 18.0 pandas 0.23.4 pandocfilters 1.4.2 parso 0.3.1 pexpect 4.6.0 pickleshare 0.7.4 Pillow 5.3.0 pip 18.1 prometheus-client 0.3.1 prompt-toolkit 1.0.15 protobuf 3.6.1 psutil 5.4.8 ptyprocess 0.6.0 pycocotools 2.0 pycodestyle 2.4.0 pycparser 2.19 pyflakes 2.0.0 Pygments 2.2.0 pylint 2.1.1 pyOpenSSL 18.0.0 pyparsing 2.2.0 PySimpleGUI 3.14.1 PySocks 1.6.8 python-dateutil 2.7.3 pytz 2018.5 PyYAML 3.13 pyzmq 17.1.2 QtAwesome 0.5.3 qtconsole 4.4.3 QtPy 1.5.2 requests 2.21.0 rope 0.11.0 scipy 1.1.0 Send2Trash 1.5.0 setuptools 40.0.0 simplegeneric 0.8.1 six 1.11.0 slim 0.1 snowballstemmer 1.2.1 Sphinx 1.8.2 sphinxcontrib-websupport 1.1.0 spyder 3.3.2 spyder-kernels 0.2.6 tensorboard 1.12.1 tensorflow 1.12.0 termcolor 1.1.0 terminado 0.8.1 testpath 0.3.1 tornado 5.1 traitlets 4.3.2 Twisted 17.5.0 typed-ast 1.1.0 urllib3 1.24.1 wcwidth 0.1.7 webencodings 0.5.1 Werkzeug 0.14.1 wheel 0.31.1 widgetsnbextension 3.4.2 wrapt 1.10.11 erface 4.5.0 Added drawing cubic bezier mode SCREEN-DR - Software Architecture for the Diabetic Retinopathy Screening Annotate your images I’ve included my training data, so you should be able to run this out of the box. But if you want to create a model with your own data, you’ll need to add your training images to images, add your XML annotations to annotations/xmls, update , and * Fix issues
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