cnn-runner

View on PyPIReverse Dependencies (0)

0.40 cnn_runner-0.40-py3-none-any.whl
0.33 cnn_runner-0.33-py3-none-any.whl

Wheel Details

Project: cnn-runner
Version: 0.33
Filename: cnn_runner-0.33-py3-none-any.whl
Download: [link]
Size: 263238
MD5: 1a9f578918d478f3b41a38ca4c931580
SHA256: 7daa671c8f72e3cb46cf91950a48a7a7d26fa4e2e9d826c1ae22ac730c1ca3d8
Uploaded: 2022-10-15 19:59:10 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: cnn-runner
Version: 0.33
Summary: Software package for CNN run
Author: Xabarov Roman
Author-Email: Xabarov Roman <xabarov1985[at]gmail.com>
Home-Page: https://github.com/xabarov/cnn_runner
Project-Url: Homepage, https://github.com/xabarov/cnn_runner
License: Copyright (c) 2018 The Python Packaging Authority Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.9
Requires-Dist: matplotlib (>=3.5)
Requires-Dist: matplotlib-inline (>=0.1.3)
Requires-Dist: numba (>=0.56.0)
Requires-Dist: numpy (>=1.22.4)
Requires-Dist: pandas (>=1.4.3)
Requires-Dist: scipy (>=1.9.0)
Requires-Dist: tqdm (>=4.64.0)
Requires-Dist: tqdm-stubs (>=0.2.1)
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 229 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.37.1)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
cnn_runner/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
cnn_runner/main.py sha256=fxe1N7tS2p8w00BAKnGu03cEdFy4Iz3wyimi041hHns 51699
cnn_runner/icons/loading-51.gif sha256=-sB1hntsEeQ2-7PnIGlTa8jCEPkwnZvs-I44daA69vc 99370
cnn_runner/icons/loading-63.gif sha256=CyTxMjMxR4rGb7NM5nFTF8JiB1SUv0xVTQBvBxt2KFo 10404
cnn_runner/icons/loading-64.gif sha256=bz4ry4e7gjuTSO7zuKE-hjiFPxgU0mDzPTnYaBee16U 10386
cnn_runner/icons/loading-65.gif sha256=WvlwyawNMGEuTEVzyZSpcrf3oEV9Yqc44LFN3Q6nHMk 10488
cnn_runner/icons/loading-66.gif sha256=O-ElkWl_Ms4ICziH54IDFTJwwn1z34qmfMsMj-n0aLU 10529
cnn_runner/icons/~$icons.xlsx sha256=7rmJhaEbUuSNY9w1jK1JH7EwoMT98LsiS3XoMlU9KeY 165
cnn_runner/mask_r_cnn/__init__.py sha256=AbpHGcgLb-kRsJGnwFEktk7uzpZOCcBY74-YBdrKVGs 1
cnn_runner/mask_r_cnn/aes_visual_detect.py sha256=ncQ3RqMLvC-ZgtWnv9ZiKkEbWrDJBv39NRVmPiCEEng 7207
cnn_runner/mask_r_cnn/run_sem_seg.py sha256=Pn6Nab873hinhqS9R6bRD3-MMJIB5wZtMFrVyGJvmTw 12038
cnn_runner/mm_detector/__init__.py sha256=AbpHGcgLb-kRsJGnwFEktk7uzpZOCcBY74-YBdrKVGs 1
cnn_runner/mm_detector/run_mm_detection.py sha256=9yl8gNJkhOdBB48f14pUaALlcnASIk6gFj8jgZgzh8g 4529
cnn_runner/utils/__init__.py sha256=AbpHGcgLb-kRsJGnwFEktk7uzpZOCcBY74-YBdrKVGs 1
cnn_runner/utils/canny_edge.py sha256=cVhxPp1qpboOj-e2OKaU3nBd2w2BiolG7WMZoasEj9U 3090
cnn_runner/utils/cnn_worker.py sha256=l6uCrqlJXzYvyULVqgTusAYYtiexi_-p6fyWTKYb5rc 40086
cnn_runner/utils/img_hist_norm.py sha256=Gj_QxiA8nylF5PdcD9sDdmB6M3JvU0DwWcI7j0pYuoI 2462
cnn_runner/utils/my_rand_color.py sha256=jKFEpJad1KLvL15Kvfz42YLi0L_2hBGPTIQo519UBSc 4254
cnn_runner/utils/my_vizualizer.py sha256=Bd5EbIN0VAJbhlmrjnYy160YYnoimbflKrcZwvMfc0E 52359
cnn_runner/utils/result_table.py sha256=D9hvLMu5mmQaavC0NGsMXaCVl6D7rDdVN8C39BY-En0 3169
cnn_runner/utils/seg_image.py sha256=zW8pujyVM3a1_2NLFSWbI2VyNWCJ84vBuJecCQHAQts 2810
cnn_runner/utils/seg_learning.py sha256=qWZNjMvD4qmdNDmcYkaAtSrPR_tEKcEWUBc3ZTSZPA4 7711
cnn_runner/utils/settings_window.py sha256=bWMGTa3TJP9zhW4L4uWqXrkDYrHM3v47Fzk_cbgdy20 15494
cnn_runner/utils/show_img_window.py sha256=p8EY6aLCzB48LQwbeUyDLJcKXTemjFxqUGOZ_mIFJRU 13207
cnn_runner/utils/splash_screen.py sha256=wTGVLPe1i9sPNWLBRgekPFlyU5mrvN1zwtBVgMp_NLQ 1432
cnn_runner/utils/start_ml.py sha256=nUSFEownJKblIeXBZlym6JGRn7Rw0YtepYcYO1POGQs 3782
cnn_runner/utils/thres_slider.py sha256=zw8H5P-abBFMki69GLhMGhVY0zg1zxDGqd1yD_qHovc 1590
cnn_runner/utils/what_class_window.py sha256=OuexDLDda4WfwCHkEMLiIhy88mQzGNU8yljibEwZuvY 1556
cnn_runner/yolo/__init__.py sha256=AbpHGcgLb-kRsJGnwFEktk7uzpZOCcBY74-YBdrKVGs 1
cnn_runner/yolo/datasets.py sha256=fV6MfUPmQHfME9MR0Xu2rA0Q8NJ0Yt9zluRyHhTLN9k 46972
cnn_runner/yolo/detect_yolo.py sha256=3KLR4QiiqjAp_kVAk4Kj40bcFbyaaAWQtmeSiwJ7Ve4 13819
cnn_runner/yolor/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
cnn_runner/yolor/detect_yolor.py sha256=90YAAgQBpYNL4tsfUkSu0VxGYvfTxb8rcu_MkE72xSU 21645
cnn_runner/yolor/test.py sha256=COr_vMzlbuanXE_llTeITSUZ7RCClaqQp9ToQqUImZU 15913
cnn_runner/yolor/train.py sha256=Mgl514lSFLjo0L5yOK8k0qDotza7_tiBd7TYiEe5h_E 32538
cnn_runner/yolor/tune.py sha256=0E65Qr1K1miOCegw8xz69ZtARIFk9DVoorBBlNiEyuI 32546
cnn_runner/yolor/models_yolor/__init__.py sha256=AbpHGcgLb-kRsJGnwFEktk7uzpZOCcBY74-YBdrKVGs 1
cnn_runner/yolor/models_yolor/export.py sha256=9GCoALw90XBHT8pli_dgONzGpqMI79sKA9sUanaAEBE 2717
cnn_runner/yolor/models_yolor/models.py sha256=v7H0TTtom4VH-M6tYI77GUdBWpTf1xT1YhjT-C6AUmA 36698
cnn_runner/yolor/utils_yolor/__init__.py sha256=AbpHGcgLb-kRsJGnwFEktk7uzpZOCcBY74-YBdrKVGs 1
cnn_runner/yolor/utils_yolor/activations.py sha256=mtDs_tL3QwgXUl8M1HnjrUvoS6HTvADvXBHBM1lhGlM 2200
cnn_runner/yolor/utils_yolor/autoanchor.py sha256=twwl2-CC5YFabKb0_FR8O6cmGuoDJ366-5COUcuygSM 6707
cnn_runner/yolor/utils_yolor/datasets.py sha256=A7twmGCYPsu2uQ1d73Krl79YCarQJUPfNuFmHu49vuw 54968
cnn_runner/yolor/utils_yolor/general.py sha256=u2rGj5u-iXb7QyhvxzhjN_6nl-7M1G4v6w6O6-3ELfE 18768
cnn_runner/yolor/utils_yolor/google_utils.py sha256=gUJw4eAS-L7ClTkC-0ZL7P-R1Abf27dlJOWSwdz-AEM 4483
cnn_runner/yolor/utils_yolor/layers.py sha256=lp36KTIZfGCFzK7N7viI6_ghw-wliEgIMeojAPI05Co 18498
cnn_runner/yolor/utils_yolor/loss.py sha256=p5S--1CR9YMyRoZAY-qQwEnludXFMsWACCQUkNJfO78 7399
cnn_runner/yolor/utils_yolor/metrics.py sha256=vmxuZ9LKAHOVZ7L1AFG_xtJC_AYqo8Em2SlPZulAtC8 5137
cnn_runner/yolor/utils_yolor/parse_config.py sha256=VFeWMavkPpT6ddQW6HIGsdEDMkxWg7gOXlQEM-K0m3o 2995
cnn_runner/yolor/utils_yolor/plots.py sha256=5IPXUboFoe_5Lx_KTYv9hAbOu5wiBOp2QlX_eFRtcMU 15516
cnn_runner/yolor/utils_yolor/torch_utils.py sha256=jNQVAq95mtTR4G2bRvAx4hczttGddxKtsY465e3IceI 9396
cnn_runner-0.33.dist-info/LICENSE sha256=6kbiFSfobTZ7beWiKnHpN902HgBx-Jzgcme0SvKqhKY 1091
cnn_runner-0.33.dist-info/METADATA sha256=gaHYUjY35am7iN57VSYAbG2t9VDDhWMjaNggU_YF71Q 2231
cnn_runner-0.33.dist-info/WHEEL sha256=G16H4A3IeoQmnOrYV4ueZGKSjhipXx8zc8nu9FGlvMA 92
cnn_runner-0.33.dist-info/top_level.txt sha256=FmlM9RrMZnGVp9AkX1kA6-LcIFYB6wweoj2X8AYD5Tk 11
cnn_runner-0.33.dist-info/RECORD

top_level.txt

cnn_runner