| (napari) genevieve@genevieve-G5-5500:~$ pip install napari-pymeshlab | |
| Collecting napari-pymeshlab | |
| Using cached napari_pymeshlab-0.0.5-py3-none-any.whl (27 kB) | |
| Requirement already satisfied: npe2 in ./anaconda3/envs/napari/lib/python3.10/site-packages (from napari-pymeshlab) (0.6.2) | |
| Requirement already satisfied: numpy in ./anaconda3/envs/napari/lib/python3.10/site-packages (from napari-pymeshlab) (1.24.2) | |
| Collecting pymeshlab | |
| Downloading pymeshlab-2022.2.post2-cp310-cp310-manylinux1_x86_64.whl (56.9 MB) | |
| ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 56.9/56.9 MB 2.4 MB/s eta 0:00:00 | |
| Requirement already satisfied: rich in ./anaconda3/envs/napari/lib/python3.10/site-packages (from npe2->napari-pymeshlab) (13.3.1) | |
| Requirement already satisfied: psygnal>=0.3.0 in ./anaconda3/envs/napari/lib/python3.10/site-packages (from npe2->napari-pymeshlab) (0.7.2) |
| """Choose a threshold value using a magicgui widget in napari. | |
| Based on the magicgui excample script napari_parameter_sweep.py | |
| https://github.com/napari/magicgui/blob/main/examples/napari_param_sweep.py | |
| """ | |
| import napari | |
| import skimage.data | |
| import skimage.filters | |
| from napari.layers import Image | |
| from napari.types import LabelsData |
| class CupyContextManager: | |
| def __init__(self): | |
| self.previous_np = None | |
| def __enter__(self): | |
| self.previous_np = globals().get("np") | |
| import cupy as np | |
| globals()["np"] = np | |
| return np |
| #!/usr/bin/python3 | |
| # -*- coding: utf-8 -*- | |
| from PyQt5.QtCore import Qt | |
| from PyQt5.QtGui import QImage, QPixmap, QPalette, QPainter | |
| from PyQt5.QtPrintSupport import QPrintDialog, QPrinter | |
| from PyQt5.QtWidgets import QLabel, QSizePolicy, QScrollArea, QMessageBox, QMainWindow, QMenu, QAction, \ | |
| qApp, QFileDialog |
There's some kind of problem linking python to the existing CUDA 10 installation (CUDA 10.0 lives at C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.0\)
(base) C:\Users\CryoEM>conda activate CNNectome
(CNNectome) C:\Users\CryoEM>ipython
Python 3.6.12 |Anaconda, Inc.| (default, Sep 9 2020, 00:29:25) [MSC v.1916 64 bit (AMD64)]
Type 'copyright', 'credits' or 'license' for more information
| (CNNectome) C:\Users\CryoEM\Documents\GitHub\OpenOrganelle\CNNectome>pip install malis[malis_loss]@git+https://github.com/neptunes5thmoon/malis.git@fix_setup | |
| Collecting malis[malis_loss]@ git+https://github.com/neptunes5thmoon/malis.git@fix_setup | |
| Cloning https://github.com/neptunes5thmoon/malis.git (to revision fix_setup) to c:\users\cryoem\appdata\local\temp\pip-install-835bihd5\malis_d558e69fd2aa477b8a3ada5875704cf7 | |
| Running command git clone -q https://github.com/neptunes5thmoon/malis.git 'C:\Users\CryoEM\AppData\Local\Temp\pip-install-835bihd5\malis_d558e69fd2aa477b8a3ada5875704cf7' | |
| Running command git checkout -b fix_setup --track origin/fix_setup | |
| branch 'fix_setup' set up to track 'origin/fix_setup'. | |
| Switched to a new branch 'fix_setup' | |
| Resolved https://github.com/neptunes5thmoon/malis.git to commit 2a54eed480edc8b0e9948f24b1193a58c5714d2d | |
| WARNING: malis 1.0 does not provide the extra 'malis_loss' |
| # This file may be used to create an environment using: | |
| # $ conda create --name <env> --file <this file> | |
| # platform: osx-arm64 | |
| @EXPLICIT | |
| https://conda.anaconda.org/conda-forge/osx-arm64/c-ares-1.18.1-h3422bc3_0.tar.bz2 | |
| https://conda.anaconda.org/conda-forge/osx-arm64/ca-certificates-2021.10.8-h4653dfc_0.tar.bz2 | |
| https://conda.anaconda.org/conda-forge/osx-arm64/libcxx-12.0.1-h168391b_1.tar.bz2 | |
| https://conda.anaconda.org/conda-forge/osx-arm64/libev-4.33-h642e427_1.tar.bz2 | |
| https://conda.anaconda.org/conda-forge/osx-arm64/libffi-3.4.2-h3422bc3_5.tar.bz2 | |
| https://conda.anaconda.org/conda-forge/osx-arm64/libzlib-1.2.11-hee7b306_1013.tar.bz2 |