def run(self, para=None):
root_dir = osp.abspath(osp.dirname(self.path))
print(root_dir)
path = osp.join(root_dir, self.name)
if osp.isfile(path):
fp, fn = osp.split(path)
fn, fe = osp.splitext(fn)
read = ReaderManager.get(fe[1:])
view = ViewerManager.get(fe[1:]) or IPy.show_img
group, read = (True,
read[0]) if isinstance(read, tuple) else (False,
read)
img = read(path)
if img.dtype == np.uint8 and img.ndim == 3 and img.shape[2] == 4:
img = img[:, :, :3].copy()
if not group: img = [img]
else:
names = [i for i in os.listdir(path) if '.' in i]
read = ReaderManager.get(names[0].split('.')[1])
view = ViewerManager.get(names[0].split('.')[1]) or IPy.show_img
imgs = []
for i in range(len(names)):
self.progress(i, len(names))
imgs.append(read(osp.join(path, names[i])))
img = imgs
view(img, self.title)
def run(self, para=None):
fp, fn = os.path.split(para['path'])
fn, fe = os.path.splitext(fn)
read = ReaderManager.get(fe[1:])
view = ViewerManager.get(fe[1:]) or show
try:
img = read(para['path'])
except:
IPy.alert('unknown img format!')
return
files = self.getfiles(para['path'])
files.sort()
imgs = self.readimgs(files[para['start']:para['end'] + 1:para['step']],
read, img.shape, img.dtype)
view(imgs, para['title'])
from imagepy.core.util import fileio
from skimage.io import imread, imsave
from imagepy.core.manager import ReaderManager, WriterManager
ReaderManager.add('jpg', imread)
WriterManager.add('jpg', imsave)
ReaderManager.add('jpeg', imread)
WriterManager.add('jpeg', imsave)
class OpenFile(fileio.Reader):
title = 'JPG Open'
filt = ['JPG','JPEG']
class SaveFile(fileio.Writer):
title = 'JPG Save'
filt = ['JPG','JPEG']
plgs = [OpenFile, SaveFile]
def load(self):
self.filt = sorted(ReaderManager.all())
return True
from imagepy.core.util import fileio
from skimage.io import imread, imsave
from imagepy.core.manager import ReaderManager, WriterManager
ReaderManager.add('tif', imread)
WriterManager.add('tif', imsave)
class OpenFile(fileio.Reader):
title = 'TIF Open'
filt = [('TIF', ('TIF', 'TIFF', 'tif', 'tiff'))]
class SaveFile(fileio.Writer):
title = 'TIF Save'
filt = [('TIF', ('TIF', 'TIFF', 'tif', 'tiff'))]
plgs = [OpenFile, SaveFile]
from imagepy.core.util import fileio
import numpy as np
from imagepy.core.manager import ReaderManager, WriterManager
def imread(path):
return np.loadtxt(path,dtype=float)
def imsave(path,img):
np.savetxt(path,img)
ReaderManager.add('dat', imread)
WriterManager.add('dat', imsave)
class OpenFile(fileio.Reader):
title = 'DAT Open'
filt = ['DAT']
class SaveFile(fileio.Writer):
title = 'DAT Save'
filt = ['DAT']
plgs = [OpenFile,SaveFile]
def start(self, para=None, callafter=None):
wb = pyxl.load_workbook(self.cont)
xlreport.repair(wb)
info, key = xlreport.parse(wb)
if para is not None:
return self.runasyn(wb, info, para, callafter)
dialog = GridDialog(IPy.curapp, self.title, info, key)
rst = dialog.ShowModal()
para = dialog.GetValue()
dialog.Destroy()
if rst != 5100: return
filt = '|'.join(['%s files (*.%s)|*.%s' % ('XLSX', 'xlsx', 'xlsx')])
if not IPy.getpath('Save..', filt, 'save', para): return
win = WidgetsManager.getref('Macros Recorder')
if win != None: win.write('{}>{}'.format(self.title, para))
self.runasyn(wb, info, key, para, callafter)
def show_rpt(data, title):
wx.CallAfter(Report(title, data).start)
ViewerManager.add('rpt', show_rpt)
def read_rpt(path):
return path
ReaderManager.add('rpt', read_rpt, tag='rpt')
def load(self):
self.filt = sorted(ReaderManager.get(tag=None))
return True
from imagepy.core.util import tableio
from pandas import read_csv, read_excel, read_hdf
from imagepy import IPy
from imagepy.core.manager import ReaderManager, WriterManager, ViewerManager
def show(data, title):
IPy.show_table(data, title)
ViewerManager.add('tab', show)
save_csv = lambda path, data: data.to_csv(path)
ReaderManager.add('csv', read_csv, tag='tab')
WriterManager.add('csv', save_csv, tag='tab')
class OpenCSV(tableio.Reader):
title = 'CSV Open'
filt = ['csv']
class SaveCSV(tableio.Writer):
title = 'CSV Save'
filt = ['csv']
save_excel = lambda path, data: data.to_excel(path)
ReaderManager.add(['xls', 'xlsx'], read_excel, tag='tab')
WriterManager.add(['xls', 'xlsx'], save_excel, tag='tab')
from imagepy.core.util import fileio
import numpy as np
from imagepy.core.manager import ReaderManager, WriterManager
from imagepy import IPy
import os
ReaderManager.add('npy', np.load)
WriterManager.add('npy', np.save)
class OpenFile(fileio.Reader):
title = 'Numpy Open'
filt = ['npy']
class SaveFile(fileio.Writer):
title = 'Numpy Save'
filt = ['npy']
class Open3D(fileio.Reader):
title = 'Numpy 3D Open'
filt = ['npy']
def run(self, para=None):
imgs = np.load(para['path'])
fp, fn = os.path.split(para['path'])
fn, fe = os.path.splitext(fn)
IPy.show_img(imgs, fn)
from imagepy.core.util import fileio
from skimage.io import imread, imsave
from imagepy.core.manager import ReaderManager, WriterManager
ReaderManager.add('bmp', imread)
WriterManager.add('bmp', imsave)
class OpenFile(fileio.Reader):
title = 'BMP Open'
filt = ['BMP']
class SaveFile(fileio.Writer):
title = 'BMP Save'
filt = ['BMP']
plgs = [OpenFile, SaveFile]
def run(self):
self.next()
#IPy.run_macros(self.cmds)
def __call__(self):
return self
def start(self, para=None, callafter=None):
self.callafter = callafter
self.cur = 0
self.run()
def show_mc(data, title):
wx.CallAfter(Macros(title, data).start)
ViewerManager.add('mc', show_mc)
def read_mc(path):
f = open(path, encoding='utf-8')
cont = f.readlines()
f.close()
print(cont)
return cont
ReaderManager.add('mc', read_mc, tag='mc')
from imagepy.core.util import fileio
from scipy.io import savemat, loadmat
from imagepy.core.manager import ReaderManager, WriterManager
from imagepy import IPy
import os
ReaderManager.add('mat', lambda path: loadmat(path)['img'])
WriterManager.add('mat', lambda path, img: savemat(path, {'img': img}))
class OpenFile(fileio.Reader):
title = 'Mat Open'
filt = ['Mat']
class SaveFile(fileio.Writer):
title = 'Mat Save'
filt = ['mat']
class Open3D(fileio.Reader):
title = 'Mat 3D Open'
filt = ['Mat']
def run(self, para=None):
imgs = loadmat(para['path'])['img']
fp, fn = os.path.split(para['path'])
fn, fe = os.path.splitext(fn)
IPy.show_img(imgs, fn)
self.cont = cont
def __call__(self):
return self
def start(self, para=None, callafter=None):
pan = WorkFlowPanel(IPy.curapp)
pan.load(self.cont, self.workflow)
info = aui.AuiPaneInfo(). DestroyOnClose(True). Left(). Caption(self.title) .PinButton( True ) \
.Resizable().FloatingSize( wx.DefaultSize ).Dockable(IPy.uimode()=='ipy').Layer( 5 )
if IPy.uimode()=='ipy': info.Dock().Top()
if IPy.uimode()=='ij': info.Float()
IPy.curapp.auimgr.AddPane(pan, info)
IPy.curapp.Layout()
IPy.curapp.auimgr.Update()
def show_wf(data, title):
wx.CallAfter(WorkFlow(title, data).start)
ViewerManager.add('wf', show_wf)
def read_wf(path):
f = open(path, encoding='utf-8')
cont = f.read()
f.close()
print(cont)
return cont
ReaderManager.add('wf', read_wf, tag='wf')
from imagepy.core.util import fileio
import pydicom
from imagepy.core.manager import ReaderManager, WriterManager
def imread(path):
return pydicom.read_file(path, force=True).pixel_array
ReaderManager.add('dcm', imread)
class OpenFile(fileio.Reader):
title = 'DCM Open'
filt = ['DCM']
plgs = [OpenFile]
from imagepy.core.util import fileio
from imagepy.core.engine import Free, Simple
from imagepy import IPy
from scipy.misc import imread, imsave
from imagepy.core.manager import ReaderManager, WriterManager
import cv2, wx, os
import numpy as np
ReaderManager.add('tif', lambda p:cv2.imread(p, False))
WriterManager.add('tif', cv2.imwrite)
class OpenFile(fileio.Reader):
title = 'TIF Open'
filt = ['TIF']
class SaveFile(fileio.Writer):
title = 'TIF Save'
filt = ['TIF']
class Writer(Simple):
title = 'Video Writer'
note = ['rgb', '8-bit']
para = {'path':'','fps':24, 'down':1}
#para = {'path':'./','name':'','format':'png'}
view = [(int, 'fps', (1,120), 0, 'frame', '/s'),
(int, 'down', (1,10), 0, 'down sample', 'down', '')]
def show(self):
self.para['name'] = self.ips.title
rst = IPy.get_para('Save Video', self.view, self.para)
from imagepy.core.util import fileio
from scipy.misc import imread, imsave
from imagepy.core.manager import ReaderManager, WriterManager
ReaderManager.add('png', imread)
WriterManager.add('png', imsave)
class OpenFile(fileio.Reader):
title = 'PNG Open'
filt = ['PNG']
class SaveFile(fileio.Writer):
title = 'PNG Save'
filt = ['PNG']
plgs = [OpenFile, SaveFile]
import wx, joblib, os, shutil, os.path as osp
from glob import glob
from imagepy.core.manager import RoiManager, ImageManager, ReaderManager, ViewerManager
from imagepy.core.engine import Macros
from . import classify_plgs as manager
from .predict_plg import Plugin as FCL
from imagepy import IPy
ReaderManager.add('fcl', lambda x: x, 'fcl')
ViewerManager.add('fcl', lambda x, n: wx.CallAfter(FCL(path=x).start))
class Plugin(wx.Panel):
title = 'Feature Classify Panel'
def __init__(self, parent):
wx.Panel.__init__(self,
parent,
id=wx.ID_ANY,
pos=wx.DefaultPosition,
size=wx.Size(256, 256),
style=wx.TAB_TRAVERSAL)
sizer = wx.BoxSizer(wx.HORIZONTAL)
sizer_btns = wx.BoxSizer(wx.VERTICAL)
self.btn_save = wx.Button(self, wx.ID_ANY, u"Save", wx.DefaultPosition,
wx.DefaultSize, 0)
sizer_btns.Add(self.btn_save, 0, wx.ALL, 5)