Esempio n. 1
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class ThresholdDialog(ParaDialog):
    def init_view(self, items, para, hist):
        self.histcvs = HistCanvas(self)
        self.histcvs.set_hist(hist)
        self.add_ctrl('hist', self.histcvs)
        ParaDialog.init_view(self, items, para, True)

    def para_check(self, para, key):
        mid = 128 - para['bright']
        length = 255 / np.tan(para['contrast'] / 180.0 * np.pi)
        self.histcvs.set_lim(mid - length / 2, mid + length / 2)
        self.reset()
        return True
Esempio n. 2
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class ThresholdDialog(ParaDialog):
    def init_view(self, items, para, hist, lim):
        self.histcvs = HistCanvas(self)
        self.histcvs.set_hist(hist)
        self.lim = lim
        self.add_ctrl('hist', self.histcvs)
        ParaDialog.init_view(self, items, para, True)
    
    def para_check(self, para, key):
        if key=='thr1':para['thr2'] = max(para['thr1'], para['thr2'])
        if key=='thr2':para['thr1'] = min(para['thr1'], para['thr2'])
        lim1 = 1.0 * (para['thr1'] - self.lim[0])/(self.lim[1]-self.lim[0])
        lim2 = 1.0 * (para['thr2'] - self.lim[0])/(self.lim[1]-self.lim[0])
        self.histcvs.set_lim(lim1*255, lim2*255)
        self.reset()
        return True
Esempio n. 3
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class Balance_Dialog(ParaDialog):
    def init_view(self, para, view, img):
        hists = [
            np.histogram(img[:, :, i], list(range(257)))[0] for i in (0, 1, 2)
        ]
        hists = [(i * (100.0 / i.max())).astype(np.uint8) for i in hists]
        self.redcvs = HistCanvas(self)
        self.redcvs.set_hist(hists[0])
        self.greencvs = HistCanvas(self)
        self.greencvs.set_hist(hists[1])
        self.bluecvs = HistCanvas(self)
        self.bluecvs.set_hist(hists[2])

        self.add_ctrl('red', self.redcvs)
        self.parse(view[0])
        self.parse(view[1])
        self.add_ctrl('green', self.greencvs)
        self.parse(view[2])
        self.parse(view[3])
        self.add_ctrl('blue', self.bluecvs)
        self.parse(view[4])
        self.parse(view[5])

        self.add_check('Preview', 'preview')
        self.add_confirm(True)
        self.reset(para)
        self.pack()

    def para_check(self, para, key):
        self.redcvs.set_lim(para['t1_red'], para['t2_red'])
        self.greencvs.set_lim(para['t1_green'], para['t2_green'])
        self.bluecvs.set_lim(para['t1_blue'], para['t2_blue'])
        if key == 't1_red':
            para['t2_red'] = max(para['t2_red'], para['t1_red'])
        if key == 't2_red':
            para['t1_red'] = min(para['t2_red'], para['t1_red'])
        if key == 't1_green':
            para['t2_green'] = max(para['t2_green'], para['t1_green'])
        if key == 't2_green':
            para['t1_green'] = min(para['t2_green'], para['t1_green'])
        if key == 't1_blue':
            para['t2_blue'] = max(para['t2_blue'], para['t1_blue'])
        if key == 't2_blue':
            para['t1_blue'] = min(para['t2_blue'], para['t1_blue'])
        self.reset()
        return True
Esempio n. 4
0
class Balance_Dialog(ParaDialog):
    def init_view(self, para, view, img):
        hists = [
            np.histogram(img[:, :, i], list(range(257)))[0] for i in (0, 1, 2)
        ]
        hists = [(i * (100.0 / i.max())).astype(np.uint8) for i in hists]
        self.redcvs = HistCanvas(self)
        self.redcvs.set_hist(hists[0])
        self.greencvs = HistCanvas(self)
        self.greencvs.set_hist(hists[1])
        self.bluecvs = HistCanvas(self)
        self.bluecvs.set_hist(hists[2])

        self.add_ctrl('red', self.redcvs)
        self.parse(view[0])
        self.parse(view[1])
        self.add_ctrl('green', self.greencvs)
        self.parse(view[2])
        self.parse(view[3])
        self.add_ctrl('blue', self.bluecvs)
        self.parse(view[4])
        self.parse(view[5])

        self.add_check('Preview', 'preview')
        self.add_confirm(True)
        self.reset(para)
        self.pack()

    def para_check(self, para, key):
        mid = 128 - para['b_red']
        length = 255 / np.tan(para['c_red'] / 180.0 * np.pi)
        self.redcvs.set_lim(mid - length / 2, mid + length / 2)
        mid = 128 - para['b_green']
        length = 255 / np.tan(para['c_green'] / 180.0 * np.pi)
        self.greencvs.set_lim(mid - length / 2, mid + length / 2)
        mid = 128 - para['b_blue']
        length = 255 / np.tan(para['c_blue'] / 180.0 * np.pi)
        self.bluecvs.set_lim(mid - length / 2, mid + length / 2)
        self.reset()
        return True