def __init__(self, parent=None):
super(MyWidget, self).__init__(parent)
self.setupUi(self)
self.beach_dir = ""
self.forest_dir = ""
self.d = weights.data("weights")
self.ow, self.oh, self.inpf, self.inpb, self.w, self.m = self.d.load()
if self.ow == -1:
QtGui.QMessageBox.about(self, "ERROR", "error in weights file")
exit(0)
self.s = som.som(self.ow * self.oh * 3, self.inpf + self.inpb, 0.01)
self.s.init()
print self.ow * self.oh * 3 * (self.inpf + self.inpb), " ", len(self.m)
self.s.put_weights(self.w, self.m)
self.img1 = image.image(self.ow, self.oh)
self.img2 = image.image(self.ow, self.oh)
self.text = ""
self.f_dir = ""
self.b_dir = ""
self.timer = QtCore.QTimer()
self.timer.setInterval(1000)
self.timer.timeout.connect(self.re_write)
self.timer.start()
self.start.clicked.connect(self.start_func)
self.open_b.clicked.connect(self.open_b_dir)
self.open_f.clicked.connect(self.open_f_dir)
self.run = False
def __init__(self, parent=None):
super(MyWidget, self).__init__(parent)
self.setupUi(self)
self.d = weights.data("weights")
self.ow, self.oh, self.inpm, self.inpn, self.w, self.m = self.d.load()
if self.ow == -1:
QtGui.QMessageBox.about(self, "ERROR", "error in weights file")
exit(0)
self.s = som.som(self.ow * self.oh * 3, self.inpm + self.inpn, 0.01)
self.s.init()
self.s.put_weights(self.w, self.m)
self.file = ""
self.pushButton_2.clicked.connect(self.open)
self.pushButton.clicked.connect(self.open_file)
self.label.setScaledContents(True)
def __init__(self, parent=None):
super(MyWidget, self).__init__(parent)
self.setupUi(self)
self.ow = 80
self.oh = 60
self.d = weights.data("weights")
self.img = image.image(self.ow, self.oh)
self.timer = QtCore.QTimer()
self.timer.setInterval(1500)
self.timer.timeout.connect(self.re_write)
self.timer.start()
self.start.clicked.connect(self.start_func)
self.b_open.clicked.connect(self.open_b)
self.f_open.clicked.connect(self.open_f)
self.run = False
details.
* You should have received a copy of the GNU General Public License along with
this. If not, see http://www.gnu.org/licenses/.
"""
import som4
import weights
import image
ow = 640 / 8
oh = 480 / 8
d = weights.data("weights")
img = image.image(ow, oh)
num_classes = img.get_all_images("./forest")
num_classes = img.get_all_images("./beach")
s = som4.som(ow * oh * 3, num_classes, 0.01)
s.init()
img.save_all()
print num_classes
for i in range(0, num_classes):
dataset = img.get_data_set(i)
indx = s.learn(dataset, str(i))
