def shoot_panorama(camera, motors, shots=5):
s = 1
im = IMR.ImageManager(image=camera.update()).scale(s, s)
rotation_time = 3 / shots # At a speed of 0.5(of max), it takes about 3 seconds to rotate 360 degrees
for i in range(shots - 1):
motors.right(0.5, rotation_time)
im = im.concat_horiz(IMR.ImageManager(image=camera.update()))
return im
def __init__(self, master=None):
""" Initialize main variables which will be used throughout the program.
"""
super().__init__(master)
self.master = master
#self.load_state()
self.filename = filedialog.askopenfilename()
#self.id = "default" # ID of the current opened document.
self.id = self.filename.split('/')[-1][:-4]
self.page_number = 1 # Which page is user reading?
self.last_visited_page = 1
self.zoom_rate = 1
self.img_x = 0 # Horizontal length of image
self.img_y = 0 # Vertical length of image
self.cards = card_manager.CardManager(
self) # Ancillary class to add cards to document.
self.anki = anki.Anki()
self.image_manager = image_manager.ImageManager(self)
self.create_widgets()
def setUp(self):
self.image_manager = image_manager.ImageManager()
self.image_surface = 'IMAGE_SURFACE'
self.image_filepath = 'IMAGE_FILEPATH'
self.image_id = 'IMAGE_ID'
print("Output shape after merge:", final_model.output_shape)
final_model.add(Dense(128))
final_model.add(Activation('relu'))
print("Output shape after dully connected:", final_model.output_shape)
final_model.add(Dense(nb_classes))
final_model.add(Activation('softmax'))
print("Output shape after softmax (2 classes):", final_model.output_shape)
#train_data partition
brains = [
"tka002", "tka003", "tka004", "tka005", "tka006", "tka007", "tka009",
"tka010", "tka011", "tka012", "tka013", "tka015", "tka016", "tka017",
"tka018", "tka019", "tka020", "tka021"
]
tr = imm.ImageManager() # load training data
res = []
def evaluate(model, X_test, y_test):
y_pred = model.predict(X_test)
mat = [[0, 0], [0, 0]] # [[TP,FP],[FN,TN]]
for i in range(len(y_pred)):
if y_test[i][1] == 0: # real negative
mat[1][1] += y_pred[i][0] #TN
mat[0][1] += y_pred[i][1] #FP
else:
mat[1][0] += y_pred[i][0] #FN
mat[0][0] += y_pred[i][1] #TP
# mat[0][0] /= len(y_pred)
def __init__(self, datafunc): self.tr = imm.ImageManager() self.datafunc = datafunc
def setUp(self):
self.image_manager = image_manager.ImageManager()
res.append(temp)
i = i + 1
return res
def caculate_mi_list(dir_path):
files = common.get_filelist(dir_path)
res = _caculate_mi_list(files[3], files[0:10])
data_a, data_b = Bar.cast(res)
print data_a
print data_b
bar = Line("甜甜的实验", "二哥出品")
bar.use_theme('vintage')
bar.add("数据", data_a, data_b)
bar.render()
return
if __name__ == '__main__':
# dir_path = "/home/snow/pengbaojiang/data/map_img/"
if len(sys.argv) != 2:
print "param error"
dir_path = sys.argv[1]
manager = ima.ImageManager("snow")
manager.add_dir(dir_path)
manager.load()
file_path = manager.get_allimages_path()
num = len(file_path)
print num
