def get_env(self):
now = datetime.datetime.now()
uptime = now - self.launch_time
days = uptime.days
minutes, seconds = divmod(uptime.seconds, utilities.SECONDS_PER_MINUTE)
hours, minutes = divmod(minutes, utilities.MINUTES_PER_HOUR)
s = ('''
Smart Module Status
Software Version v{version}
Running on: {platform}
Encoding: {encoding}
Python Information
- Executable: {executable}
- v{sys_version}
- location: {executable}
Timestamp: {timestamp}
Uptime: This Smart Module has been online for:
{days} days, {hours} hours, {minutes} minutes and {seconds} seconds.
''').format(
version=utilities.VERSION,
platform=sys.platform,
encoding=sys.getdefaultencoding(),
executable=sys.executable,
sys_version=sys.version.split()[0],
timestamp=now.strftime('%Y-%m-%d %H:%M:%S'),
days=days,
hours=hours,
minutes=minutes,
seconds=seconds,
)
s = utilities.trim(s) + '\n'
try:
self.comm.send("ENV/RESPONSE", s)
except Exception as excpt:
Log.exception("Error getting environment data: %s.", excpt)
def get_env(self):
now = datetime.datetime.now()
uptime = now - self.launch_time
days = uptime.days
minutes, seconds = divmod(uptime.seconds, utilities.SECONDS_PER_MINUTE)
hours, minutes = divmod(minutes, utilities.MINUTES_PER_HOUR)
s = ('''
Smart Module Status
Software Version v{version}
Running on: {platform}
Encoding: {encoding}
Python Information
- Executable: {executable}
- v{sys_version}
- location: {executable}
Timestamp: {timestamp}
Uptime: This Smart Module has been online for:
{days} days, {hours} hours, {minutes} minutes and {seconds} seconds.
''').format(
version=utilities.VERSION,
platform=sys.platform,
encoding=sys.getdefaultencoding(),
executable=sys.executable,
sys_version=sys.version.split()[0],
timestamp=now.strftime('%Y-%m-%d %H:%M:%S'),
days=days,
hours=hours,
minutes=minutes,
seconds=seconds,
)
s = utilities.trim(s) + '\n'
try:
self.comm.send("ENV/RESPONSE", s)
except Exception as excpt:
Log.exception("Error getting environment data: %s.", excpt)
def preprocess_data(img, dim=100):
'''
this function preprocesses and augments the image
Args:
img: image data
dim (int): dimension the image should be reduced to
Returns:
img (np.array): preprocessed image
'''
img = crop_center(img)
img = cv2.resize(img, (dim, dim))
img_seg = segmentation(img)
img_seg = trim(img_seg)
img_seg = cv2.resize(img_seg, (dim, dim))
img_gaus = cv2.GaussianBlur(img, (5, 5), 0)
img_gaus = cv2.cvtColor(img_gaus, cv2.COLOR_RGB2BGR)
img_hog = hog_features(img)
img_hu = hu_moments(img)
img_col = col_histogram(img)
img = np.hstack([img_seg.flatten(), img_hog, img_hu, img_col])
return img
def get_allowed_in_square_of(self, x, y):
xs = trim(x, self._step)
ys = trim(y, self._step)
n2 = self._step
vals = [ self._board.get(i+xs,k+ys) for i in range(n2) for k in range(n2) ]
return self._missing(vals)