def southwest_crop(lat=51.3, lng = -3):
olga=np.genfromtxt('coord_lists/Olgas_list_gps.csv', delimiter=',', skip_header= True, dtype='float32')
southwest = snap_list(olga, zoom=ZOOM_LEVEL, img_size=IMAGE_SIZE)
southwesto = olga[np.logical_and(olga[:,1] < lat, olga[:,0]< lng), :]
southwest = snap_list(southwesto, zoom=ZOOM_LEVEL, img_size=IMAGE_SIZE)
print('Original num of sites: %d. Num of pictures to download: %d' %(southwesto.shape[0], southwest.shape[0]))
suspect = tensorflow_net_heat_batch(csv=False, coords=southwest, gps=True)
return suspect
def blackpool_crop(long_range=[-3.06, -2.98],
lat_range=[53.77, 53.88],
zoom=ZOOM_LEVEL,
img_size=IMAGE_SIZE):
blackpool = snap_square(long_range=long_range,
lat_range=lat_range,
zoom=zoom,
img_size=img_size)
print('Num of pictures to download: %d' % (blackpool.shape[0]))
suspect = tensorflow_net_heat_batch(csv=False, coords=blackpool, gps=True)
return suspect
def southwest_crop(lat=51.3, lng=-3):
olga = np.genfromtxt('coord_lists/Olgas_list_gps.csv',
delimiter=',',
skip_header=True,
dtype='float32')
southwest = snap_list(olga, zoom=ZOOM_LEVEL, img_size=IMAGE_SIZE)
southwesto = olga[np.logical_and(olga[:, 1] < lat, olga[:, 0] < lng), :]
southwest = snap_list(southwesto, zoom=ZOOM_LEVEL, img_size=IMAGE_SIZE)
print('Original num of sites: %d. Num of pictures to download: %d' %
(southwesto.shape[0], southwest.shape[0]))
suspect = tensorflow_net_heat_batch(csv=False, coords=southwest, gps=True)
return suspect
def blackpool_crop(long_range = [-3.06,-2.98], lat_range= [53.77, 53.88], zoom = ZOOM_LEVEL, img_size = IMAGE_SIZE):
blackpool = snap_square(long_range=long_range, lat_range=lat_range, zoom=zoom, img_size=img_size)
print('Num of pictures to download: %d' %(blackpool.shape[0]))
suspect = tensorflow_net_heat_batch(csv=False, coords=blackpool, gps=True)
return suspect
