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