from PIL import Image
import matplotlib.pyplot as plt
import nda
nda.set_api_key('whatistheconnectome')
data = nda.request("stimulus/2/")
frame = data[:, :, 1000] # frame 1000
img = Image.fromarray(frame, 'L')
img.show()
from PIL import Image
import nda
import numpy as np
nda.set_api_key('whatistheconnectome')
scans_to_slice = nda.request(
"slices_for_cell/pinky40/v7/watershed_mst_smc_sem5_remap_2/27328840/")
for scan, slices in scans_to_slice.items():
for slice in slices:
print(scan, slice)
data = nda.request("mask/pinky40/v7/watershed_mst_smc_sem5_remap_2/" +
str(scan) + "/" + str(slice) + "/27328840/")
mask = np.zeros(256 * 256, dtype=np.int8)
for idx in data.flatten():
mask[int(idx) - 1] = 255 # 1 indexed
mask = mask.reshape((256, 256))
img = Image.fromarray(mask, 'L')
img.show()
import matplotlib.pyplot as plt
import nda
nda.set_api_key('whatistheconnectome')
data = nda.request("pupil_x/5/")
plt.plot(data.flatten())
plt.show()