Apr-13-2024, 02:48 PM
(This post was last modified: Apr-13-2024, 02:48 PM by pointdexter16.)
from PIL import Image
import copy
import numpy as np
import pickle
#-------Sample--------------------------------------(THIS WORKS)
# value = "01101000011001010110110001101100011011111"
# print(len(value))
# cmap = {'0': (0,155,3,0),
# '1': (0,0,0)}
# data = [cmap[letter] for letter in value]
# img = Image.new('RGB', (8, (len(value)//8)+1), "white")
# print(data)
# img.putdata(data)
# img.show()
#-------Sample---------------------------------------
class para_viz:
def __init__(self,layers):
self.layers=copy.deepcopy(layers)
self.map()
def map(self):
for i in range(len(self.layers)):
self.layers[i]=self.layers[i]/np.max(np.absolute(self.layers[i]),axis=0)
self.layers[i]=self.layers[i]*255
def color_map(self,data):
Data=[]
for i in data:
i=int(i)
color=(i,0,0) if i>=0 else (0,i,0)
Data.append(color)
return Data
def viz_neuron(self):
neuron=self.layers[0][:,0]
# print(neuron)
flat_len=len(neuron)
size=(flat_len//2,flat_len//2) if flat_len%2==0 else (flat_len//2,(flat_len//2)+1)
img=Image.new('RGB',size,"white")
data=self.color_map(neuron)
print(len(data))
img.putdata(data)
img.show()
with open("weights.pkl","rb") as f:
weights=pickle.load(f)
viz=para_viz(weights)
viz.viz_neuron()weights.pkl---->https://drive.google.com/file/d/1ayDFQCigFQqe5vWdaR0QyMWh8OxYRmNc/view?usp=sharing
