Issue
I am trying to create a Python tkinter application where the user can upload an image from file and the image is put through a image segmentation function which outputs an matplotlib plot.
I have the image segmentation function, it takes two parameters: neural network, image file pathway.
from torchvision import models
from PIL import Image
import matplotlib.pyplot as plt
import torch
import torchvision.transforms as T
import numpy as np
fcn = models.segmentation.fcn_resnet101(pretrained=True).eval()
# Define the helper function
def decode_segmap(image, nc=21):
label_colors = np.array([(0, 0, 0), # 0=background
# 1=aeroplane, 2=bicycle, 3=bird, 4=boat, 5=bottle
(128, 0, 0), (0, 128, 0), (128, 128, 0), (0, 0, 128), (128, 0, 128),
# 6=bus, 7=car, 8=cat, 9=chair, 10=cow
(0, 128, 128), (128, 128, 128), (64, 0, 0), (192, 0, 0), (64, 128, 0),
# 11=dining table, 12=dog, 13=horse, 14=motorbike, 15=person
(192, 128, 0), (64, 0, 128), (192, 0, 128), (64, 128, 128), (192, 128, 128),
# 16=potted plant, 17=sheep, 18=sofa, 19=train, 20=tv/monitor
(0, 64, 0), (128, 64, 0), (0, 192, 0), (128, 192, 0), (0, 64, 128)])
r = np.zeros_like(image).astype(np.uint8)
g = np.zeros_like(image).astype(np.uint8)
b = np.zeros_like(image).astype(np.uint8)
for l in range(0, nc):
idx = image == l
r[idx] = label_colors[l, 0]
g[idx] = label_colors[l, 1]
b[idx] = label_colors[l, 2]
rgb = np.stack([r, g, b], axis=2)
return rgb
def segment(net, path):
img = Image.open(path)
plt.imshow(img); plt.axis('off'); plt.show()
# Comment the Resize and CenterCrop for better inference results
trf = T.Compose([T.Resize(256),
T.CenterCrop(224),
T.ToTensor(),
T.Normalize(mean = [0.485, 0.456, 0.406],
std = [0.229, 0.224, 0.225])])
inp = trf(img).unsqueeze(0)
out = net(inp)['out']
om = torch.argmax(out.squeeze(), dim=0).detach().cpu().numpy()
rgb = decode_segmap(om)
plt.imshow(rgb); plt.axis('off'); plt.show()
I have not made the Tkinter GUI as I am unsure how I can take the image uploaded from file and convert it into a file path (string) and put it through the function. There is only one neural network for now, being fcn
.
Solution
Firstly import filedialog
and PIL
:
from tkinter import filedialog
from PIL import Image
Now use a variable path (or anything) to define the path that is returned when you choose inside of a GUI.
path = filedialog.askopenfilename(initialdir='/Downloads', title='Select Photo', filetypes=(('JPEG files', '*.jpg'), ('PNG files', '*.png')))
You can use any filetype you want by specifying it in the argument there with the title and '*.extension'. NOTE THAT IT IS CASE-SENSITIVE. Now your variable path
has the path for the image and all you have to do is open it with PIL using
img = Image.open(path)
Just like you did in your code
Answered By - Delrius Euphoria
0 comments:
Post a Comment
Note: Only a member of this blog may post a comment.