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img_plots.py
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img_plots.py
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import numpy as np
import cv2,skimage
import matplotlib.pyplot as plt
from img_utils import Resize,calc_image_range
plt.rcParams["figure.figsize"] = (16,10)
font = {'family' : 'DejaVu Sans',
'size' : 18}
plt.rc('font', **font)
"""
plot_img_matplotlib(image, title = '',show_colorbar = False)
plot_subplot_1x2(images_list)
plot_subplot_2x2(images_list)
plot_img_opencv(image,resize_flag = True,width=400)
plot_x_y_matplotlib(x = np.empty([]),y = np.empty([]),title = '')
"""
def plot_img_matplotlib(image, title = '',show_colorbar = False):
img = image.copy()
fig = plt.figure()
plt.title(title)
if len(img.shape) == 2:
plt.imshow(img,cmap = 'gray')
else:
plt.imshow(img[:,:,::-1])
plt.xticks([])
plt.yticks([])
if show_colorbar:
plt.colorbar()
plt.show()
def plot_subplot_1x2(images_list,titles_list = ["",""],cmap_list =['gray','gray']):
img1,img2 = images_list[:]
title1,title2 = titles_list[:]
cmap1,cmap2 = cmap_list[:]
fig, axes = plt.subplots(nrows=1, ncols=2)
ax = axes.ravel()
ax[0].imshow(img1,cmap = cmap1)
ax[0].set_title(title1)
ax[0].axis('off')
ax[1].imshow(img2,cmap = cmap2)
ax[1].set_title(title2)
ax[1].axis('off')
plt.tight_layout()
plt.show()
def plot_subplot_1x3(images_list,titles_list = ["","",""],cmap_list =['gray','gray','gray']):
img1,img2,img3 = images_list[:]
title1,title2,title3 = titles_list[:]
cmap1,cmap2,cmap3 = cmap_list[:]
fig, axes = plt.subplots(nrows=1, ncols=3)
ax = axes.ravel()
ax[0].imshow(img1,cmap = cmap1)
ax[0].set_title(title1)
ax[0].axis('off')
ax[1].imshow(img2,cmap = cmap2)
ax[1].set_title(title2)
ax[1].axis('off')
ax[2].imshow(img3,cmap = cmap3)
ax[2].set_title(title3)
ax[2].axis('off')
plt.tight_layout()
plt.show()
def plot_subplot_2x2(images_list,titles_list = ["","","",""],cmap_list =['gray','gray','gray','gray']):
img1,img2,img3,img4 = images_list[:]
title1,title2,title3,title4 = titles_list[:]
cmap1,cmap2,cmap3,cmap4 = cmap_list[:]
fig, axes = plt.subplots(nrows=2, ncols=2)
ax = axes.ravel()
ax[0].imshow(img1,cmap = cmap1)
ax[0].set_title(title1)
ax[0].axis('off')
ax[1].imshow(img2,cmap = cmap2)
ax[1].set_title(title2)
ax[1].axis('off')
ax[2].imshow(img3,cmap = cmap3)
ax[2].set_title(title3)
ax[2].axis('off')
ax[3].imshow(img4,cmap = cmap4)
ax[3].set_title(title4)
ax[3].axis('off')
plt.tight_layout()
plt.show()
def plot_img_opencv(image,resize_flag = True,width=400):
"""
This func force conversion to uint8 dtype
and by default resize the input img
"""
img = image.copy()
if not img.dtype == np.uint8:
img *= 255
img = img.astype(np.uint8)
if resize_flag:
img = Resize(img,width)
cv2.imshow('_', img)
k = cv2.waitKey(0)
if k != ord('s'):
cv2.destroyAllWindows()
elif k == ord('s'):
cv2.destroyAllWindows()
img_name = input('Enter image name for saving :\n')
cv2.imwrite(img_name +'.jpg', img)
return img
def plot_x_y_matplotlib(x = np.empty([]),y = np.empty([]),title = ''):
fig = plt.figure()
plt.suptitle(f'{title}')
x = np.empty([])
y = np.empty([])
plt.subplot(1, 2, 1)
plt.plot(x, y)
plt.subplot(1, 2, 2)
plt.plot(x, y)
plt.show()
def show_histogram(img,bins_num,display = True):
hist_vals , x_bins = np.histogram(img,bins_num)
hist_vals = np.concatenate([np.array([0]),hist_vals])
if display :
calc_image_range(img)
print('\nThe non-zero values on the histogram are :\n')
print(x_bins[hist_vals!=0])
fig = plt.figure()
plt.scatter(x_bins[hist_vals!=0],hist_vals[hist_vals!=0],color = 'red')
plt.scatter(x_bins[hist_vals==0],hist_vals[hist_vals==0],color = 'blue')
plt.show()
"""
lines[0]
((318, 708), (719, 680))
lines[1]
((212, 1032), (719, 979))
"""