def batchResults(data_names, data_ids, batch_func, batch_name):
for data_name in data_names:
print("%s: %s" % (batch_name, data_name))
for data_id in data_ids:
print("Data ID: %s" % data_id)
image_file = dataFile(data_name, data_id)
batch_func(image_file)
def createMultiImagePixels(data_name, data_ids):
rgb_pixels = []
num_cols = 3
num_rows = (len(data_ids) + 2) / num_cols
fig = plt.figure(figsize=(10, 7))
fig.subplots_adjust(left=0.05, bottom=0.05, right=0.95, top=0.95, wspace=0.1, hspace=0.1)
font_size = 15
plot_id = 1
for data_id in data_ids:
image_file = dataFile(data_name, data_id)
image = loadRGB(image_file)
rgb_pixels.extend(ColorPixels(image).rgb())
fig.add_subplot(num_rows, num_cols, plot_id)
plt.imshow(image)
plt.axis("off")
plot_id += 1
rgb_pixels = np.array(rgb_pixels)
multi_image = np.array(rgb_pixels).reshape(1, -1, 3)
multi_tile = figure2numpy(fig)
return multi_image, multi_tile
def batchResults(data_names, data_ids, batch_func, batch_name):
for data_name in data_names:
print "%s: %s" % (batch_name, data_name)
for data_id in data_ids:
print "Data ID: %s" % data_id
image_file = dataFile(data_name, data_id)
batch_func(image_file)
def createMultiImagePixels(data_name, data_ids):
rgb_pixels = []
num_cols = 3
num_rows = (len(data_ids) + 2) / num_cols
fig = plt.figure(figsize=(10, 7))
fig.subplots_adjust(left=0.05,
bottom=0.05,
right=0.95,
top=0.95,
wspace=0.1,
hspace=0.1)
font_size = 15
plot_id = 1
for data_id in data_ids:
image_file = dataFile(data_name, data_id)
image = loadRGB(image_file)
rgb_pixels.extend(ColorPixels(image).rgb())
fig.add_subplot(num_rows, num_cols, plot_id)
plt.imshow(image)
plt.axis('off')
plot_id += 1
rgb_pixels = np.array(rgb_pixels)
multi_image = np.array(rgb_pixels).reshape(1, -1, 3)
multi_tile = figure2numpy(fig)
return multi_image, multi_tile
# -*- coding: utf-8 -*-
# # @package color_histogram.examples.hist_1d
#
# Minimal example of 1D color histograms.
# @author tody
# @date 2015/08/29
from color_histogram.io_util.image import loadRGB
from color_histogram.core.hist_1d import Hist1D
import matplotlib.pyplot as plt
from color_histogram.datasets.datasets import dataFile
image_file = dataFile("flower", 0)
# Load image.
image = loadRGB(image_file)
# 16 bins, Lab color space, target channel L ('Lab'[0])
hist1D = Hist1D(image, num_bins=16, color_space='Lab', channel=0)
fig = plt.figure()
ax = fig.add_subplot(111)
hist1D.plot(ax)
plt.show()
from color_histogram.io_util.image import loadRGB
from color_histogram.core.hist_1d import Hist1D
import matplotlib.pyplot as plt
from color_histogram.datasets.datasets import dataFile
image_file = dataFile("messi", 0)
image = loadRGB(C:/Users/penak/Music/messi.jpg')
hist1D = Hist1D(image, num_bins=16, color_space='Lab', channel=0)
fig = plt.figure()
ax = fig.add_subplot(111)
hist1D.plot(ax)
plt.show()
