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utils.py
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import dash_core_components as dcc
import dash_html_components as html
import json
import plotly.graph_objs as go
import dash_reusable_components as drc
from PIL import Image, ImageFilter, ImageDraw, ImageEnhance
# [filename, image_signature, action_stack]
STORAGE_PLACEHOLDER = json.dumps({
'filename': None,
'image_signature': None,
'action_stack': []
})
IMAGE_STRING_PLACEHOLDER = drc.pil_to_b64(Image.open('images/default.jpg').copy(), enc_format='jpeg')
GRAPH_PLACEHOLDER = dcc.Graph(
id='interactive-image',
figure={
'data': [],
'layout': {
'paper_bgcolor': '#272a31',
'plot_bgcolor': '#272a31'
}
}
)
# Maps process name to the Image filter corresponding to that process
FILTERS_DICT = {
'blur': ImageFilter.BLUR,
'contour': ImageFilter.CONTOUR,
'detail': ImageFilter.DETAIL,
'edge_enhance': ImageFilter.EDGE_ENHANCE,
'edge_enhance_more': ImageFilter.EDGE_ENHANCE_MORE,
'emboss': ImageFilter.EMBOSS,
'find_edges': ImageFilter.FIND_EDGES,
'sharpen': ImageFilter.SHARPEN,
'smooth': ImageFilter.SMOOTH,
'smooth_more': ImageFilter.SMOOTH_MORE
}
ENHANCEMENT_DICT = {
'color': ImageEnhance.Color,
'contrast': ImageEnhance.Contrast,
'brightness': ImageEnhance.Brightness,
'sharpness': ImageEnhance.Sharpness
}
def generate_lasso_mask(image, selectedData):
"""
Generates a polygon mask using the given lasso coordinates
:param selectedData: The raw coordinates selected from the data
:return: The polygon mask generated from the given coordinate
"""
height = image.size[1]
y_coords = selectedData['lassoPoints']['y']
y_coords_corrected = [height - coord for coord in y_coords]
coordinates_tuple = list(zip(selectedData['lassoPoints']['x'], y_coords_corrected))
mask = Image.new('L', image.size)
draw = ImageDraw.Draw(mask)
draw.polygon(coordinates_tuple, fill=255)
return mask
def apply_filters(image, zone, filter, mode):
filter_selected = FILTERS_DICT[filter]
if mode == 'select':
crop = image.crop(zone)
crop_mod = crop.filter(filter_selected)
image.paste(crop_mod, zone)
elif mode == 'lasso':
im_filtered = image.filter(filter_selected)
image.paste(im_filtered, mask=zone)
def apply_enhancements(image, zone, enhancement, enhancement_factor, mode):
enhancement_selected = ENHANCEMENT_DICT[enhancement]
enhancer = enhancement_selected(image)
im_enhanced = enhancer.enhance(enhancement_factor)
if mode == 'select':
crop = im_enhanced.crop(zone)
image.paste(crop, box=zone)
elif mode == 'lasso':
image.paste(im_enhanced, mask=zone)
def show_histogram(image):
def hg_trace(name, color, hg):
line = go.Scatter(
x=list(range(0, 256)),
y=hg,
name=name,
line=dict(color=(color)),
mode='lines',
showlegend=False
)
fill = go.Scatter(
x=list(range(0, 256)),
y=hg,
mode='fill',
name=name,
line=dict(color=(color)),
fill='tozeroy',
hoverinfo='none'
)
return line, fill
hg = image.histogram()
if image.mode == 'RGBA':
rhg = hg[0:256]
ghg = hg[256:512]
bhg = hg[512:768]
ahg = hg[768:]
data = [
*hg_trace('Red', '#FF4136', rhg),
*hg_trace('Green', '#2ECC40', ghg),
*hg_trace('Blue', '#0074D9', bhg),
*hg_trace('Alpha', 'gray', ahg)
]
title = 'RGBA Histogram'
elif image.mode == 'RGB':
# Returns a 768 member array with counts of R, G, B values
rhg = hg[0:256]
ghg = hg[256:512]
bhg = hg[512:768]
data = [
*hg_trace('Red', '#FF4136', rhg),
*hg_trace('Green', '#2ECC40', ghg),
*hg_trace('Blue', '#0074D9', bhg),
]
title = 'RGB Histogram'
else:
data = [*hg_trace('Gray', 'gray', hg)]
title = 'Grayscale Histogram'
layout = go.Layout(
title=title,
margin=go.Margin(l=35, r=35),
legend=dict(x=0, y=1.15, orientation="h")
)
return go.Figure(data=data, layout=layout)