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Auto-adjusting font size on original story view in iphone app.

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This commit is contained in:
Samuel Clay 2011-07-17 22:39:26 -07:00
parent 945b604368
commit ecc2f7c211
3 changed files with 18682 additions and 18636 deletions
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2
media/iphone/Classes/OriginalStoryViewController.m
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@ -62,6 +62,7 @@
address.autoresizingMask = UIViewAutoresizingFlexibleWidth;
address.borderStyle = UITextBorderStyleRoundedRect;
address.font = [UIFont systemFontOfSize:15];
[address setAdjustsFontSizeToFitWidth:YES];
address.keyboardType = UIKeyboardTypeURL;
address.autocapitalizationType = UITextAutocapitalizationTypeNone;
address.clearButtonMode = UITextFieldViewModeWhileEditing;
@ -80,7 +81,6 @@
addressFrame.size.height);
UIButton *close = [UIButton buttonWithType:UIButtonTypeRoundedRect];
[close setFrame:closeButtonFrame];
[close setFont:[UIFont systemFontOfSize:12]];
[close setTitle:@"Close" forState:UIControlStateNormal];
[close addTarget:self action:@selector(doCloseOriginalStoryViewController) forControlEvents:UIControlEventTouchUpInside];
[navBar addSubview:close];

37271
media/iphone/NewsBlur.xcodeproj/project.xcworkspace/xcuserdata/conesus.xcuserdatad/UserInterfaceState.xcuserstate generated
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45
utils/Image Color Algorithm.py Normal file
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@ -0,0 +1,45 @@
from PIL import Image
import scipy
import scipy.cluster
from pprint import pprint
image = Image.open('logo.png')
NUM_CLUSTERS = 5
# Convert image into array of values for each point.
ar = scipy.misc.fromimage(image)
shape = ar.shape
# Reshape array of values to merge color bands.
if len(shape) > 2:
ar = ar.reshape(scipy.product(shape[:2]), shape[2])
# Get NUM_CLUSTERS worth of centroids.
codes, _ = scipy.cluster.vq.kmeans(ar, NUM_CLUSTERS)
# Pare centroids, removing blacks and whites and shades of really dark and really light.
original_codes = codes
for low, hi in [(60, 200), (35, 230), (10, 250)]:
codes = scipy.array([code for code in codes
if not ((code[0] < low and code[1] < low and code[2] < low) or
(code[0] > hi and code[1] > hi and code[2] > hi))])
if not len(codes): codes = original_codes
else: break
# Assign codes (vector quantization). Each vector is compared to the centroids
# and assigned the nearest one.
vecs, _ = scipy.cluster.vq.vq(ar, codes)
# Count occurences of each clustered vector.
counts, bins = scipy.histogram(vecs, len(codes))
# Show colors for each code in its hex value.
colors = [''.join(chr(c) for c in code).encode('hex') for code in codes]
total = scipy.sum(counts)
color_dist = dict(zip(colors, [count/float(total) for count in counts]))
pprint(color_dist)
# Find the most frequent color, based on the counts.
index_max = scipy.argmax(counts)
peak = codes[index_max]
color = ''.join(chr(c) for c in peak).encode('hex')