Infopost | 2021.01.02
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Type Cost Proceeds P/L P/L % Notes ------------------------------------------------------------------------------- Stocks: 67,731.58 -> 70,417.55 = 2,685.97 3.9% Options: 54,759.95 -> 56,314.35 = 1,554.40 2.8% ETFs: 105,840.48 -> 100,117.95 = -5,722.53 -5.4% FU Barclays Bonds: 83,766.56 -> 93,714.51 = 9,947.95 11.8% Doesn't include divs Mutuals: [All long term]
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_________________________________________________________________ Layer (type) Output Shape Param # ================================================================= conv2d (Conv2D) (None, 192, 192, 16) 800 _________________________________________________________________ gaussian_noise (GaussianNois (None, 192, 192, 16) 0 _________________________________________________________________ dense (Dense) (None, 192, 192, 96) 1632 _________________________________________________________________ dropout (Dropout) (None, 192, 192, 96) 0 _________________________________________________________________ conv2d_1 (Conv2D) (None, 192, 192, 16) 38416 _________________________________________________________________ dense_1 (Dense) (None, 192, 192, 96) 1632 _________________________________________________________________ dropout_1 (Dropout) (None, 192, 192, 96) 0 _________________________________________________________________ conv2d_2 (Conv2D) (None, 192, 192, 16) 13840 _________________________________________________________________ batch_normalization (BatchNo (None, 192, 192, 16) 64 _________________________________________________________________ conv2d_3 (Conv2D) (None, 192, 192, 16) 2320 _________________________________________________________________ conv2d_4 (Conv2D) (None, 192, 192, 1) 145 _________________________________________________________________ conv2d_5 (Conv2D) (None, 192, 192, 1) 2 ================================================================= Total params: 58,851 Trainable params: 58,819 Non-trainable params: 32 _________________________________________________________________
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def file_to_np_array(size, infile, outfile=None, color='HSV', mode='none'): input_image = Image.open(infile) if outfile is not None: output_image = Image.open(outfile) return image_to_np_array(size, input_image, outimage=output_image, color=color, mode=mode) else: return image_to_np_array(size, input_image, color=color, mode=mode) def image_to_np_array(size, inimage, outimage=None, color='HSV', mode='none'): if mode == 'none': if inimage.width != size or inimage.height != size: print('None mode using image size: ',inimage.width,'x',inimage.height,' for size length ',size) raise i = inimage.convert(color) if outimage is not None: if outimage.width != size or outimage.height != size: print('None mode using image size [truncated]') raise o = outimage.convert(color) else: o = None elif mode == 'scale': print('Scale not yet implemented') raise elif mode == 'sample': if outimage is not None: if inimage.width != outimage.width or inimage.height != outimage.height: print('Input/output image different size [truncated]') raise box = get_random_crop_dimensions(inimage, size, size) i = inimage.crop(box) i = i.convert(color) if outimage is not None: o = outimage.crop(box) o = o.convert(color) else: o = None else: print('Undefined mode: ',mode) raise if (o is not None): return (np.array(i) / 255.0, np.array(o) / 255.0) else: return (np.array(i) / 255.0, None) def np_array_to_image(array, incolor='HSV', outcolor='RGB'): array = array * 255.0 array = array.astype(np.uint8) if incolor == 'L': return Image.fromarray(array[:,:], incolor).convert(outcolor) else: return Image.fromarray(array, incolor).convert(outcolor)
Week |
d'san andreas da bears
- Medieval Gridiron - |
Covid-20
- Password is Taco - |
Dominicas
- Siren - |
---|---|---|---|
1 |
Danville Isotopes
110.8 - 72.5 W (1-0) |
Black Cat Cowboys
155.66 - 78.36 W (1-0) |
TeamNeverSkipLegDay
136.24 - 107.50 W (1-0) |
2 |
Screaming Goat Battering Rams
119.9 - 105.9 W (2-0) |
[Random UTF characters resembling an EQ]
115.50 - 115.74 L (1-1) |
Dem' Arby's Boyz
94.28 - 102.02 L (1-1) |
3 |
Nogales Chicle
106.5 - 117.8 L (2-1) |
Circle the Wagons
100.42 - 90.02 W (2-1) |
JoeExotic'sPrisonOil
127.90 - 69.70 W (2-1) |
4 |
Britons Longbowmen
122.9 - 105.1 W (3-1) |
Staying at Mahomes
123.28 - 72.90 W (3-1) |
Daaaaaaaang
138.10 - 108.00 W (3-1) |
5 |
Toronto Tanto
105.0 - 108.2 L (3-2) |
Robocop's Posse
111.32 - 134.26 L (3-2) |
Alpha Males
86.20 - 76.12 W (4-1) |
6 |
Only Those Who Stand
108.2 - 66.7 W (4-2) |
KickAssGreenNinja
65.10 - 84.02 L (3-3) |
SlideCode #Jab
71.60 - 53.32 W (5-1) |
7 |
San Francisco Seduction
121.7 - 126.4 L (4-3) |
Ma ma ma my Corona
118.22 - 84.20 W (4-3) |
G's Unit
109.20 - 92.46 W (6-1) |
8 |
LA Boiling Hot Tar
116.2 - 59.4 W (5-3) |
Kamaravirus
118.34 - 109.94 W (5-3) |
WeaponX
113.14 - 85.40 W (7-1) |
9 |
SD The Rapier
135.0 - 90.8 W (6-3) |
C. UNONEUVE
117.80 - 90.16 W (6-3) |
Chu Fast Chu Furious
128.28 - 59.06 W (8-1) |
10 |
West Grove Wankers
72.9 - 122.8 L (6-4) |
Pug Runners
98.90 - 77.46 W (7-3) |
NY Giants LARP
75.24 - 75.06 W (9-1) |
11 |
SF Lokovirus
127.9 - 87.1 W (7-4) |
Bravo Zulus
116.34 - 45.50 W (8-3) |
HitMeBradyOneMoTime
107.42 - 89.22 W (10-1) |
12 |
Danville Isotopes
154.7 - 98.9 W (8-4) |
Forget the Titans
92.84 - 125.14 L (8-4) |
TeamNeverSkipLegDay
132.78 - 140.84 L (10-2) |
13 |
Screaming Goat Battering Rams
136.9 - 84.5 W (9-4) |
[Random UTF characters resembling an EQ]
135.20 - 72.52 W (9-4) |
Dem Arby's Boyz
97.62 - 63.52 W (11-2) |
P-1 |
Bye
99.2 |
Bye
129.30 |
Bye
94.12 |
P-2 |
Screaming Goat Battering Rams
112.0 - 125.4 L |
Ma ma ma my Corona
127.42 - 104.46 W |
G's Unit
118.56 - 142.52 L |
P-3 |
Britons Longbowmen
86.4 - 125.8 L (4th) |
Forget the Titans
114.84 - 115.72 L (2nd) |
TeamNeverSkipLegDay
78.62 - 94.44 L (4th) |
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2020.12.06
Edges and cornersThe first week of December almost always brings one of the biggest swells of the year. This one wasn't epic, but good enough to take a vacation Friday for some 0730 shooting and 0930 surfing. The lead image is a pretty good depiction of the difference... |
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2020.12.25
Staying warm by the fireWhether it's the fireplace, the geforce, or sunny surf sessions, xmas vacation has been about staying warm. |
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2020.11.29
ModsSince it was just the two-ish of us, Jes and I went to the Lodge for Thanksgiving lunch. |