text stringlengths 1 93.6k |
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if cat == 0: # draw circle
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center_x = pos_x + scale // 2.0
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center_y = pos_y + scale // 2.0
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for x in range(height):
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for y in range(width):
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dist_center_sq = (x - center_x)**2 + (y - center_y)**2
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if dist_center_sq < (scale // 2.0)**2:
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sprite[x][y][cat] = 1.0
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elif cat == 1: # draw square
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sprite[pos_x:pos_x + scale, pos_y:pos_y + scale, cat] = 1.0
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else: # draw square turned by 45 degrees
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center_x = pos_x + scale // 2.0
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center_y = pos_y + scale // 2.0
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for x in range(height):
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for y in range(width):
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if abs(x - center_x) + abs(y - center_y) < (scale // 2.0):
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sprite[x][y][cat] = 1.0
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images[i] += sprite
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if i % 100 == 0:
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progress_bar(i, n)
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images = np.clip(images, 0.0, 1.0)
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return {'x_train': images[:4 * n // 5],
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'count_train': counts[:4 * n // 5],
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'x_test': images[4 * n // 5:],
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'count_test': counts[4 * n // 5:]}
|
class Sprites(Dataset):
|
def __init__(self, directory, n=50000, canvas_size=64,
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train=True, transform=None):
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np_file = 'sprites_{}_{}.npz'.format(n, canvas_size)
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full_path = os.path.join(directory, np_file)
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if not os.path.isfile(full_path):
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gen_data = make_sprites(n, canvas_size, canvas_size)
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np.savez(np_file, **gen_data)
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data = np.load(full_path)
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self.transform = transform
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self.images = data['x_train'] if train else data['x_test']
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self.counts = data['count_train'] if train else data['count_test']
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def __len__(self):
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return self.images.shape[0]
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def __getitem__(self, idx):
|
img = self.images[idx]
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if self.transform is not None:
|
img = self.transform(img)
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return img, self.counts[idx]
|
class Clevr(Dataset):
|
def __init__(self, directory, transform=None):
|
self.directory = directory
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self.filenames = os.listdir(directory)
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self.n = len(self.filenames)
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self.transform = transform
|
def __len__(self):
|
return self.n
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def __getitem__(self, idx):
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imgpath = os.path.join(self.directory, self.filenames[idx])
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img = Image.open(imgpath)
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if self.transform is not None:
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img = self.transform(img)
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return img, 1
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# <FILESEP>
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from flask import Flask
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from flask import request, jsonify, abort, make_response
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from flask_cors import CORS
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import nltk
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nltk.download('punkt')
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from nltk import tokenize
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from typing import List
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import argparse
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from summarizer import Summarizer
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app = Flask(__name__)
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CORS(app)
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class Parser(object):
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def __init__(self, raw_text: bytes):
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self.all_data = str(raw_text, 'utf-8').split('\n')
|
def __isint(self, v) -> bool:
|
try:
|
int(v)
|
return True
|
except:
|
return False
|
def __should_skip(self, v) -> bool:
|
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