def create_app(test_config=None):
# create and configure the app
app = Flask(__name__, instance_relative_config=True)
app.config.from_mapping(SECRET_KEY='dev', DATABASE=os.path.join(app.instance_path, 'flaskr.sqlite'),)
if test_config is None:
app.config.from_pyfile('config.py', silent=True)
else:
app.config.from_mapping(test_config)
try:
os.makedires(app.instance_path)
except OSError:
pass
@app.route('/hello')
def hello():
return 'Hello World!'
from . import db
db.init_app(app)
return app
ttf_list += glob.glob("~/.fonts/*.ttf") # Ubuntu
print("font count=", len(ttf_list))
# 中央に文字を描画
def draw_text(im, font, text):
dr = ImageDraw.Draw(im)
im_sz = np.array(im.size)
fo_sz = np.array(font.getsize(text))
xy = (im_sz - fo_sz) / 2
# print(im_sz, fo_sz)
dr.text(xy, text, font=font, fill=(255))
# サンプル画像を出力するフォルダ
if not os.path.exists("./image/num"): os.makedires("./image/num")
# 回転させたり拡大したりしてデータを水増しする
def gen_image(base_im, no, font_name):
for ang in range(-20, 20, 2):
sub_im = base_im.rotate(ang)
data = np.asarray(sub_im)
X.append(data)
Y.append(no)
w = image_size
# 少しずつ拡大する
for r in range(8, 15, 3):
size = round((r / 10) * image_size)
im2 = cv2.resize(data, (size, size), cv2.INTER_AREA)
data2 = np.asarray(im2)
# 중앙에 문자 그리기
def draw_text(im, font, text):
dr = ImageDraw.Draw(im)
im_sz = np.array(im.size)
fo_sz = np.array(font.getsize(text))
xy = (im_sz - fo_sz) / 2
print(im_sz, fo_sz)
dr.text(xy, text, font=font, fill=(255))
# 샘플 이미지를 출력할 폴더
if not os.path.exists('./image/num'):
os.makedires('./image/num')
# 회전하거나 확대해서 데이터 늘리기
def gen_image(base_im, no, font_name):
for ang in range(-20, 20, 2):
sub_im = base_im.rotate(ang)
data = np.asarray(sub_im)
X.append(data)
Y.append(no)
w = image_size
# 조금씩 확대하기
for r in range(8, 15, 3):
size = round((r / 10) * image_size)
im2 = cv2.resize(data, (size, size), cv2.INTER_AREA)
trajectory = trajectory_sampler._compute_trajectory(*img.shape)
latents.append(np.array(trajectory))
labels.append(label)
objects.append(img)
for t in range(args.seq_len):
sx, sy, _, _ = trajectory[t]
x[t, sx:sx + img.shape[0], sy:sy + img.shape[1]] += img
x[x > 255] = 255
test_videos.append(x.astype(np.uint8))
test_latents.append(np.array(latents))
test_labels.append(np.array(labels).astype(np.uint8))
test_objects.append(np.array(objects))
test_videos = np.array(test_videos, dtype=np.uint8).transpose(1, 0, 2, 3)
test_latents = np.array(test_latents).transpose(2, 0, 1, 3)
test_labels = np.array(test_labels, dtype=np.uint8)
test_objects = np.array(test_objects)
# Save results at the given path
fname = f'mmnist_test_{args.digits}digits_{args.frame_size}.npz'
if not args.deterministic:
fname = f's{fname}'
print(f'Saving testset at {join(args.data_dir, fname)}')
# Create the directory if needed
if not os.path.isdir(args.data_dir):
os.makedires(args.data_dir)
np.savez_compressed(join(args.data_dir, fname),
sequences=test_videos,
latents=test_latents,
labels=test_labels,
digits=test_objects)
def create_folder(path):
if not os.path.exists(path):
os.makedires(path)
sensitivity = args.sensitivity_analysis
year = args.year
bin_size = args.bin_size
country = args.country
max_processes = args.max_processes
SAF_directory = args.SAF_directory
results_path = args.results_path
# Define the path to the scratch directory. This is where logging files will be saved
if 'cluster/home' in os.getcwd():
scratch_path = os.environ['SCRATCH']
else:
scratch_path = os.path.join(SAF_directory,'scratch')
# Create a directory if it doesn't already exist
if not os.path.isdir(scratch_path):
os.makedires(scratch_path)
# Create a results directory if it doesn't already exist
if not os.path.isdir(results_path):
os.makedires(results_path)
# Create a directory to save plant operation data
if save_operation:
operations_path = os.path.join(results_path,'operation')
if not os.path.isdir(operations_path):
os.mkdir(operations_path)
eval_points_path = os.path.join(results_path,'eval_points.txt')
# Add a logger
sys.path.insert(1, os.path.join(SAF_directory,'scripts','optimization'))
from plant_optimization.utilities import create_logger