def upload():
username = session.get('username')
if username:
user_id = model_session.query(model.User).filter_by(username=username).first().id
else:
user_id = 0
f_keys = request.form.keys()
pattern = re.compile(r'^data:image/(png|jpeg|jpg);base64,(.*)$')
raw_data = []
for key in f_keys:
if key != 'cloud_name' and key != 'choice':
match = pattern.match(request.form[key])
if match is None:
raise ValueError('Invalid image data.')
content_type = 'image/{}'.format(match.group(1))
file_data = base64.b64decode(match.group(2))
raw_data.append(file_data)
user_path = 'static/uploads/%d' % user_id
if not os.path.exists(user_path):
# user doesn't have his/her own directory yet, so create one
os.mkdir(user_path)
cloud_name = request.form['cloud_name']
algorithm = request.form['choice']
# save cloud to database
new_cloud = model.Cloud(user_id=user_id, name=cloud_name)
model_session.add(new_cloud)
model_session.commit()
model_session.refresh(new_cloud)
cloud_id = model_session.query(model.Cloud.id).order_by(desc(model.Cloud.id)).first()[0]
# create a new directory inside the user's directory for uploaded photos
path = user_path + '/' + str(cloud_id)
if not os.path.exists(path):
os.mkdir(path)
for idx, d in enumerate(raw_data):
filename = '{}.{}'.format(len(raw_data)-idx, match.group(1))
with open(path + '/' + filename, 'w') as f:
f.write(d)
path = 'static/uploads/%d/%s' % (user_id, cloud_id)
images = sorted(path + '/' + img for img in os.listdir(path) if img.rpartition('.')[2].lower() in ('jpg', 'jpeg', 'png'))
points_path = os.path.abspath(os.path.join(path, "points"))
reconstruct.start(algorithm, images, file_path=points_path)
if algorithm == 'features':
points = str(reconstruct.extract_points(points_path + "_inliers.txt"))
elif algorithm == 'flow':
points = str(reconstruct.extract_points(points_path + ".txt"))
# set the path to the text file storing the 3D points of the cloud
cloud = model_session.query(model.Cloud).filter_by(id=cloud_id).first()
cloud.path = path
model_session.commit()
# save photos to database
photos = [ img for img in os.listdir(path) if img.rpartition('.')[2].lower() in ('jpg', 'jpeg', 'png') ]
for photo in photos:
new_photo = model.Photo(filename=photo, path=path, cloud_id=cloud_id)
model_session.add(new_photo)
model_session.commit()
model_session.refresh(new_photo)
cloud_data = {'cloud_id': cloud_id, 'points': points}
return jsonify(cloud_data)
def get_cloud(id):
'''Gets the 3D points for a past point cloud.'''
path = model_session.query(model.Cloud).filter_by(id=id).first().path
points = str(reconstruct.extract_points(path + '/points.txt'))
return points
