def compile(self, source, name=None, filename=None, raw=False):
"""Compile a node or template source code. The `name` parameter is
the load name of the template after it was joined using
:meth:`join_path` if necessary, not the filename on the file system.
the `filename` parameter is the estimated filename of the template on
the file system. If the template came from a database or memory this
can be omitted.
The return value of this method is a python code object. If the `raw`
parameter is `True` the return value will be a string with python
code equivalent to the bytecode returned otherwise. This method is
mainly used internally.
"""
if isinstance(source, basestring):
source = self.parse(source, name, filename)
if self.optimized:
source = optimize(source, self)
source = generate(source, self, name, filename)
if raw:
return source
if filename is None:
filename = '<template>'
elif isinstance(filename, unicode):
filename = filename.encode('utf-8')
return compile(source, filename, 'exec')
def compile(self, source, name=None, filename=None, raw=False):
"""Compile a node or template source code. The `name` parameter is
the load name of the template after it was joined using
:meth:`join_path` if necessary, not the filename on the file system.
the `filename` parameter is the estimated filename of the template on
the file system. If the template came from a database or memory this
can be omitted.
The return value of this method is a python code object. If the `raw`
parameter is `True` the return value will be a string with python
code equivalent to the bytecode returned otherwise. This method is
mainly used internally.
"""
source_hint = None
try:
if isinstance(source, basestring):
source_hint = source
source = self._parse(source, name, filename)
if self.optimized:
source = optimize(source, self)
source = generate(source, self, name, filename)
if raw:
return source
if filename is None:
filename = '<template>'
else:
filename = _encode_filename(filename)
return compile(source, filename, 'exec')
except TemplateSyntaxError:
exc_info = sys.exc_info()
self.handle_exception(exc_info, source_hint=source)
def compile(self, source, name=None, filename=None, raw=False):
"""Compile a node or template source code. The `name` parameter is
the load name of the template after it was joined using
:meth:`join_path` if necessary, not the filename on the file system.
the `filename` parameter is the estimated filename of the template on
the file system. If the template came from a database or memory this
can be omitted.
The return value of this method is a python code object. If the `raw`
parameter is `True` the return value will be a string with python
code equivalent to the bytecode returned otherwise. This method is
mainly used internally.
"""
if isinstance(source, basestring):
source = self.parse(source, name, filename)
if self.optimized:
node = optimize(source, self)
source = generate(node, self, name, filename)
if raw:
return source
if filename is None:
filename = '<template>'
elif isinstance(filename, unicode):
filename = filename.encode('utf-8')
return compile(source, filename, 'exec')
def compile(self, source, name=None, filename=None, raw=False):
"""Compile a node or template source code. The `name` parameter is
the load name of the template after it was joined using
:meth:`join_path` if necessary, not the filename on the file system.
the `filename` parameter is the estimated filename of the template on
the file system. If the template came from a database or memory this
can be omitted.
The return value of this method is a python code object. If the `raw`
parameter is `True` the return value will be a string with python
code equivalent to the bytecode returned otherwise. This method is
mainly used internally.
"""
source_hint = None
try:
if isinstance(source, basestring):
source_hint = source
source = self._parse(source, name, filename)
if self.optimized:
source = optimize(source, self)
source = generate(source, self, name, filename)
if raw:
return source
if filename is None:
filename = '<template>'
else:
filename = _encode_filename(filename)
return compile(source, filename, 'exec')
except TemplateSyntaxError:
exc_info = sys.exc_info()
self.handle_exception(exc_info, source_hint=source)
def compile(self,
source,
name=None,
filename=None,
raw=False,
defer_init=False):
source_hint = None
try:
if isinstance(source, basestring):
source_hint = source
source = self._parse(source, name, filename)
if self.optimized:
source = optimize(source, self)
source = self._generate(source,
name,
filename,
defer_init=defer_init)
if raw:
return source
if filename is None:
filename = '<template>'
else:
filename = _encode_filename(filename)
return self._compile(source, filename)
except TemplateSyntaxError:
exc_info = sys.exc_info()
self.handle_exception(exc_info, source_hint=source)
def _get_template(env, name=None, source=None):
if name:
source, filename, _ = env.loader.get_source(env, name)
else:
name, filename = "<template>", "<template>"
ast = env._parse(source, name, filename)
if env.optimized:
ast = optimize(ast, env)
return name, filename, ast
def run():
num_classes = 2
image_shape = (160, 576)
data_dir = './data'
runs_dir = './runs'
tests.test_for_kitti_dataset(data_dir)
epochs = 10
batch_size = 4
print('Start to run FCN!')
# Download pretrained vgg model
helper.maybe_download_pretrained_vgg(data_dir)
# OPTIONAL: Train and Inference on the cityscapes dataset instead of the Kitti dataset.
# You'll need a GPU with at least 10 teraFLOPS to train on.
# https://www.cityscapes-dataset.com/
with tf.Session() as sess:
# Path to vgg model
vgg_path = os.path.join(data_dir, 'vgg')
# Create function to get batches
get_batches_fn = helper.gen_batch_function(os.path.join(data_dir, 'data_road/training'), image_shape)
# OPTIONAL: Augment Images for better results
# https://datascience.stackexchange.com/questions/5224/how-to-prepare-augment-images-for-neural-network
correct_label = tf.placeholder(tf.int32, [None, None, None, num_classes], name='correct_label')
learning_rate = tf.placeholder(tf.float32, name='learning_rate')
# TODO: Build NN using load_vgg, layers, and optimize function
input_image, keep_prob, layer3_out, layer4_out, layer7_out = load_vgg(sess, vgg_path)
#create laer:
layer_output = layers(layer3_out, layer4_out, layer7_out, num_classes)
#create loss and optimizer:
logits, train_op, cross_entropy_loss = optimize(layer_output, correct_label, learning_rate, num_classes)
#saver = tf.train.Saver()
# TODO: Train NN using the train_nn function
sess.run(tf.global_variables_initializer())
train_nn(sess, epochs, batch_size, get_batches_fn, train_op, cross_entropy_loss,
input_image, correct_label, keep_prob, learning_rate)
# TODO: Save inference data using helper.save_inference_samples
helper.save_inference_samples(runs_dir, data_dir, sess, image_shape, logits, keep_prob, input_image)
def compile(self,
source,
name=None,
filename=None,
raw=False,
defer_init=False):
"""Compile a node or template source code. The `name` parameter is
the load name of the template after it was joined using
:meth:`join_path` if necessary, not the filename on the file system.
the `filename` parameter is the estimated filename of the template on
the file system. If the template came from a database or memory this
can be omitted.
The return value of this method is a python code object. If the `raw`
parameter is `True` the return value will be a string with python
code equivalent to the bytecode returned otherwise. This method is
mainly used internally.
`defer_init` is use internally to aid the module code generator. This
causes the generated code to be able to import without the global
environment variable to be set.
.. versionadded:: 2.4
`defer_init` parameter added.
"""
source_hint = None
try:
if isinstance(source, basestring):
source_hint = source
source = self._parse(source, name, filename)
if self.optimized:
source = optimize(source, self)
source = self._generate(source,
name,
filename,
defer_init=defer_init)
if raw:
return source
if filename is None:
filename = '<template>'
else:
filename = _encode_filename(filename)
return self._compile(source, filename)
except TemplateSyntaxError:
exc_info = sys.exc_info()
self.handle_exception(exc_info, source_hint=source)
def compile(self, source, name = None, filename = None, raw = False, defer_init = False):
source_hint = None
try:
if isinstance(source, basestring):
source_hint = source
source = self._parse(source, name, filename)
if self.optimized:
source = optimize(source, self)
source = self._generate(source, name, filename, defer_init=defer_init)
if raw:
return source
if filename is None:
filename = '<template>'
else:
filename = _encode_filename(filename)
return self._compile(source, filename)
except TemplateSyntaxError:
exc_info = sys.exc_info()
self.handle_exception(exc_info, source_hint=source)
def compile(self, source, name=None, filename=None, raw=False,
defer_init=False):
"""Compile a node or template source code. The `name` parameter is
the load name of the template after it was joined using
:meth:`join_path` if necessary, not the filename on the file system.
the `filename` parameter is the estimated filename of the template on
the file system. If the template came from a database or memory this
can be omitted.
The return value of this method is a python code object. If the `raw`
parameter is `True` the return value will be a string with python
code equivalent to the bytecode returned otherwise. This method is
mainly used internally.
`defer_init` is use internally to aid the module code generator. This
causes the generated code to be able to import without the global
environment variable to be set.
.. versionadded:: 2.4
`defer_init` parameter added.
"""
source_hint = None
try:
if isinstance(source, string_types):
source_hint = source
source = self._parse(source, name, filename)
if self.optimized:
source = optimize(source, self)
source = self._generate(source, name, filename,
defer_init=defer_init)
if raw:
return source
if filename is None:
filename = '<template>'
else:
filename = encode_filename(filename)
return self._compile(source, filename)
except TemplateSyntaxError:
exc_info = sys.exc_info()
self.handle_exception(exc_info, source_hint=source_hint)
