Functions — github.com/Luca96/carla-driving-rl-agent

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Functions646 in github.com/Luca96/carla-driving-rl-agent

⨍ Functions 646◇ Types & classes 64

Functionstage_s3

Stage-3: random origin with 50 vehicles and 50 pedestrians + random light weather

core/learning.py:372

Functionstage_s4

Stage-4: town with regular traffic (50 vehicles and 50 pedestrians) + random light weather + data-aug

core/learning.py:412

Methodstep

Performs one environment step (i.e. it updates the world, etc.)

core/carla_env.py:241

Methodstep

(self, actions)

rl/environments/carla/environment.py:331

Methodstep

(self, actions)

rl/environments/carla/environment.py:925

Methodsuccess_rate

Returns the success rate: num. of successful episodes

rl/environments/carla/environment.py:1443

rl/networks/networks.py:270

Methodterminal_condition

(self, **kwargs)

rl/environments/carla/environment.py:946

Methodtest

Rapid testing

rl/agents/agents.py:145

Functiontf_01_scaling

(x)

rl/utils.py:405

Functiontf_chance

Use to get a single random number between 0 and 1

rl/utils.py:332

Functiontf_coarse_dropout

(image, size=25, amount=0.1, seed=None)

rl/augmentations/augmentations.py:71

Functiontf_coarse_dropout_batch

(images, size=25, amount=0.1, seed=None)

rl/augmentations/augmentations.py:80

Functiontf_cutout

(image, size=5, seed=None)

rl/augmentations/augmentations.py:45

Functiontf_cutout_batch

(images, size=5, seed=None)

rl/augmentations/augmentations.py:55

Functiontf_dot_product

(x, y, axis=0, keepdims=False)

Reshapes the given input as a 1-D array

rl/utils.py:486

Functiontf_gaussian_noise

(image, amount=0.25, std=0.2, seed=None)

rl/augmentations/augmentations.py:128

Functiontf_gaussian_noise_batch

(images, amount=0.25, std=0.2, seed=None)

rl/augmentations/augmentations.py:139

Functiontf_median_blur

(image, size=5)

rl/augmentations/augmentations.py:200

Functiontf_multiply_channels

Channel-wise multiplication of given image by random scalars. The scalars sum to one, each scalar multiplies an entire channel

rl/augmentations/augmentations.py:214

Functiontf_quality

(image, min_quality: int, max_quality: int, seed=None)

rl/augmentations/augmentations.py:40

Functiontf_replace_nan

(tensor, value=0.0, dtype=tf.float32)

rl/utils.py:296

Functiontf_rgb

(gray_image)

rl/augmentations/augmentations.py:123

Functiontf_rotate

(image, degrees=90)

rl/augmentations/augmentations.py:94

Functiontf_salt_and_pepper

(image, amount=0.1, prob=0.5, seed=None)

rl/augmentations/augmentations.py:153

Functiontf_salt_and_pepper_batch

(images, amount=0.1, prob=0.5, seed=None)

rl/augmentations/augmentations.py:164

Functiontf_scale_shape

(image, scale: Tuple[float, float])

rl/augmentations/augmentations.py:274

Functiontf_shuffle_tensors

Shuffles all the given tensors in the SAME way. Source: https://stackoverflow.com/questions/56575877/shuffling-two-tensors-in-the-same-order

rl/utils.py:352

Functiontf_size

(image)

rl/augmentations/augmentations.py:279

Functiontf_sobel

Applies Sobel filtering

rl/augmentations/augmentations.py:227

Functiontf_sp_norm

(x, eps=1e-3)

rl/utils.py:344

Functiontf_to_scalar_shape

(tensor)

rl/utils.py:397

Functionto_int

Casts the given tensor to tf.int32 datatype

This method returns list of (carla.Waypoint, RoadOption) from origin to destination

rl/environments/carla/navigation/global_route_planner.py:345

Methodtrainable_variables

(self)

rl/networks/networks.py:26

Functionunpack_trace

Reads a trace (i.e. a dict-like object created by np.load()) and unpacks it as a tuple (state, action, reward, done). - When `unpack is

rl/utils.py:536

Methodupdate

(self)

core/carla_agent.py:129

Methodupdate

(self, x, normalize=False)

rl/utils.py:687

Methodvalue_batch_tensors

Defines a batch of data for the value network

core/carla_agent.py:333

Functionwith_profiling

(*args, **kwargs)

rl/environments/carla/tools/utils.py:139

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