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chore (docs): add docstring for processor

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This commit is contained in:
Adil Zouitine
2025-07-04 11:07:18 +02:00
parent 453e0a995f
commit 9f33791b19
5 changed files with 214 additions and 17 deletions
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tests/processor/test_observation_processor.py
+8 -8
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@@ -20,8 +20,8 @@ import torch
from lerobot.processor.observation_processor import (
ImageProcessor,
ObservationProcessor,
StateProcessor,
VanillaObservationProcessor,
)
@@ -262,7 +262,7 @@ def test_no_states_in_observation():
def test_complete_observation_processing():
"""Test processing a complete observation with both images and states."""
processor = ObservationProcessor()
processor = VanillaObservationProcessor()
# Create mock data
image = np.random.randint(0, 256, size=(32, 32, 3), dtype=np.uint8)
@@ -299,7 +299,7 @@ def test_complete_observation_processing():
def test_image_only_processing():
"""Test processing observation with only images."""
processor = ObservationProcessor()
processor = VanillaObservationProcessor()
image = np.random.randint(0, 256, size=(64, 64, 3), dtype=np.uint8)
observation = {"pixels": image}
@@ -314,7 +314,7 @@ def test_image_only_processing():
def test_state_only_processing():
"""Test processing observation with only states."""
processor = ObservationProcessor()
processor = VanillaObservationProcessor()
agent_pos = np.array([1.0, 2.0], dtype=np.float32)
observation = {"agent_pos": agent_pos}
@@ -329,7 +329,7 @@ def test_state_only_processing():
def test_empty_observation():
"""Test processing empty observation."""
processor = ObservationProcessor()
processor = VanillaObservationProcessor()
observation = {}
transition = (observation, None, None, None, None, None, None)
@@ -344,7 +344,7 @@ def test_custom_sub_processors():
"""Test ObservationProcessor with custom sub-processors."""
image_proc = ImageProcessor()
state_proc = StateProcessor()
processor = ObservationProcessor(image_processor=image_proc, state_processor=state_proc)
processor = VanillaObservationProcessor(image_processor=image_proc, state_processor=state_proc)
# Should use the provided processors
assert processor.image_processor is image_proc
@@ -356,7 +356,7 @@ def test_equivalent_to_original_function():
# Import the original function for comparison
from lerobot.envs.utils import preprocess_observation
processor = ObservationProcessor()
processor = VanillaObservationProcessor()
# Create test data similar to what the original function expects
image = np.random.randint(0, 256, size=(64, 64, 3), dtype=np.uint8)
@@ -383,7 +383,7 @@ def test_equivalent_with_image_dict():
"""Test equivalence with dictionary of images."""
from lerobot.envs.utils import preprocess_observation
processor = ObservationProcessor()
processor = VanillaObservationProcessor()
# Create test data with multiple cameras
image1 = np.random.randint(0, 256, size=(32, 32, 3), dtype=np.uint8)