talksik/mediapipe
1
0
Fork 0
Code Issues Packages Projects Releases Wiki Activity

Project import generated by Copybara.

Browse Source 
GitOrigin-RevId: ea8d45731f5a052f79745e35bfd8240d6ac568d2
This commit is contained in:
MediaPipe Team
2020-12-16 00:05:25 -05:00
committed by chuoling
parent 38be2ec58f
commit 39309bedba
109 changed files with 5803 additions and 1500 deletions
Download Patch File Download Diff File Expand all files Collapse all files
mediapipe/python/solutions/face_mesh.py
+4 -4
View File
@@ -192,15 +192,15 @@ class FaceMesh(SolutionBase):
Args:
static_image_mode: Whether to treat the input images as a batch of static
and possibly unrelated images, or a video stream. See details in
https://solutions.mediapipe.dev/face_mesh#static-image-mode.
https://solutions.mediapipe.dev/face_mesh#static_image_mode.
max_num_faces: Maximum number of faces to detect. See details in
https://solutions.mediapipe.dev/face_mesh#max-num-faces.
https://solutions.mediapipe.dev/face_mesh#max_num_faces.
min_detection_confidence: Minimum confidence value ([0.0, 1.0]) for face
detection to be considered successful. See details in
https://solutions.mediapipe.dev/face_mesh#min-detection-confidence.
https://solutions.mediapipe.dev/face_mesh#min_detection_confidence.
min_tracking_confidence: Minimum confidence value ([0.0, 1.0]) for the
face landmarks to be considered tracked successfully. See details in
https://solutions.mediapipe.dev/face_mesh#min-tracking-confidence.
https://solutions.mediapipe.dev/face_mesh#min_tracking_confidence.
"""
super().__init__(
binary_graph_path=BINARYPB_FILE_PATH,
mediapipe/python/solutions/hands.py
+4 -4
View File
@@ -116,15 +116,15 @@ class Hands(SolutionBase):
Args:
static_image_mode: Whether to treat the input images as a batch of static
and possibly unrelated images, or a video stream. See details in
https://solutions.mediapipe.dev/hands#static-image-mode.
https://solutions.mediapipe.dev/hands#static_image_mode.
max_num_hands: Maximum number of hands to detect. See details in
https://solutions.mediapipe.dev/hands#max-num-hands.
https://solutions.mediapipe.dev/hands#max_num_hands.
min_detection_confidence: Minimum confidence value ([0.0, 1.0]) for hand
detection to be considered successful. See details in
https://solutions.mediapipe.dev/hands#min-detection-confidence.
https://solutions.mediapipe.dev/hands#min_detection_confidence.
min_tracking_confidence: Minimum confidence value ([0.0, 1.0]) for the
hand landmarks to be considered tracked successfully. See details in
https://solutions.mediapipe.dev/hands#min-tracking-confidence.
https://solutions.mediapipe.dev/hands#min_tracking_confidence.
"""
super().__init__(
binary_graph_path=BINARYPB_FILE_PATH,
mediapipe/python/solutions/holistic.py
+5 -4
View File
@@ -29,6 +29,7 @@ from mediapipe.calculators.tensor import tensors_to_landmarks_calculator_pb2
from mediapipe.calculators.tflite import ssd_anchors_calculator_pb2
from mediapipe.calculators.util import detections_to_rects_calculator_pb2
from mediapipe.calculators.util import landmark_projection_calculator_pb2
from mediapipe.calculators.util import local_file_contents_calculator_pb2
from mediapipe.calculators.util import non_max_suppression_calculator_pb2
from mediapipe.calculators.util import rect_transformation_calculator_pb2
from mediapipe.modules.holistic_landmark.calculators import roi_tracking_calculator_pb2
@@ -67,19 +68,19 @@ class Holistic(SolutionBase):
Args:
static_image_mode: Whether to treat the input images as a batch of static
and possibly unrelated images, or a video stream. See details in
https://solutions.mediapipe.dev/holistic#static-image-mode.
https://solutions.mediapipe.dev/holistic#static_image_mode.
upper_body_only: Whether to track the full set of 33 pose landmarks or
only the 25 upper-body pose landmarks. See details in
https://solutions.mediapipe.dev/holistic#upper-body-only.
https://solutions.mediapipe.dev/holistic#upper_body_only.
smooth_landmarks: Whether to filter landmarks across different input
images to reduce jitter. See details in
https://solutions.mediapipe.dev/holistic#smooth_landmarks.
min_detection_confidence: Minimum confidence value ([0.0, 1.0]) for person
detection to be considered successful. See details in
https://solutions.mediapipe.dev/holistic#min-detection-confidence.
https://solutions.mediapipe.dev/holistic#min_detection_confidence.
min_tracking_confidence: Minimum confidence value ([0.0, 1.0]) for the
pose landmarks to be considered tracked successfully. See details in
https://solutions.mediapipe.dev/holistic#min-tracking-confidence.
https://solutions.mediapipe.dev/holistic#min_tracking_confidence.
"""
super().__init__(
binary_graph_path=BINARYPB_FILE_PATH,
mediapipe/python/solutions/pose.py
+5 -4
View File
@@ -31,6 +31,7 @@ from mediapipe.calculators.tensor import tensors_to_landmarks_calculator_pb2
from mediapipe.calculators.tflite import ssd_anchors_calculator_pb2
from mediapipe.calculators.util import detections_to_rects_calculator_pb2
from mediapipe.calculators.util import landmarks_smoothing_calculator_pb2
from mediapipe.calculators.util import local_file_contents_calculator_pb2
from mediapipe.calculators.util import logic_calculator_pb2
from mediapipe.calculators.util import non_max_suppression_calculator_pb2
from mediapipe.calculators.util import rect_transformation_calculator_pb2
@@ -137,19 +138,19 @@ class Pose(SolutionBase):
Args:
static_image_mode: Whether to treat the input images as a batch of static
and possibly unrelated images, or a video stream. See details in
https://solutions.mediapipe.dev/pose#static-image-mode.
https://solutions.mediapipe.dev/pose#static_image_mode.
upper_body_only: Whether to track the full set of 33 pose landmarks or
only the 25 upper-body pose landmarks. See details in
https://solutions.mediapipe.dev/pose#upper-body-only.
https://solutions.mediapipe.dev/pose#upper_body_only.
smooth_landmarks: Whether to filter landmarks across different input
images to reduce jitter. See details in
https://solutions.mediapipe.dev/pose#smooth_landmarks.
min_detection_confidence: Minimum confidence value ([0.0, 1.0]) for person
detection to be considered successful. See details in
https://solutions.mediapipe.dev/pose#min-detection-confidence.
https://solutions.mediapipe.dev/pose#min_detection_confidence.
min_tracking_confidence: Minimum confidence value ([0.0, 1.0]) for the
pose landmarks to be considered tracked successfully. See details in
https://solutions.mediapipe.dev/pose#min-tracking-confidence.
https://solutions.mediapipe.dev/pose#min_tracking_confidence.
"""
super().__init__(
binary_graph_path=BINARYPB_FILE_PATH,