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import mediapipe as mp | |
import cv2 | |
import numpy as np | |
import datetime | |
import os | |
import math | |
from django.conf import settings | |
# Drawing helpers | |
mp_drawing = mp.solutions.drawing_utils | |
mp_pose = mp.solutions.pose | |
# * Mediapipe Utils Functions | |
def calculate_angle(point1: list, point2: list, point3: list) -> float: | |
"""Calculate the angle between 3 points | |
Args: | |
point1 (list): Point 1 coordinate | |
point2 (list): Point 2 coordinate | |
point3 (list): Point 3 coordinate | |
Returns: | |
float: angle in degree | |
""" | |
point1 = np.array(point1) | |
point2 = np.array(point2) | |
point3 = np.array(point3) | |
# Calculate algo | |
angleInRad = np.arctan2(point3[1] - point2[1], point3[0] - point2[0]) - np.arctan2( | |
point1[1] - point2[1], point1[0] - point2[0] | |
) | |
angleInDeg = np.abs(angleInRad * 180.0 / np.pi) | |
angleInDeg = angleInDeg if angleInDeg <= 180 else 360 - angleInDeg | |
return angleInDeg | |
def calculate_distance(pointX: list, pointY: list) -> float: | |
"""Calculate distance between 2 points in a frame | |
Args: | |
pointX (list): First point coordinate | |
pointY (list): Second point coordinate | |
Returns: | |
float: _description_ | |
""" | |
x1, y1 = pointX | |
x2, y2 = pointY | |
return math.sqrt((x2 - x1) ** 2 + (y2 - y1) ** 2) | |
def extract_important_keypoints(results, important_landmarks: list) -> list: | |
"""Extract important landmarks' data from MediaPipe output | |
Args: | |
results : MediaPipe Pose output | |
important_landmarks (list): list of important landmarks | |
Returns: | |
list: list of important landmarks' data from MediaPipe output | |
""" | |
landmarks = results.pose_landmarks.landmark | |
data = [] | |
for lm in important_landmarks: | |
keypoint = landmarks[mp_pose.PoseLandmark[lm].value] | |
data.append([keypoint.x, keypoint.y, keypoint.z, keypoint.visibility]) | |
return np.array(data).flatten().tolist() | |
def get_drawing_color(error: bool) -> tuple: | |
"""Get drawing color for MediaPipe Pose | |
Args: | |
error (bool): True if correct pose, False if incorrect pose | |
Returns: | |
tuple: RGB colors | |
""" | |
LIGHT_BLUE = (244, 117, 66) | |
LIGHT_PINK = (245, 66, 230) | |
LIGHT_RED = (29, 62, 199) | |
LIGHT_YELLOW = (1, 143, 241) | |
return (LIGHT_YELLOW, LIGHT_RED) if error else (LIGHT_BLUE, LIGHT_PINK) | |
# * OpenCV util functions | |
def rescale_frame(frame, percent=50): | |
"""Rescale a frame from OpenCV to a certain percentage compare to its original frame | |
Args: | |
frame: OpenCV frame | |
percent (int, optional): percent to resize an old frame. Defaults to 50. | |
Returns: | |
_type_: OpenCV frame | |
""" | |
width = int(frame.shape[1] * percent / 100) | |
height = int(frame.shape[0] * percent / 100) | |
dim = (width, height) | |
return cv2.resize(frame, dim, interpolation=cv2.INTER_AREA) | |
def save_frame_as_image(frame, message: str = None): | |
""" | |
Save a frame as image to display the error | |
""" | |
now = datetime.datetime.now() | |
if message: | |
cv2.putText( | |
frame, | |
message, | |
(50, 150), | |
cv2.FONT_HERSHEY_COMPLEX, | |
0.4, | |
(0, 0, 0), | |
1, | |
cv2.LINE_AA, | |
) | |
print("Saving ...") | |
cv2.imwrite(f"../data/logs/bicep_{now}.jpg", frame) | |
# * Other util functions | |
def get_static_file_url(file_name: str) -> str: | |
"""Return static url of a file | |
Args: | |
file_name (str) | |
Returns: | |
str: Full absolute path of the file. Return None if file is not found | |
""" | |
path = f"{settings.STATICFILES_DIRS[0]}/{file_name}" | |
print(path) | |
return path if os.path.exists(path) else None | |