MLDL_정리/Sample
[DL] - MediaPipe / Video pose Detection
KimTory
2022. 3. 6. 18:14
👉 개발 환경 : Jupyter Notebook, Python 3.9, MidiaPipe, Opencv
✍ Source Code / Method 구현부
import cv2
import mediapipe as mp
import time
class PoseDetector:
def __init__(self, mode = False, upBody = False, smooth=True, detectionCon = 0.5, trackCon = 0.5):
self.mode = mode
self.upBody = upBody
self.smooth = smooth
self.detectionCon = detectionCon
self.trackCon = trackCon
self.mpDraw = mp.solutions.drawing_utils
self.mpPose = mp.solutions.pose
self.pose = self.mpPose.Pose(self.mode, self.upBody, self.smooth, self.detectionCon, self.trackCon)
def findPose(self, img, draw=True):
imgRGB = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
self.results = self.pose.process(imgRGB)
if self.results.pose_landmarks:
if draw:
self.mpDraw.draw_landmarks(img, self.results.pose_landmarks, self.mpPose.POSE_CONNECTIONS)
return img, self.results.pose_landmarks, self.mpPose.POSE_CONNECTIONS
def getPosition(self, img, draw=True):
lmList= []
if self.results.pose_landmarks:
for id, lm in enumerate(self.results.pose_landmarks.landmark):
h, w, c = img.shape
cx, cy = int(lm.x * w), int(lm.y * h)
lmList.append([id, cx, cy])
if draw:
cv2.circle(img, (cx, cy), 5, (255, 0, 0), cv2.FILLED)
return lmList✍ Source Code / 예측
import cv2
import time
import pose_estimation_class as pm
import mediapipe as mp
import argparse
# construct the argument parser and parse the arguments
ap = argparse.ArgumentParser()
ap.add_argument("-i", "--input", required=True,
help="path to our input video")
ap.add_argument("-o", "--output", required=True,
help="path to our output video")
ap.add_argument("-s", "--fps", type=int, default=30,
help="set fps of output video")
ap.add_argument("-b", "--black", type=str, default=False,
help="set black background")
args = vars(ap.parse_args())
pTime = 0
black_flag = eval(args["black"])
cap = cv2.VideoCapture(args["input"])
out = cv2.VideoWriter(args["output"], cv2.VideoWriter_fourcc(*"MJPG"),
args["fps"], (int(cap.get(3)), int(cap.get(4))))
detector = pm.PoseDetector()
while(cap.isOpened()):
success, img = cap.read()
if success == False:
break
img, p_landmarks, p_connections = detector.findPose(img, False)
# use black background
if black_flag:
img = img * 0
# draw points
mp.solutions.drawing_utils.draw_landmarks(img, p_landmarks, p_connections)
lmList = detector.getPosition(img)
cTime = time.time()
fps = 1 / (cTime - pTime)
pTime = cTime
out.write(img)
cv2.imshow("Image", img)
cv2.waitKey(1)
cap.release()
out.release()
cv2.destroyAllWindows()✍ OutPut
