This commit is contained in:
Benjamín 2021-09-03 17:13:00 +02:00
parent f017d73429
commit d8ef457c22

@ -1,69 +1,87 @@
import math
import cv2
import mediapipe as mp
import time
import math
import pyautogui
cap = cv2.VideoCapture(0)
pyautogui.PAUSE = 0.01
mpHands = mp.solutions.hands
hands = mpHands.Hands(max_num_hands=1, min_tracking_confidence=0.80, min_detection_confidence=0.90)
mpDraw = mp.solutions.drawing_utils
testing = 23
click_dis = 35
sensitivity = 3.5
class Hands_AI:
def __init__(self):
self.cap = cv2.VideoCapture(0)
pyautogui.PAUSE = 0.01
self.mpHands = mp.solutions.hands
self.hands = self.mpHands.Hands(max_num_hands=1, min_tracking_confidence=0.95, min_detection_confidence=0.90)
self.mpDraw = mp.solutions.drawing_utils
self.mov_dis = 0.2479
self.click_dis = 0.2823
self.sensitivity = 3.5
self.x, self.y = None, None
self.click = False
def get_distance(first, second, height, width):
dist_x = (results.multi_hand_landmarks[0].landmark[first].x - results.multi_hand_landmarks[0].landmark[
def get_distance(self, first, second, height, width):
dist_x = (self.results.multi_hand_landmarks[0].landmark[first].x -
self.results.multi_hand_landmarks[0].landmark[
second].x) * width
dist_y = (results.multi_hand_landmarks[0].landmark[first].y - results.multi_hand_landmarks[0].landmark[
dist_y = (self.results.multi_hand_landmarks[0].landmark[first].y -
self.results.multi_hand_landmarks[0].landmark[
second].y) * height
return math.sqrt(abs(dist_x ** 2 + dist_y ** 2))
x, y = None, None
while True:
success, img = cap.read()
h, w, c = img.shape
def run(self, q):
while True:
success, img = self.cap.read()
self.h, self.w, self.c = img.shape
imgRGB = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
results = hands.process(imgRGB)
if results.multi_hand_landmarks:
dist_palm = round(get_distance(0, 9, h, w) / 100, 3)
if not x and not y:
x, y = results.multi_hand_landmarks[0].landmark[4].x * w, results.multi_hand_landmarks[0].landmark[4].y * h
dis_1 = get_distance(4, 8, h, w)
cv2.putText(img, f"""dist 4-8: {round(dis_1)}/{round(testing * dist_palm, 2)}""", (0, 15),
self.results = self.hands.process(imgRGB)
if self.results.multi_hand_landmarks:
dist_palm = round(self.get_distance(0, 5, self.h, self.w))
if not self.x and not self.y:
self.x, self.y = self.results.multi_hand_landmarks[0].landmark[4].x * self.w, \
self.results.multi_hand_landmarks[0].landmark[4].y * self.h
dis_1 = self.get_distance(12, 8, self.h, self.w)
cv2.putText(img,
f"""MOVE: {round(dis_1)}/{round(self.mov_dis * dist_palm, 2)} - {"true" if dis_1 < self.mov_dis * dist_palm else "false"}""",
(0, 15),
cv2.FONT_HERSHEY_PLAIN, 1.5, (255, 0, 255), thickness=2)
cv2.putText(img, f"""MOVE: {"True" if dis_1 < testing else "False"}""", (0, 40),
cv2.putText(img,
f"""CLICK: {round(self.get_distance(5, 3, self.h, self.w))}/{round(self.click_dis * dist_palm, 2)} - {"true" if self.get_distance(5, 3, self.h, self.w) < self.click_dis * dist_palm else "false"}""",
(0, 40),
cv2.FONT_HERSHEY_PLAIN, 1.5, (255, 0, 255), thickness=2)
cv2.putText(img, f"""dist 4-12: {round(get_distance(12, 4, h, w))}/{round(click_dis * dist_palm, 2)}""",
cv2.putText(img,
f"""DRAG: {"true" if dis_1 < self.mov_dis * dist_palm and self.get_distance(5, 3, self.h, self.w) < self.click_dis * dist_palm else "false"}""",
(0, 65),
cv2.FONT_HERSHEY_PLAIN, 1.5, (255, 0, 255), thickness=2)
cv2.putText(img, f"""CLICK: {"True" if get_distance(12, 4, h, w) < click_dis * dist_palm else "False"}""",
(0, 90),
cv2.FONT_HERSHEY_PLAIN, 1.5, (255, 0, 255), thickness=2)
cv2.putText(img, f"""dsit 0-9: {dist_palm}""", (0, 115),
cv2.FONT_HERSHEY_PLAIN, 1.5, (255, 0, 255), thickness=2)
for handLms in results.multi_hand_landmarks:
mpDraw.draw_landmarks(img, handLms)
if dis_1 < testing * dist_palm and get_distance(12, 4, h, w) < click_dis * dist_palm:
pyautogui.dragRel(-(results.multi_hand_landmarks[0].landmark[3].x * w - x) * sensitivity,
(results.multi_hand_landmarks[0].landmark[3].y * h - y) * sensitivity, duration=0.001)
elif dis_1 < testing * dist_palm:
pyautogui.moveRel(-(results.multi_hand_landmarks[0].landmark[3].x * w - x) * sensitivity,
(results.multi_hand_landmarks[0].landmark[3].y * h - y) * sensitivity, duration=0.001)
for handLms in self.results.multi_hand_landmarks:
self.mpDraw.draw_landmarks(img, handLms, self.mpHands.HAND_CONNECTIONS)
if dis_1 < self.mov_dis * dist_palm and self.get_distance(5, 3, self.h,
self.w) < self.click_dis * dist_palm:
pyautogui.mouseDown()
pyautogui.moveRel(
-(self.results.multi_hand_landmarks[0].landmark[8].x * self.w - self.x) * self.sensitivity,
(self.results.multi_hand_landmarks[0].landmark[8].y * self.h - self.y) * self.sensitivity,
duration=0.001)
elif dis_1 < self.mov_dis * dist_palm:
pyautogui.mouseUp()
pyautogui.moveRel(
-(self.results.multi_hand_landmarks[0].landmark[8].x * self.w - self.x) * self.sensitivity,
(self.results.multi_hand_landmarks[0].landmark[8].y * self.h - self.y) * self.sensitivity,
duration=0.001)
elif get_distance(12, 4, h, w) < click_dis * dist_palm and not click:
elif self.get_distance(5, 3, self.h, self.w) < self.click_dis * dist_palm and not self.click:
pyautogui.mouseUp()
pyautogui.click()
click = True
# mouse.click("left")
print("clicked")
self.click = True
else:
click = False
x, y = results.multi_hand_landmarks[0].landmark[3].x * w, results.multi_hand_landmarks[0].landmark[3].y * h
pyautogui.mouseUp()
self.click = False
self.x, self.y = self.results.multi_hand_landmarks[0].landmark[8].x * self.w, \
self.results.multi_hand_landmarks[0].landmark[8].y * self.h
else:
x, y = None, None
self.x, self.y = None, None
cv2.imshow("Image", img)
cv2.waitKey(1)
if __name__ == '__main__':
ai = Hands_AI()
ai.run("X")