def openpose_demo(canvas):
# Custom Params (refer to include/openpose/flags.hpp for more parameters)
params = dict()
params["model_folder"] = "../../../models/"
params["hand"] = True
# Starting OpenPose
opWrapper = op.WrapperPython()
opWrapper.configure(params)
opWrapper.start()
cap = cv2.VideoCapture(0)
before_form = []
current_form = []
counter = 0
global rootFlag
while (True):
ret, frame = cap.read()
# Process Image
datum = op.Datum()
imageToProcess = frame
datum.cvInputData = imageToProcess
opWrapper.emplaceAndPop([datum])
cv2.imshow("OpenPose 1.5.0 - Tutorial Python API", datum.cvOutputData)
#print(datum.handKeypoints[1][0])
right_hand, flag = hm.is_hand_recog(datum.handKeypoints[1][0])
if flag == True:
current_form = hm.check_handform2(right_hand)
#print(current_form,counter)
if current_form == before_form: #1フレーム前の形と現在の形を比較する
counter = counter + 1 #同じだったらカウントを１増やす
if (counter == 10): #カウントが10になったら（10回連続して同じ形を認識したら）
canvas.delete("all")
n = hm.list_to_num(current_form) #手の形から番号を決定
try:
canvas.create_text(300, 300, text=n, font=('', 350))
except Exception as e:
break
else:
counter = 0 #違ったらカウントをリセットする
before_form = current_form
if cv2.waitKey(1) & 0xFF == ord('q'):
break
if rootFlag == False:
break
cap.release()
cv2.destroyAllWindows()
def update(self):
ret,frame = self.cap.read()
# Process Image
datum = op.Datum()
imageToProcess = frame
datum.cvInputData = imageToProcess
self.opWrapper.emplaceAndPop([datum])
cv2.namedWindow("OpenPose 1.5.0 - Tutorial Python API", cv2.WINDOW_KEEPRATIO | cv2.WINDOW_NORMAL) #ウィンドウサイズを可変に
cv2.imshow("OpenPose 1.5.0 - Tutorial Python API", datum.cvOutputData)
right_hand,flag = hm.is_hand_recog(datum.handKeypoints[1][0])
self.current_form = hm.check_handform2(right_hand)
if self.current_form == self.before_form: #1フレーム前の形と現在の形を比較する
self.counter = self.counter + 1 #同じだったらカウントを１増やす
if(self.counter == 5): #カウントが10になったら（10回連続して同じ形を認識したら）
n = hm.list_to_num(self.current_form) #手の形から番号を決定
print(n)
else:
self.counter = 0 #違ったらカウントをリセットする
self.before_form = self.current_form
if self.onoff:
if pyxel.btnr(pyxel.KEY_RIGHT):
self.now = changechannel(self.now,1)
if pyxel.btnr(pyxel.KEY_LEFT):
self.now = changechannel(self.now,-1)
if pyxel.btnr(pyxel.KEY_UP):
pyxel.cls(channelToImage(self.channel[self.now]))
pyxel.text(int(pyxel.width)-5, 5, str(self.channel[self.now]), 0)
self.vol = volumeChange(self.vol,1)
self.volcon = 50
if pyxel.btnr(pyxel.KEY_DOWN):
pyxel.cls(channelToImage(self.channel[self.now]))
pyxel.text(int(pyxel.width)-5, 5, str(self.channel[self.now]), 0)
self.vol = volumeChange(self.vol,-1)
self.volcon = 50
if pyxel.btnr(pyxel.KEY_O) and self.onoff==True:
self.onoff = False
self.range = int(pyxel.height/2)
self.volcon = 0
if pyxel.btnr(pyxel.KEY_I) and self.onoff==False:
self.onoff = True
self.range = 0
print(self.onoff)
def openpose_demo(canvas):
# Custom Params (refer to include/openpose/flags.hpp for more parameters)
params = dict()
params["model_folder"] = "../../../models/"
params["hand"] = True
# Starting OpenPose
opWrapper = op.WrapperPython()
opWrapper.configure(params)
opWrapper.start()
cap = cv2.VideoCapture(0) #0だったり1だったり
#cap.set(3,1280)
#cap.set(4,960)
cap.set(3, 1920)
cap.set(4, 1080)
before_form = []
current_form = []
counter = 0
global rootFlag
while (True):
ret, frame = cap.read()
#cv2.imshow('Raw Frame', frame)
#frame = cv2.cvtColor(frame,cv2.COLOR_BGR2GRAY)
#frame = cv2.cvtColor(frame,cv2.COLOR_GRAY2RGB)
#frame = adjust(frame,alpha=1.0,beta=-25.0)
# Process Image
datum = op.Datum()
imageToProcess = frame
datum.cvInputData = imageToProcess
opWrapper.emplaceAndPop([datum])
cv2.namedWindow("OpenPose 1.5.0 - Tutorial Python API",
cv2.WINDOW_KEEPRATIO
| cv2.WINDOW_NORMAL) #ウィンドウサイズを可変に
cv2.imshow("OpenPose 1.5.0 - Tutorial Python API", datum.cvOutputData)
#print(datum.handKeypoints[1][0])
try:
right_hand, flag = hm.is_hand_recog(datum.handKeypoints[1][0])
except Exception as e:
continue
#カメラの指定によっては「IndexError: too many indices for array」というエラーが出る
if flag == True:
current_form = hm.check_handform2(right_hand)
print(hm.list_to_num(current_form))
if current_form == before_form: #1フレーム前の形と現在の形を比較する
counter = counter + 1 #同じだったらカウントを１増やす
if (counter == 5): #カウントが10になったら（10回連続して同じ形を認識したら）
canvas.delete("all")
n = hm.list_to_num(current_form) #手の形から番号を決定
#if n == '5':
# response = requests.post('https://api.nature.global/1/signals/c0035911-6e5d-43c5-a965-c11dcebcf924/send', headers=headers, verify=False)
#if n == '4':
# response = requests.post('https://api.nature.global/1/signals/00db0c08-6677-410a-bb65-4f2edc7d47c8/send', headers=headers, verify=False)
# response = requests.post('https://api.nature.global/1/signals/00db0c08-6677-410a-bb65-4f2edc7d47c8/send', headers=headers, verify=False)
#if n == '3':
# response = requests.post('https://api.nature.global/1/signals/9ca9ac8e-8739-4dad-9e75-bf1f8a93b597/send', headers=headers, verify=False)
# response = requests.post('https://api.nature.global/1/signals/9ca9ac8e-8739-4dad-9e75-bf1f8a93b597/send', headers=headers, verify=False)
try:
canvas.create_text(300, 300, text=n, font=('', 350))
except Exception as e:
break
else:
counter = 0 #違ったらカウントをリセットする
try:
canvas.delete("all")
except Exception as e:
break
before_form = current_form
else:
canvas.delete("all")
if cv2.waitKey(1) & 0xFF == ord('q'):
break
if rootFlag == False:
break
cap.release()
cv2.destroyAllWindows()
def openpose_demo(canvas):
# Custom Params (refer to include/openpose/flags.hpp for more parameters)
params = dict()
params["model_folder"] = "../../../models/"
params["hand"] = True
# Starting OpenPose
opWrapper = op.WrapperPython()
opWrapper.configure(params)
opWrapper.start()
upperbody_cascade_path = 'haarcascade_upperbody.xml'
upperbody_cascade = cv2.CascadeClassifier(upperbody_cascade_path)
cap = cv2.VideoCapture(0) #0だったり1だったり
before_form = []
current_form = []
counter = 0
global rootFlag
while (True):
ret, frame = cap.read()
frame = adjust(frame, alpha=1.0, beta=-25.0)
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
bodys = upperbody_cascade.detectMultiScale(gray,
minNeighbors=3,
minSize=(100, 100))
max_x, max_y, max_h, max_w = max_body_select(bodys)
print(max_x, max_y, max_h, max_w)
#if max_h < 200:
# continue
try:
frame2 = frame[max_y - 20:max_y + max_h + 20,
max_x + 20:max_x + max_w + 20]
#frame2 = scale_box(frame,640,480)
cv2.imshow('Raw Frame', frame2)
# Process Image
datum = op.Datum()
imageToProcess = frame2
datum.cvInputData = imageToProcess
opWrapper.emplaceAndPop([datum])
cv2.namedWindow("OpenPose 1.5.0 - Tutorial Python API",
cv2.WINDOW_KEEPRATIO
| cv2.WINDOW_NORMAL) #ウィンドウサイズを可変に
cv2.imshow("OpenPose 1.5.0 - Tutorial Python API",
datum.cvOutputData)
#print(datum.handKeypoints[1][0])
try:
right_hand, flag = hm.is_hand_recog(datum.handKeypoints[1][0])
except Exception as e:
continue
#カメラの指定によっては「IndexError: too many indices for array」というエラーが出る
if flag == True:
current_form = hm.check_handform2(right_hand)
#print(current_form,counter)
if current_form == before_form: #1フレーム前の形と現在の形を比較する
counter = counter + 1 #同じだったらカウントを１増やす
if (counter == 2): #カウントが10になったら（10回連続して同じ形を認識したら）
canvas.delete("all")
n = hm.list_to_num(current_form) #手の形から番号を決定
try:
canvas.create_text(300,
300,
text=n,
font=('', 350))
except Exception as e:
break
else:
counter = 0 #違ったらカウントをリセットする
before_form = current_form
except Exception as e:
continue
if cv2.waitKey(1) & 0xFF == ord('q'):
break
if rootFlag == False:
break
cap.release()
cv2.destroyAllWindows()
def openpose_demo(canvas):
# Custom Params (refer to include/openpose/flags.hpp for more parameters)
upperbody_cascade = cv2.CascadeClassifier(upperbody_cascade_path)
params = dict()
params["model_folder"] = "../../../models/"
params["hand"] = True
# Starting OpenPose
opWrapper = op.WrapperPython()
opWrapper.configure(params)
opWrapper.start()
cap = cv2.VideoCapture(0) #0だったり1だったり
cap.set(3, 1280)
cap.set(4, 960)
before_form = []
current_form = []
counter = 0
global rootFlag
while (True):
ret, frame = cap.read()
frame = adjust(frame, alpha=1.0, beta=-25.0)
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
bodys = upperbody_cascade.detectMultiScale(gray)
max_x, max_y, max_h, max_w = max_body_select(bodys)
print(max_x, max_y, max_h, max_w)
try:
frame2 = frame[max_y:max_y + max_h, max_x:max_x + max_w]
cv2.imshow("zoom image", frame2)
# Process Image
datum2 = op.Datum()
datum2.cvInputData = frame2
opWrapper.emplaceAndPop([datum2])
#cv2.imshow("zoom image", datum2.cvOutputData)
try:
right_hand, flag = hm.is_hand_recog(datum2.handKeypoints[1][0])
except Exception as e:
continue
#カメラの指定によっては「IndexError: too many indices for array」というエラーが出る
if flag == True:
current_form = hm.check_handform2(right_hand)
#print(current_form,counter)
if current_form == before_form: #1フレーム前の形と現在の形を比較する
counter = counter + 1 #同じだったらカウントを１増やす
if (counter == 2): #カウントが10になったら（10回連続して同じ形を認識したら）
canvas.delete("all")
n = hm.list_to_num(current_form) #手の形から番号を決定
try:
canvas.create_text(300,
300,
text=n,
font=('', 350))
except Exception as e:
break
else:
counter = 0 #違ったらカウントをリセットする
before_form = current_form
if cv2.waitKey(1) & 0xFF == ord('q'):
break
if rootFlag == False:
break
except Exception as e:
continue
cap.release()
cv2.destroyAllWindows()
def openpose_demo(canvas):
# Custom Params (refer to include/openpose/flags.hpp for more parameters)
params = dict()
params["model_folder"] = "../../../models/"
params["hand"] = True
# Starting OpenPose
opWrapper = op.WrapperPython()
opWrapper.configure(params)
opWrapper.start()
kinect_ir = PyKinectRuntime.PyKinectRuntime(
PyKinectV2.FrameSourceTypes_Infrared
| PyKinectV2.FrameSourceTypes_Depth)
kinect_color = PyKinectRuntime.PyKinectRuntime(
PyKinectV2.FrameSourceTypes_Color | PyKinectV2.FrameSourceTypes_Body
| PyKinectV2.FrameSourceTypes_Depth)
depth_width, depth_height = kinect_ir.depth_frame_desc.Width, kinect_ir.depth_frame_desc.Height
before_form = []
current_form = []
counter = 0
global rootFlag
while (True):
frame_ir = kinect_ir.get_last_infrared_frame()
frame_ir = np.uint8(frame_ir.clip(1, 4080) / 16.)
frame_ir = np.reshape(frame_ir,
(depth_height, depth_width)).astype(np.uint8)
ret, thresh1 = cv2.threshold(frame_ir, 130, 255, cv2.THRESH_BINARY)
thresh1 = correction(thresh1)
thresh1 = cv2.cvtColor(thresh1, cv2.COLOR_GRAY2RGB)
M = np.float32([[1, 0, 7], [0, 1, 0]])
kernel = np.ones((5, 5), np.uint8)
thresh1 = cv2.dilate(thresh1, kernel, iterations=1)
thresh1 = cv2.warpAffine(thresh1, M, (512, 424))
frame_color = kinect_color.get_last_color_frame()
frame_color = frame_color.reshape((1080, 1920, -1)).astype(np.uint8)
scale = max(512 / frame_color.shape[1], 424 / frame_color.shape[0])
frame_color = cv2.resize(frame_color, dsize=None, fx=scale, fy=scale)
frame_color = frame_color[:, 121:633]
frame_color = cv2.cvtColor(frame_color, cv2.COLOR_RGBA2RGB)
frame = cv2.bitwise_and(frame_color, thresh1)
frame_ir = None
frame_color = None
# Process Image
datum = op.Datum()
imageToProcess = frame
datum.cvInputData = imageToProcess
opWrapper.emplaceAndPop([datum])
cv2.namedWindow("OpenPose 1.5.0 - Tutorial Python API",
cv2.WINDOW_KEEPRATIO
| cv2.WINDOW_NORMAL) #ウィンドウサイズを可変に
cv2.imshow("OpenPose 1.5.0 - Tutorial Python API", datum.cvOutputData)
#print(datum.handKeypoints[1][0])
try:
right_hand, flag = hm.is_hand_recog(datum.handKeypoints[1][0])
except Exception as e:
continue
#カメラの指定によっては「IndexError: too many indices for array」というエラーが出る
if flag == True:
current_form = hm.check_handform2(right_hand)
print(hm.list_to_num(current_form))
#print(current_form,counter)
if current_form == before_form: #1フレーム前の形と現在の形を比較する
counter = counter + 1 #同じだったらカウントを１増やす
if (counter == 2): #カウントが10になったら（10回連続して同じ形を認識したら）
canvas.delete("all")
n = hm.list_to_num(current_form) #手の形から番号を決定
try:
canvas.create_text(300, 300, text=n, font=('', 350))
except Exception as e:
break
else:
counter = 0 #違ったらカウントをリセットする
before_form = current_form
if cv2.waitKey(1) & 0xFF == ord('q'):
break
if rootFlag == False:
break
cap.release()
cv2.destroyAllWindows()
while (True):
ret, frame = cap.read()
# Process Image
datum = op.Datum()
imageToProcess = frame
datum.cvInputData = imageToProcess
opWrapper.emplaceAndPop([datum])
cv2.imshow("OpenPose 1.5.0 - Tutorial Python API", datum.cvOutputData)
#print(datum.handKeypoints[1][0])
right_hand, flag = hm.is_hand_recog(datum.handKeypoints[1][0])
if flag == True:
current_form = hm.check_handform2(right_hand)
#print(current_form,counter)
if current_form == before_form:
counter = counter + 1
if (counter == 10):
print(hm.list_to_num(current_form))
else:
counter = 0
before_form = current_form
if cv2.waitKey(1) & 0xFF == ord('q'):
break
cap.release()
cv2.destroyAllWindows()
def openpose_demo():
# Custom Params (refer to include/openpose/flags.hpp for more parameters)
params = dict()
params["model_folder"] = "../../../models/"
params["hand"] = True
# Starting OpenPose
opWrapper = op.WrapperPython()
opWrapper.configure(params)
opWrapper.start()
cap = cv2.VideoCapture(0) #0だったり1だったり
#cap.set(3,1280)
#cap.set(4,960)
cap.set(3, 1920)
cap.set(4, 1080)
before_form = []
current_form = []
counter = 0
global rootFlag
while (True):
ret, frame = cap.read()
# Process Image
datum = op.Datum()
imageToProcess = frame
datum.cvInputData = imageToProcess
opWrapper.emplaceAndPop([datum])
cv2.namedWindow("OpenPose 1.5.0 - Tutorial Python API",
cv2.WINDOW_KEEPRATIO
| cv2.WINDOW_NORMAL) #ウィンドウサイズを可変に
cv2.imshow("OpenPose 1.5.0 - Tutorial Python API", datum.cvOutputData)
#print(datum.handKeypoints[1][0])
try:
right_hand, flag = hm.is_hand_recog(datum.handKeypoints[1][0])
except Exception as e:
continue
#カメラの指定によっては「IndexError: too many indices for array」というエラーが出る
if flag == True:
current_form = hm.check_handform2(right_hand)
#print(current_form)
if current_form == before_form: #1フレーム前の形と現在の形を比較する
counter = counter + 1 #同じだったらカウントを１増やす
if (counter == 5): #カウントが10になったら（10回連続して同じ形を認識したら）
n = hm.list_to_num(current_form) #手の形から番号を決定
if n == '5':
global onoff
if onoff:
onoff = False
else:
onoff = True
if n == '4':
pass
if n == '3':
pass
else:
counter = 0 #違ったらカウントをリセットする
before_form = current_form
if cv2.waitKey(1) & 0xFF == ord('q'):
break
cap.release()
cv2.destroyAllWindows()
def openpose_demo(canvas):
# Custom Params (refer to include/openpose/flags.hpp for more parameters)
params = dict()
params["model_folder"] = "../../../models/"
params["hand"] = True
# Starting OpenPose
opWrapper = op.WrapperPython()
opWrapper.configure(params)
opWrapper.start()
kinect = PyKinectRuntime.PyKinectRuntime(
PyKinectV2.FrameSourceTypes_Infrared)
depth_width, depth_height = kinect.depth_frame_desc.Width, kinect.depth_frame_desc.Height
before_form = []
current_form = []
counter = 0
global rootFlag
while (True):
frame = kinect.get_last_infrared_frame()
frame = np.uint8(frame.clip(1, 4080) / 16.)
frame = np.reshape(frame, (depth_height, depth_width)).astype(np.uint8)
frame = cv2.cvtColor(frame, cv2.COLOR_GRAY2BGR)
# Process Image
datum = op.Datum()
imageToProcess = frame
datum.cvInputData = imageToProcess
opWrapper.emplaceAndPop([datum])
cv2.namedWindow("OpenPose 1.5.0 - Tutorial Python API",
cv2.WINDOW_KEEPRATIO
| cv2.WINDOW_NORMAL) #ウィンドウサイズを可変に
cv2.imshow("OpenPose 1.5.0 - Tutorial Python API", datum.cvOutputData)
#print(datum.handKeypoints[1][0])
try:
right_hand, flag = hm.is_hand_recog(datum.handKeypoints[1][0])
except Exception as e:
continue
#カメラの指定によっては「IndexError: too many indices for array」というエラーが出る
if flag == True:
current_form = hm.check_handform2(right_hand)
print(hm.list_to_num(current_form))
#print(current_form,counter)
if current_form == before_form: #1フレーム前の形と現在の形を比較する
counter = counter + 1 #同じだったらカウントを１増やす
if (counter == 2): #カウントが10になったら（10回連続して同じ形を認識したら）
canvas.delete("all")
n = hm.list_to_num(current_form) #手の形から番号を決定
try:
canvas.create_text(300, 300, text=n, font=('', 350))
except Exception as e:
break
else:
counter = 0 #違ったらカウントをリセットする
before_form = current_form
if cv2.waitKey(1) & 0xFF == ord('q'):
break
if rootFlag == False:
break
cv2.destroyAllWindows()