如何在 Python 中调整小型 OpenCV 视频捕获 window 的大小?
How to resize a small OpenCV videocapture window in Python?
我正在使用 tensorflow 制作剪刀石头布游戏,用户可以通过网络摄像头与计算机一起玩,但是网络摄像头图像太小,像这样:screenshot
这是我使用 OpenCV 的片段:
cap = cv2.VideoCapture(0)
prev_move = None
while True:
ret, frame = cap.read()
if not ret:
continue
# rectangle for user to play
cv2.rectangle(frame, (100, 100), (500, 500), (255, 255, 255), 2)
# rectangle for computer to play
cv2.rectangle(frame, (800, 100), (1200, 500), (255, 255, 255), 2)
# extract the region of image within the user rectangle
roi = frame[100:500, 100:500]
img = cv2.cvtColor(roi, cv2.COLOR_BGR2RGB)
img = cv2.resize(img, (227, 227))
# predict the move made
pred = model.predict(np.array([img]))
move_code = np.argmax(pred[0])
user_move_name = mapper(move_code)
# predict the winner (human vs computer)
if prev_move != user_move_name:
if user_move_name != "none":
computer_move_name = choice(['rock', 'paper', 'scissors'])
winner = calculate_winner(user_move_name, computer_move_name)
else:
computer_move_name = "none"
winner = "Waiting..."
prev_move = user_move_name
# display the information
font = cv2.FONT_HERSHEY_SIMPLEX
cv2.putText(frame, "Your Move: " + user_move_name,
(50, 50), font, 1.2, (255, 255, 255), 2, cv2.LINE_AA)
cv2.putText(frame, "Computer's Move: " + computer_move_name,
(750, 50), font, 1.2, (255, 255, 255), 2, cv2.LINE_AA)
cv2.putText(frame, "Winner: " + winner,
(400, 600), font, 2, (0, 0, 255), 4, cv2.LINE_AA)
if computer_move_name != "none":
icon = cv2.imread(
"{}.png".format(computer_move_name))
icon = cv2.resize(icon, (400, 400))
frame[100:500, 800:1200] = icon
cv2.imshow("Rock Paper Scissors", frame)
k = cv2.waitKey(10)
if k == ord('q'):
break
cap.release()
cv2.destroyAllWindows()
我的网络摄像头有问题吗?我尝试调整框架大小,但它不起作用。
您可以使用以下方法调整大小:
width = 1500
height = 1080
dim = (width, height)
frame = cv2.resize(frame, dim, interpolation=cv2.INTER_AREA)
我正在使用 tensorflow 制作剪刀石头布游戏,用户可以通过网络摄像头与计算机一起玩,但是网络摄像头图像太小,像这样:screenshot
这是我使用 OpenCV 的片段:
cap = cv2.VideoCapture(0)
prev_move = None
while True:
ret, frame = cap.read()
if not ret:
continue
# rectangle for user to play
cv2.rectangle(frame, (100, 100), (500, 500), (255, 255, 255), 2)
# rectangle for computer to play
cv2.rectangle(frame, (800, 100), (1200, 500), (255, 255, 255), 2)
# extract the region of image within the user rectangle
roi = frame[100:500, 100:500]
img = cv2.cvtColor(roi, cv2.COLOR_BGR2RGB)
img = cv2.resize(img, (227, 227))
# predict the move made
pred = model.predict(np.array([img]))
move_code = np.argmax(pred[0])
user_move_name = mapper(move_code)
# predict the winner (human vs computer)
if prev_move != user_move_name:
if user_move_name != "none":
computer_move_name = choice(['rock', 'paper', 'scissors'])
winner = calculate_winner(user_move_name, computer_move_name)
else:
computer_move_name = "none"
winner = "Waiting..."
prev_move = user_move_name
# display the information
font = cv2.FONT_HERSHEY_SIMPLEX
cv2.putText(frame, "Your Move: " + user_move_name,
(50, 50), font, 1.2, (255, 255, 255), 2, cv2.LINE_AA)
cv2.putText(frame, "Computer's Move: " + computer_move_name,
(750, 50), font, 1.2, (255, 255, 255), 2, cv2.LINE_AA)
cv2.putText(frame, "Winner: " + winner,
(400, 600), font, 2, (0, 0, 255), 4, cv2.LINE_AA)
if computer_move_name != "none":
icon = cv2.imread(
"{}.png".format(computer_move_name))
icon = cv2.resize(icon, (400, 400))
frame[100:500, 800:1200] = icon
cv2.imshow("Rock Paper Scissors", frame)
k = cv2.waitKey(10)
if k == ord('q'):
break
cap.release()
cv2.destroyAllWindows()
我的网络摄像头有问题吗?我尝试调整框架大小,但它不起作用。
您可以使用以下方法调整大小:
width = 1500
height = 1080
dim = (width, height)
frame = cv2.resize(frame, dim, interpolation=cv2.INTER_AREA)