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while True:
ret, frame = cap.read()
if not ret:
break
height, width, channels = frame.shape
print(f"Width: {width}, Height: {height}")
# Convert to YUV format
yun_image = cv2.cvtColor(frame, cv2.COLOR_BGR2YUV)
# Separate Y, U, V channels
y = yun_image[:, :, 0]
u = yun_image[:, :, 1]
v = yun_image[:, :, 2]
# Downsample U and V (subsample by 2 in both width and height)
u = u[::2, ::2]
v = v[::2, ::2]
# Flatten Y, U, V channels
y_flat = y.flatten()
uv_flat = np.dstack((u.flatten(), v.flatten())).flatten()
# Combine Y and UV for NV12 format
nv12_data = np.concatenate((y_flat, uv_flat))
import PyNvVideoCodec as nvc
import numpy as np
encoder = nvc.CreateEncoder(
640,
480,
"NV12",
True)
frame_size = 640 * 480 * 1.5
bitstream = encoder.Encode(nv12_data) # encode frame one by one
if cv2.waitKey(1) & 0xFF == ord('q'):
break
cap.release()
cv2.destroyAllWindows()`
The text was updated successfully, but these errors were encountered:
`import cv2
import numpy as np
cap = cv2.VideoCapture(0)
while True:
ret, frame = cap.read()
if not ret:
break
cap.release()
cv2.destroyAllWindows()`
The text was updated successfully, but these errors were encountered: