1 | initial version |
Problem Solved. Because of the numpy memory allocation, excessive memory usage do not directly get free from system 's virtual memory.
The Solution is simple :). Instead of creating and destroying new memory in loop, we use in-memory API.
The following code have stable memory usage pattern.
def main():
M = np.random.randn(3,3)
img = np.random.randint(255, size=(4096, 4096, 3))
img = np.uint8(img)
rot = np.zeros_like(img)
while(1):
cv2.warpPerspective(img, M, (4096, 4096), dst=rot)
time.sleep(1)