Intel:
AMD Equivalent:
# These CPUs can handle basic operations:
def basic_processing(frame):
hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
yellow_mask = cv2.inRange(hsv, lower_yellow, upper_yellow)
# May experience frame drops at higher resolutions
Intel:
AMD Equivalent:
# These CPUs handle multi-threaded operations well:
cv2.setNumThreads(4) # Can fully utilize thread allocation
self.frame_queue = Queue(maxsize=2) # Smooth parallel processing
Intel:
AMD Equivalent:
# Minimum Tier:
cap.set(cv2.CAP_PROP_FRAME_WIDTH, 1280)
cap.set(cv2.CAP_PROP_FRAME_HEIGHT, 720)
# Expected: 25-30 FPS
# Recommended/Optimal Tier:
cap.set(cv2.CAP_PROP_FRAME_WIDTH, 1920)
cap.set(cv2.CAP_PROP_FRAME_HEIGHT, 1080)
# Expected: 30-60 FPS
NVIDIA:
AMD:
# GPU acceleration can be enabled with:
if cv2.cuda.getCudaEnabledDeviceCount() > 0:
# Enable CUDA acceleration
cv2.cuda_GpuMat()
# For AMD systems, you might want to optimize thread count:
if platform.processor().startswith('AMD'):
cv2.setNumThreads(8) # AMD CPUs often have more threads